Metadata-Version: 2.1
Name: pyOSCUD
Version: 0.1.1
Summary: Libreria de python para Programacion y Control de Operaciones
Home-page: https://github.com/erlopezs/pyOSCUD
Author: eduynl
Author-email: eduynl@gmail.com
License: GNU General Public License v1.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: pulp
Requires-Dist: numpy
Requires-Dist: gurobipy
Requires-Dist: matplotlib
Requires-Dist: openpyxl
Requires-Dist: networkx

# **pyOSCUD-Librería de Python para la Programación y Control de Operaciones**

**Autor: Eduyn Ramiro Lopez Santana, PhD.**

**Universidad Distrital Francisco José de Caldas**

pyOSCUD– (Python library for Operations Scheduling and Control – Universidad Distrital ) es una librería en python creada para la programación y control de operaciones. Esta librería tiene cinco clases (ver Figura 3‑1) que cubren problemas de programación de operaciones para tres ambientes específicos: una máquina, maquinas paralelas y múltiples maquinas, el problema de balanceo de líneas de ensamble y la representación de control en una línea de producción basada en física de planta.

![](data:image/png;base64,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)

Figura 3‑1. Diagrama de clases de pyOSCUD

Fuente: Elaboración propia.

Para la utilización de esta librería debe instalarse e importarse las librerías PulP, pandas, numpy, matplotlib, plotly, networkx e intertools. También debe importarse las librerías: math, random, y copy, como complementos.

Esta librería se encuentra en el Anexo A.

## Problemas de Una Máquina

El problema consiste en una sola máquina (también llamado recurso) que debe procesar el conjunto de operaciones que se le asignen buscando optimizar un objetivo. La salida es una secuencia de operaciones (también se le puede llamar permutación) que define el programa (schedule). Una representación de este problema se presenta en Figura 3‑2, donde los trabajos arriban a la estación siguiendo un proceso que puede ser determinístico o estocástico, y luego son procesados de a uno, para posteriormente ser entregados en el orden que determina la solución al problema.

![A diagram of a work flow

Description automatically generated](data:image/png;base64,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)

Figura 3‑2. Esquema de arribo y salida de trabajos para un maquina o estación de trabajo

Fuente: Elaboración propia.

Este tipo de problemas se considera el más sencillo (en comparación de los demás configuraciones) y en muchas ocasiones son la reducción de otros problemas o subproblemas en esquemas de solución iterativos, (M. L. Pinedo, 2022).

### Estructura de la clase SingleMachineSP

Como argumentos de entrada esta clase tiene los establecidos en la Tabla 3‑1, indicando el tipo de obligatorio, fijo u opcional, la descripción y un ejemplo de ingreso. Cabe resaltar que un problema sencillo solo requiere tres argumentos obligatorios (n, J, p).

Tabla 3‑1. Argumentos de entrada para SingleMachineSP

| **Parámetro** | **Tipo** | **Descripción** | **Ejemplo** |
| --- | --- | --- | --- |
| n   | Obligatorio | Número de trabajos | 4   |
| J   | Obligatorio | Lista de Trabajos | \["A","B","C","D"\] |
| p   | Obligatorio | Tiempos de Procesamiento | {"A":20, "B":14, "C":35, "D":10} |
| m   | Fijo m =1 | Número de máquinas | 1   |
| prec | Opcional, default {} | Listado de arcos del grafo de relaciones de precedencia entre trabajos. | \[("A","B"),("A","C")\] |
| M   | Opcional, default \[‘M1’\] | Lista de Máquinas | \["Maquina 1"\] |
| d   | Opcional, default {} | Fechas de entrega | {"A":25, "B":45, "C":50, "D":30} |
| r   | Opcional, default {} | Tiempo de liberación | {"A":0, "B":0, "C":0, "D":0} |
| w   | Opcional, default {} | Pesos (importancia) de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w1  | Opcional, default {} | Pesos asociados a la Anticipación de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w2  | Opcional, default {} | Pesos asociados a la Tardanza de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| sj  | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo | {"A":5, "B":5, "C":5, "D":5} |
| sijk | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo dependiente de la secuencia |     |
| Start | Opcional, 0 | Tiempo de inicio de la programación | 0   |
| objective | Opcional, default None | Función objetivo, posibles valores:<br><br>"AvgC":<br><br>"AvgE":<br><br>"AvgT":<br><br>"MinTotalLateJobs":<br><br>"WeightedC":<br><br>"WeightedT":<br><br>"WeightedE":<br><br>"WeightedT+E":<br><br>"Tmax":<br><br>"Emax":<br><br>"Cmax":<br><br>"Lmax":<br><br>"sijk":<br><br>None:\["AvgC", "AvgE","AvgT"\] | None |
| gantt | Opcional, default False | Si es Verdadero (True), presenta el diagrama de gantt para la solución, default False | True |
| verbose | Opcional, default False | Si es Verdadero (True), presenta el detalle del programa para la solución, default False | True |

Fuente: Elaboración propia.

Los principales métodos para representar la solución del problema y calcular el desempeño son presentados en la Tabla 3‑2, indicando la función, los argumentos de entrada, la descripción y la salida generada. Con la función set_sequence() se genera una secuencia o permutación de trabajos que será la entrada para ejecutar los métodos como se muestra en la Figura 3‑3, donde inicia con process() para calcular las variables del programa, luego visualize() el diagrama de gantt, y finalmente compute_objective() para evaluar el desempeño. La función showResults()es opcional para mostrar los detalles del programa, desde la función process() cuando la variable verbose es True.

Tabla 3‑2. Principales métodos para una solución de SingleMachineSP

| **Función** | **Argumentos de entrada** | **Descripción** | **Salida** |
| --- | --- | --- | --- |
| set_sequence(seq) | seq: secuencia de solución (generada de manera manual) | Establece una permutación como solución, para poder utilizarla para calcular las métricas de desempeño. | Sequence: lista con la permutación de la solución |
| process(Sequence) | Sequence: lista con la permutación de la solución | Realiza los cálculos correspondientes al programa, valores de . | results: diccionario con los detalles de la solución |
| compute_ objective(objective) | objective: función objetivo a calcular | Evalúa la función objetivo deseada para una solución calculada con la función process(). | obj: valor de la función objetivo. |
| visualize(results) | results: diccionario con los detalles de la solución | Crea el diagrama de Gantt de la solución. | Diagrama de Gantt orientado a trabajos y orientado a maquinas. |
| showResults(Sequence) | Sequence: lista con la permutación de la solución | Presenta los detalles del programa calculado. | Ninguno. |
| visualize_Graph(results) | results: diccionario con los detalles de la solución | Crea el diagrama del grafo para las relaciones de precedencia. | Grafo de las relaciones de precedencia. |

Fuente: Elaboración propia.

![](data:image/png;base64,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)

Figura 3‑3. Diagrama de secuencia de set_sequence() para SingleMachineSP

Fuente: Elaboración propia.

A manera de ejemplo, considere 4 trabajos que deben procesarse en una máquina para un problema tipo . Es decir, las restricciones de este problema corresponden:

- los trabajos están disponibles en el tiempo 0 (,
- no se permite la división de trabajos, es decir, si un trabajo empieza debe procesarse hasta finalizar
- la máquina está disponible desde el tiempo 0, y solo puede procesar un trabajo a la vez
- no hay tiempos de alistamiento, es decir que las transiciones entre trabajos son despreciables.

Lo primero es instalar e importar la librería:

\# isntalar la libreria

pip install pyOSCUD

\# importar la libreria

from pyOSCUD import SingleMachineSP

Los tiempos de procesamiento se describen a continuación junto con el código de ejecución:

\# n: numero de trabajos

n = 4

\# p: lista de tiempos de procesamiento

p = \[20,14,35,10\]

\# Trabajos: lista de etiquetas

J = \["A","B","C","D"\]

p ={J\[j\]:p\[j\] for j in range(n)}

\# Create a Single Machine instance

SM = psm.SingleMachineSP(n=n, J=J, p=p)

\# Establece la secuencia

s=SM.set_sequence(\["A","B","C","D"\])

\# obtener resultados

res=SM.process(s)

\# visualizar el Gantt

SM.visualize(res)

\# calcular objetivos

SM.compute_objective(None)

\# mostrar detalle de los resultados

SM.showResults(s)

![A screenshot of a graph

Description automatically generated](data:image/png;base64,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)![A screenshot of a computer screen

Description automatically generated](data:image/png;base64,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)

Figura 3‑4. Ejemplo de Resultados SingleMachineSP

Fuente: Elaboración propia.

Los resultados son los siguientes en la Figura 3‑4. Se puede observar el detalle de la solución dada una secuencia establecida, con un makespan de 79, un promedio de tiempos de finalización de 50.5. Se puede observar que el promedio de la anticipación es de 0, y de tardanza de 50.5 (dado que se asume por defecto que las fechas de entrega son 0). En las siguientes secciones se describirán los métodos desarrollados que permiten obtener secuencias aplicando reglas o algoritmos específicos, y un modelo de optimización planteado.

## Problemas de Máquinas Paralelas

El problema consiste en una sola estación de trabajo con varias máquinas en paralelo que debe procesar el conjunto de operaciones que se le asignen buscando optimizar un objetivo. La salida es una secuencia de operaciones (también se le puede llamar permutación) para cada máquina que define el programa (schedule). Una representación de este problema se presenta en Figura 3‑6, donde los trabajos arriban a la estación siguiendo un proceso que puede ser determinístico o estocástico, y luego son procesados de a uno en una de las maquinas en paralelo, para posteriormente ser entregados.

![A diagram of a diagram

Description automatically generated](data:image/png;base64,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)

Figura 3‑6. Esquema de arribo y salida de trabajos para maquinas en paralelo

Fuente: Elaboración propia.

Este tipo de problemas se considera una generalización del problema de una maquina y un caso particular de máquinas múltiples, (M. L. Pinedo, 2022).

### Estructura de la clase ParallelMachineSP

Como argumentos de entrada esta clase tiene los establecidos en la Tabla 3‑4, indicando el tipo de obligatorio, fijo u opcional, la descripción y un ejemplo de ingreso. Cabe resaltar que un problema sencillo solo requiere seis argumentos obligatorios (n, m, J, M, p, ty).

Tabla 3‑4. Argumentos de entrada para SingleMachineSP

| **Parámetro** | **Tipo** | **Descripción** | **Ejemplo** |
| --- | --- | --- | --- |
| n   | Obligatorio | Número de trabajos | 4   |
| J   | Obligatorio | Lista de Trabajos | \["A","B","C","D"\] |
| m   | Obligatorio | Número de máquinas | 2   |
| M   | Obligatorio | Lista de Máquinas | \[“MA”,”MB”\] |
| p   | Obligatorio | Tiempos de Procesamiento | {"A":25, "B":45, "C":50, "D":30} |
| ty  | Obligatorio | Tipo de problema de programación<br><br>P - maquinas paralelas idénticas<br><br>Q - maquinas paralelas uniformes (distintas velocidades)<br><br>R – maquinas paralelas no relacionados () | P   |
| prec | Opcional, default {} | Listado de arcos del grafo de relaciones de precedencia entre trabajos. | \[("A","B"),("A","C")\] |
| d   | Opcional, default {} | Fechas de entrega | {"A":25, "B":45, "C":50, "D":30} |
| r   | Opcional, default {} | Tiempo de liberación | {"A":0, "B":0, "C":0, "D":0} |
| w   | Opcional, default {} | Pesos (importancia) de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w1  | Opcional, default {} | Pesos asociados a la Anticipación de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w2  | Opcional, default {} | Pesos asociados a la Tardanza de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| sj  | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo | {"A":5, "B":5, "C":5, "D":5} |
| sijk | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo dependiente de la secuencia |     |
| Start | Opcional, 0 | Tiempo de inicio de la programación | 0   |
| objective | Opcional, default None | Función objetivo, posibles valores:<br><br>"AvgC":<br><br>"AvgE":<br><br>"AvgT":<br><br>"MinTotalLateJobs":<br><br>"WeightedC":<br><br>"WeightedT":<br><br>"WeightedE":<br><br>"WeightedT+E":<br><br>"Tmax":<br><br>"Emax":<br><br>"Cmax":<br><br>"Lmax":<br><br>"sijk":<br><br>None:\["AvgC", "AvgE","AvgT"\] | None |
| gantt | Opcional, default False | Si es Verdadero (True), presenta el diagrama de gantt para la solución, default False | True |
| verbose | Opcional, default False | Si es Verdadero (True), presenta el detalle del programa para la solución, default False | True |

Fuente: Elaboración propia.

Los principales métodos para representar la solución del problema y calcular el desempeño son presentados en la Tabla 3‑5, indicando la función, los argumentos de entrada, la descripción y la salida generada. Con la función set_sequence() se genera una secuencia o permutación de trabajos que será la entrada para ejecutar los métodos como se muestra en la Figura 3‑7, donde inicia con process() para calcular las variables del programa, luego visualize() el diagrama de gantt, y finalmente compute_objective() para evaluar el desempeño. La función showResults()es opcional para mostrar los detalles del programa, desde la función process() cuando la variable verbose es True. Se puede observar que la estructura es muy similar a la de la librería de Una Maquina (Figura 3‑3), solo cambian los argumentos de entrada de algunas funciones y el uso de la lista sequenceMach que es un arreglo con la lista de trabajos asignados a cada maquina en su orden.

Tabla 3‑5. Principales métodos para una solución de SingleMachineSP

| **Función** | **Argumentos de entrada** | **Descripción** | **Salida** |
| --- | --- | --- | --- |
| set_sequence(seq) | seq: secuencia de solución (generada de manera manual) | Establece una permutación como solución, para poder utilizarla en la programación. | Sequence: lista con la permutación de la solución |
| process(Sequence, sequenceMach={}) | Sequence: lista con la permutación de la solución<br><br>sequenceMach={}, es un arreglo con la lista de trabajos asignados a cada maquina en su orden | Si sequenceMach es vacío, entonces lo determina usando la secuencia dada.<br><br>Realiza los cálculos correspondientes al programa, valores de . | results: diccionario con los detalles de la solución |
| compute_ objective(objective) | objective: función objetivo a calcular | Evalúa la función objetivo deseada para una solución calculada con la función process(). | obj: valor de la función objetivo. |
| visualize(results) | results: diccionario con los detalles de la solución | Crea el diagrama de Gantt de la solución. | Diagrama de Gantt orientado a trabajos y orientado a maquinas. |
| showResults(sequenceMach) | sequenceMach: es un arreglo con la lista de trabajos asignados a cada maquina en su orden | Presenta los detalles del programa calculado. | Ninguno. |
| visualize_Graph(results) | results: diccionario con los detalles de la solución | Crea el diagrama del grafo para las relaciones de precedencia. | Grafo de las relaciones de precedencia. |

Fuente: Elaboración propia.

![](data:image/png;base64,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)

Figura 3‑7. Diagrama de secuencia de set_sequence() para ParallelMachineSP

Fuente: Elaboración propia.

A manera de ejemplo, considere la situación planteada por (M. L. Pinedo, 2022) para el problema tipo con 9 trabajos a procesar en 4 máquinas idénticas. Las restricciones de este problema corresponden:

- los trabajos están disponibles en el tiempo 0 (,
- no se permite la división de trabajos, es decir, si un trabajo empieza debe procesarse hasta finalizar
- cada máquina está disponible desde el tiempo 0, y solo puede procesar un trabajo a la vez
- no hay tiempos de alistamiento, es decir que las transiciones entre trabajos son despreciables.

Lo primero es instalar e importar la librería:

\# isntalar la libreria

pip install pyOSCUD

\# importar la libreria

from pyOSCUD import ParallelMachineSP

Ahora se realiza la definición de los tiempos de procesamiento y el ambiente de máquina:

\# n: numero de trabajos

n = 9

\# m: numero de maquinas

m = 4

\# p: lista de tiempos de procesamiento

p = \[7,7,6,6,5,5,4,4,4\]

tags = \["A","B","C","D","E","F","G","H","I"\]

M=\["M1","M2","M3","M4"\]

\# start: tiempo de inicio

p ={tags\[j\]:p\[j\] for j in range(n)}

start = 0

\# Create a Single Machine instance

PM = ParallelMachineSP(n=n,m=m, ty='P',J=tags, M=M, p=p)

Ahora se resuelve el problema, por ejemplo aplicando una secuencia inicial:

jl=PM.set_sequence(tags)

res=PM.process(jl)

PM.visualize(res)

PM.showResults(jl)

PM.compute_objective('Cmax')

Los resultados obtenidos se presentan en Figura 3‑8.

![A graph of a job schedule

Description automatically generated with medium confidence](data:image/png;base64,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)

![A screenshot of a computer program

Description automatically generated](data:image/png;base64,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)

Figura 3‑8. Ejemplo de Resultados ParallelMachineSP

Fuente: Elaboración propia.

## Problemas de Múltiples Maquinas

El problema consiste en una configuración de estaciones de trabajo con varias máquinas a través de la cual se debe procesar el conjunto de operaciones buscando optimizar un objetivo. Dependiendo de la naturaleza de la configuración, los trabajos se procesarán en todas o algunas de las maquinas teniendo una ruta definida o por definir, sujeta a diferentes restricciones operacionales. Este tipo de problemas es más complejo y representa la mayor cantidad de trabajos aplicados en esta área de conocimiento (M. L. Pinedo, 2022).

### Estructura de la clase MultiMachineSP

Como argumentos de entrada esta clase tiene los establecidos en la Tabla 3‑7, indicando el tipo de obligatorio u opcional, la descripción y un ejemplo de ingreso. Cabe resaltar que un problema sencillo solo requiere seis argumentos obligatorios (n, m, J, M, p, ty) al igual que la librería de máquinas paralelas.

Tabla 3‑7. Argumentos de entrada para MultiMachineSP

| **Parámetro** | **Tipo** | **Descripción** | **Ejemplo** |
| --- | --- | --- | --- |
| n   | Obligatorio | Número de trabajos | 4   |
| J   | Obligatorio | Lista de Trabajos | \["A","B","C","D"\] |
| m   | Obligatorio | Número de máquinas | 3   |
| M   | Obligatorio | Lista de Máquinas | \[“MA”,”MB”\] |
| p   | Obligatorio | Tiempos de Procesamiento | {"A":{"MA": 5, "MB": 2}, "B":{"MA": 5, "MB": 15}, "C":{"MA": 10, "MB": 8}, "D":{"MA": 3, "MB": 2}} |
| ty  | Obligatorio | Tipo de problema de programación<br><br>F – Flow Shop<br><br>J – Job Shop<br><br>O – Open Shop) | F   |
| prec | Opcional, default {} | Listado de arcos del grafo de relaciones de precedencia entre trabajos. | \[("A","B"),("A","C")\] |
| d   | Opcional, default {} | Fechas de entrega | {"A":10, "B":15, "C":10, "D":12} |
| r   | Opcional, default {} | Tiempo de liberación | {"A":0, "B":0, "C":0, "D":0} |
| w   | Opcional, default {} | Pesos (importancia) de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w1  | Opcional, default {} | Pesos asociados a la Anticipación de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| w2  | Opcional, default {} | Pesos asociados a la Tardanza de cada trabajo | {"A":1, "B":1, "C":1, "D":1} |
| sj  | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo | {"A":5, "B":5, "C":5, "D":5} |
| sijk | Opcional, default {} | Tiempo de setup (alistamiento) de cada trabajo dependiente de la secuencia |     |
| Start | Opcional, 0 | Tiempo de inicio de la programación | 0   |
| objective | Opcional, default None | Función objetivo, posibles valores:<br><br>"AvgC":<br><br>"AvgE":<br><br>"AvgT":<br><br>"MinTotalLateJobs":<br><br>"WeightedC":<br><br>"WeightedT":<br><br>"WeightedE":<br><br>"WeightedT+E":<br><br>"Tmax":<br><br>"Emax":<br><br>"Cmax":<br><br>"Lmax":<br><br>"sijk":<br><br>None:\["AvgC", "AvgE","AvgT"\] | None |
| gantt | Opcional, default False | Si es Verdadero (True), presenta el diagrama de gantt para la solución, default False | True |
| verbose | Opcional, default False | Si es Verdadero (True), presenta el detalle del programa para la solución, default False | True |

Fuente: Elaboración propia.

Los principales métodos para representar la solución del problema y calcular el desempeño son presentados en la Tabla 3‑8, indicando la función, los argumentos de entrada, la descripción y la salida generada. Se debe resaltar que siguen el mismo esquema del caso de máquinas paralelas. Con la función set_sequence() se genera una secuencia o permutación de trabajos que será la entrada para ejecutar los métodos como se muestra en la Figura 3‑11, donde inicia con process() para calcular las variables del programa, luego visualize() el diagrama de gantt, y finalmente compute_objective() para evaluar el desempeño. La función showResults()es opcional para mostrar los detalles del programa, desde la función process() cuando la variable verbose es True.

Tabla 3‑8. Principales métodos para una solución de MultiMachineSP

| **Función** | **Argumentos de entrada** | **Descripción** | **Salida** |
| --- | --- | --- | --- |
| set_sequence(seq) | seq: secuencia de solución (generada de manera manual) | Establece una permutación como solución, para poder utilizarla en la programación. | Sequence: lista con la permutación de la solución |
| process(Sequence, sequenceMach={}, optimum=False) | Sequence: lista con la permutación de la solución<br><br>sequenceMach={}, es un arreglo con la lista de trabajos asignados a cada maquina en su orden<br><br>optimum=False, es una condición que calcula si la secuencia es óptima o no para el open shop | Si sequenceMach es vacío, entonces lo determina usando la secuencia dada.<br><br>Realiza los cálculos correspondientes al programa, valores de . | results: diccionario con los detalles de la solución |
| compute_ objective(objective) | objective: función objetivo a calcular | Evalúa la función objetivo deseada para una solución calculada con la función process(). | obj: valor de la función objetivo. |
| visualize(results) | results: diccionario con los detalles de la solución | Crea el diagrama de Gantt de la solución. | Diagrama de Gantt orientado a trabajos y orientado a maquinas. |
| showResults(sequenceMach) | sequenceMach: es un arreglo con la lista de trabajos asignados a cada maquina en su orden | Presenta los detalles del programa calculado. | Ninguno. |
| visualize_Graph(results) | results: diccionario con los detalles de la solución | Crea el diagrama del grafo para las relaciones de precedencia. | Grafo de las relaciones de precedencia. |

Fuente: Elaboración propia.

![A diagram of a graph

Description automatically generated](data:image/png;base64,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)

Figura 3‑11. Diagrama de secuencia de set_sequence() para MultiMachineSP

Fuente: Elaboración propia.

A manera de ejemplo, considere 5 trabajos que deben procesarse en dos máquinas para un problema tipo . Es decir, las restricciones de este problema corresponden:

- los trabajos están disponibles en el tiempo 0 (,
- no se permite la división de trabajos, es decir, si un trabajo empieza debe procesarse hasta finalizar
- cada máquina está disponible desde el tiempo 0, y solo puede procesar un trabajo a la vez
- no hay tiempos de alistamiento, es decir que las transiciones entre trabajos son despreciables.

Lo primero es instalar e importar la librería:

\# instalar la libreria

pip install pyOSCUD

from pyOSCUD import MultiMachineSP

Ahora se realiza la definición de los tiempos de procesamiento y el ambiente de máquina:

\# n: numero de trabajos

n = 5

\# m: numero de maquinas

m = 2

\# M: maquinas

M=\['M1','M2'\]

\# p: lista de tiempos de procesamiento

p =\[\[5,1,9,3,10\],\[2,6,7,8,4\]\]

\# d: lista de tiempos de entrega

d= \[15,6,9,23,20\]

\# r: lista de tiempos de inicio

r = \[0,0,0,0,0\]

\# w: lista de pesos

w = \[1,1,1,1,1\]

\# tags: lista de etiquetas

tags = \['J1','J2','J3','J4','J5'\]

p ={tags\[j\]:{M\[i\]: p\[i\]\[j\] for i in range(m) }for j in range(n)}

d ={tags\[j\]:d\[j\] for j in range(n)}

r ={tags\[j\]:r\[j\] for j in range(n)}

w ={tags\[j\]:w\[j\] for j in range(n)}

F2 = MultiMachineSP(n=n,m=m,M=M,J=tags,p=p,d=d,r=r,w=w,ty="Flow-Shop",verbose=True)

s=F2.set_sequence(tags)

res=F2.process(s)

F2.visualize(res)

Ahora se resuelve el problema, por ejemplo aplicando una secuencia inicial:

s=F2.set_sequence(tags)

res=F2.process(s)

F2.visualize(res)

Los resultados obtenidos se muestran en la Figura 3‑12.

![A screenshot of a computer screen

Description automatically generated](data:image/png;base64,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)

![A graph with multiple colored squares

Description automatically generated with medium confidence](data:image/png;base64,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)

Figura 3‑12. Ejemplo de Resultados MultiMachineSP

Fuente: Elaboración propia.

## Problema de Balanceo de Líneas de Ensamble

En este problema se considera un conjunto de trabajos que deben procesarse en una línea compuesta por un número de estaciones donde cada estación tenga un tiempo de proceso llamado también tiempo de ciclo . El problema consiste en encontrar la mejor asignación para que la línea sea “balanceada” en cuanto a la carga de trabajo asignada a las estaciones buscando minimizar el tiempo de ciclo o el número de estaciones, lo cual equivale a minimizar el tiempo de ocio y maximizar la eficiencia del ciclo.

### Estructura de la clase ProductionBalance

Como argumentos de entrada esta clase tiene los establecidos en la Tabla 3‑9, indicando el tipo de obligatorio u opcional, la descripción y un ejemplo de ingreso. Cabe resaltar que un problema sencillo solo requiere cuatro argumentos obligatorios (n, J, p, R) al igual que la librería de máquinas paralelas.

Tabla 3‑9. Argumentos de entrada para ProductionBalance

| **Parámetro** | **Tipo** | **Descripción** | **Ejemplo** |
| --- | --- | --- | --- |
| n   | Obligatorio | Número de trabajos | 5   |
| J   | Obligatorio | Lista de Trabajos | J=\['A','B','C','D','E'\] |
| p   | Obligatorio | Tiempos de Procesamiento | p={'A':4,'B':2,'C':3,'D':5,'E':2} |
| R   | Obligatorio | Listado de arcos del grafo de relaciones de precedencia entre trabajos. | R=(('A','C'),('B','E'),('C','D'),('E','D')) |
| ct  | Opcional, default False | Tiempo de ciclo | 6   |
| ko  | Opcional, default False | Número mínimo de estaciones | 3   |
| Kmax | Opcional, default False | Número máximo de estaciones | 5   |
| objective | Opcional, default None | Función objetivo, posibles valores:<br><br>"Min K”: Número mínimo de estaciones<br><br>"Min idle":Tiempo ocioso mínimo<br><br>"Min ct":tiempo de ciclo mínimo<br><br>"Mincost":función objetivo relacionada con un costo equivalente de usar una maquina adicional a ko<br><br>None:\[‘Mincost’\] por defecto | None |
| gantt | Opcional, default False | Si es Verdadero (True), presenta el diagrama de gantt para la solución, default False | True |
| verbose | Opcional, default False | Si es Verdadero (True), presenta el detalle del programa para la solución, default False | True |

Fuente: Elaboración propia.

Los principales métodos para obtener una solución del problema y para calcular el desempeño son presentados en la Tabla 3‑10 indicando la función, los argumentos de entrada, la descripción y la salida generada. Al aplicar algunas de las reglas (se presentan en la Tabla 3‑11 más adelante) obtenidas se obtiene los tres argumentos de salida results, cft, y kf que son el diccionario con los resultados detallados para construir la solución, el tiempo de ciclo y número de estaciones obtenidos, respectivamente. Como ejemplo se presenta la Figura 3‑17 de la regla SPT, donde inicia con su ejecución, y llama a un problema de una sola máquina aplicando la regla SPT en cada iteración sobre los trabajos que no tengan precedencias en un esquema forward. Con estos resultados se procede a visualizar la solución en el grafo con la función visualize_Graph() y evaluar el desempeño con la función performance().

Tabla 3‑10. Principales métodos para una solución de ProductionBalance

| **Función** | **Argumentos de entrada** | **Descripción** | **Salida** |
| --- | --- | --- | --- |
| init() | All | Define los argumentos de entrada, y solicita la información relevante a:<br><br>ct: tiempo de ciclo<br><br>ko: número mínimo de estaciones<br><br>También calcula el desempeño teórico de la solución:<br><br>EC: eficiencia del ciclo<br><br>d: retraso del balance<br><br>I: tiempo muerto | Problema de Balanceo de Líneas de Producción |
| visualize_Graph() | results: diccionario con los detalles de la solución | Crea el diagrama del grafo para las relaciones de precedencia. | Grafo de las relaciones de precedencia y asignación de estaciones. |
| performance(results, ctf, kf) | results: diccionario con los detalles de la solución<br><br>ctf: tiempo de ciclo<br><br>kf: número de estaciones | Evalúa el desempeño de la solución:<br><br>EC: eficiencia del ciclo<br><br>d: retraso del balance<br><br>I: tiempo muerto<br><br>De manera general y por estaciones. | Resumen de los resultados. |
| optimizationModel(problemName, objetiveFunction) | problemaName: nombre del problema de optimización<br><br>objetiveFunction: Función objetivo, posibles valores: "Min K”: Número mínimo de estaciones<br><br>"Min idle":Tiempo ocioso mínimo<br><br>"Mincost":función objetivo relacionada con un costo equivalente de usar una maquina adicional a ko<br><br>None:\[‘Mincost’\] por defecto | Crea el modelo de optimización para resolver el problema. | Modelo de optimización |
| solve() | Ninguno | Resuelve el modelo de optimización | results: diccionario con los detalles de la solución<br><br>cft: tiempo de ciclo<br><br>kf: número de estaciones |

Fuente: Elaboración propia.

![Diagrama

Descripción generada automáticamente](data:image/png;base64,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)

Figura 3‑17. Diagrama de secuencia de SPT() para ProductionBalance

Fuente: Elaboración propia.

A manera de ejemplo, considere 5 trabajos que deben procesarse en una línea de ensamble según la información se la sección 1.3.1.

Lo primero es instalar e importar la librería:

\# instalar la libreria

pip install pyOSCUD

from pyOSCUD import ProductionBalance

Ahora, se define la información necesaria para resolver el problema:

# Información de entrada

n=5

J=\['A','B','C','D','E'\]

p={'A':4,'B':2,'C':3,'D':5,'E':2}

R=(('A','C'),('B','E'),('C','D'),('E','D'))

Kmax=5

ct=6

ko=3

B1 = ProductionBalance(n=n,J=J,p=p,ko=ko,ct=ct,R=R)

Ahora se resuelve el problema aplicando una secuencia dada:

B1.optimizationModel('EjemploO','Min K')

res,cf,kf = B1.solve()

B1.visualize_Graph(res)

B1.showModel("SBLP1.txt")

B1.performance(res,cf,kf)

Los resultados obtenidos se muestran en la Figura 3‑18.

![A screenshot of a computer

Description automatically generated](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAh4AAALpCAYAAAD8VC/rAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAHPTSURBVHhe7d0HvBTV2cfxa8xritGYmNgVu1ixix1BMSiWiNgLYG9XsKNYsGJE1BgFr6LBFrGXWCkqClZUEI2KiCKogIiANFGfd54zM7tnZme23d25W35fPke5O3VnL3P+e2bmnAYBAABICMEDAAAkhuABAAASQ/AAAACJqa3gMaxRWrVqlJHej6hNUwZ1kFYdm2SK93Pi+D0DgKJlBo/JTdKhVSvnxBosjcPcE36HQS12us+tRiqEkb3c493SdD/8z785n3sxvzfZlqnf4DFFmjpm/rsEgGqSpcVjpDS26iBNk70fHRUfPGpERQQPDaAlqtxLHTzqlwaP4L9JAKg2RQSPJud17xtXL+s7X6ClJPe3QVO59tJvjvpt2lunX9GZb5T+uvxK2Pu2l9qm7p//Tdz+JmhvW+dpdLajrzvvZZC/PWeZUMWaqujM684yZn2NzjLOt+vUPsRxtuOsqynVQpA+bsEKNF1xmNed92+OWS9nWW97uu/m2DjHxD+egQrYPjYZ+299NvmEhsBxDn1mOs3+fHNyPw9/faljab3mlvSxsVtUUtvPuoy1jYz3F9x+6vPS9aWOrxbrfQbef3q/4sX9nqmI928x7zWfzyQrggeA6ldw8AhWAvbfQyf0HCfZ1InYnPx1PaF1pNivhyru0Mk9Yz/Mz24lENieVqjZgoezTOMwr5Jx5o3eli29HWWOk1dpB5cN7r+pvALbc6cFKyldt3ecI/bZ3o5dGeo6soYls13rWPmfmbc/6QpZi31MowXfZ1C2aSn+5+LJukzoODhzm88q/X5Dx8wcX2+Kc1zc9aaPd+HCv2e532PwMy2W9zvpfy7NXh8AJK8Zl1qsE7cJD9YJMY+TYqpiTFU41sk8o/KzTvL+tMj1hyuE9M8Z2wtVXqn3lno9/f5yV5yh7VqVaNwxy7a9cGjwf9ZlAsdYS+R28hCq6LO9h7zo/Nb+2OL2LeP9WMtmfT+hzy5j3x2pYxj3OTt0Ht2ufazzk7m9bO+/XMz+J7g9ACiF0gWPAk+AqYohtax/Mtf12k3VoZO8ViS99FKIXfH4whVC+ueM7cVVSBFBIGslaIS2ax2PuGOWbXupfTXy24/c+xiS8ZnFv4eC6HL5hAh93/bvV2h7Wd9P6LPL2HdH6hjGfc4WU4EXFEAyt5cS8f7LptjPCABaUGmCR8S8ueQKHn4loNtMt3ikt2NezzjphiuE9M+RwcOf1/zdCzupiiq/Ct8V2q5VIdj76b6X0DojthcIHhn7ab+/tNz7GBJal9k3uzJvTqWWek8u+xikBLbvfub2PJHL+ELr95cPHjPv9zFiX6KOU2HHL/x7FpKxf+5nWtpLI+57LugzB4AKUKLg4dCKSr/peSXXCTE+eHivpdajN0zq6+ETrV1Z6bLpbZtiTvLpdWZuz33Nnd+9idSsO1VppN9f7kopVBEFKm1r38xNjqF1RmwvvV9aMj+D9LR0ZVtYxekKritUkQbeQ27BfbZCgGF/Pun3k17GeU1v/A1sL2IZEyj817ziLxOaFgghVoWfPk72+rWE3n+k8DJO8dad/f170639KE5w+4V+3gBQCbIEDwAAgNIieAAAgMQQPAAAQGIIHgAAIDEEDwAAkJiKDx76NED4CYHy06cH8nnKAQAAFKKig4d53DP0SGfqEdACHvXMxn4MMhBw9HHSZj/+CAAAbJUbPEy/DMFWBw0J2ndBVCAphr++OLmmAwCAwkQGD7eTpYiRTkOdNKUr5ZGxo7M6a3M7+rKWS4UGq6OwcOtCuqOnTCUJHqGOpSLlMw8AAMhbbPCwe3KMvs8i3dOmCR5OePCDgh0MAiHBbsUIVerBMGGvO1NJgofpmTNmuPQUfV/x+wEAAAqTpcUj6nt+sMvmdMtG6GZMq7vtuOBhXg+syykJBg93++ltRK8z+34AAIDCFBQ8zI2YkeEgPngELqc4xW85iduGK6kWD2sdkZdVQu8LAAA0S8HBI/W6CRS5g0f0ZRqHfdklQrZgEhc8zOv5XhoJbT9ynZFhBAAAFKuwSy2msvYvi6RHWi2kxSPc6hH1uhERTMLzZyzjbSsy6ESx9y0iYPBUCwAApRUZPEon85JJZMtCjELmNUxYybPFIxcNJbR2AABQUmUOHhGtFAVW5rGXakLM/SelCh3hFhwAAFASZQ8eAAAAPoIHAABIDMEDAAAkhuABAAASU1vBwzwey02hAABUqszgYffVYRV9skSfUGnpfi2y7kOJgof9JE7efYLAcJ8ucktL/K609PYBANllafHQR0oz++Co6OBRYvk+ygtPS/f02tLbBwDkVETwsIbLtzv3CrSU2K0O2omY/7r9LdTtK6MpsnUhuIx5PbIlxt8/e/6IFg+7h9LU9OA24nouzSd4mOPSq9Hdv9SIt+n9iPsWbr8e3G89NhHLhCpWO4RlfDbWfLGtAIHjkl8fKLqd1DLhY6bry7vDN+c9Oss3pfYtuP3ofc72O+OI2X70Pnud2w1KHwN3O+42Gs3209P9fYj7zEb2ilqXL/h5pvY59t8MANSugoNHuoKwp7sn69SJUysA7wSvJ+r0Sdit7N0Tr3syTk2zKlVdJl2hBPfDrmwzhfZDmZN77pN61HqD+xHPPS7ONryKpHGYV6k5+xxcr/3+Q6xKM/Y95gge4bCj24nffnof82Z9rspsU/c5UIHmW5GGPn9r3fH7HPM7k237cfvsrTcdVPzfnfQ2TMjQZa3PJsB6PTWv/mD2x3//cZ956Hc1tJ8AUKuacanFqrj0pBk+8ZuTaGblll5H6MSb4p74g+tLryO4D2GZ68w2v6ksrO2E5yskeJhlU8HAf99e5WZtQ4u/Tl0uMM2v3PzjGa7sUut32e8t+n1m377//vN5jypjG6H9sSvi3MKflf9ztn2O+53xRGw/fp8zfzdd6W2kPn9rvXGfWfB3xdrP8DHyxf6bAYDaVrrgEVnhZJ7c0+uIq0SyVy4ZFUlA5rKx85sTf3reqPlKEzyiKjeHzmsf36hj6FdO/uuhSsze5+j3mWX7lnwDSMY2wpVq7O9BlNBnZY6H/pxtn7P/bkRtP36f47aT3kZG8MjymRUVPPI+VgBQO0oTPCLm9ekJOb2MzuefoK2Tc0hwmSDdh/gTdsQ69QQftR19PVUhuPsV3mawMomXOi4RlVrs/qYqWqXzWwHDZldc9jLm7+l9zqhgPdmPV1rc8gGBY+Yen8C6C6pMg5+VvZ/x+xz/O2NEbT92n4sNHtGfWfB3xd5P93cr8/dIX4/+NwMAtaxEwcOhJ2fnBOuX9HzuiTf69bhKJLhMsAnanuZvPzS/FmsZU5GlpoUqDu81vWHR3zdTOaXm15K9gkgdl1RIsI+NvR0t6fec3o4zr96YaFVi6fmDlVZ6WnCfg5+NLW774WMW91kEBfYt8Lk4Cg4ecevKts9Z9jNm+9H7bH9GtvQ2dLlA8PBec9eV+ZlFBw+HFxL9fUjNF/tvBgBqV5bgAZRTjhABAKhJBA+0EIIHANQjggcAAEgMwQMAACSG4AEAABJTW8HDPCVQ2H0D5omX8NMZSE4RnxkAoHplBo/Qo39+0UcA4x/ZLIbeXJi5DZv9GKS93cDjsfbjk/USPAKfUZKVtvWZleqYtWDwCPweBR6ZDv1u5vOIcOjfjf37Gnic13qvxWw/dpkith+/TBHbz7JM4dsPbSef4x/Hf2Q59fuq+2nvN4CkZWnxyPwHqicD++TQPLr+LBWOnpQiK7ccy9WBYJ8RLSD2s6kiptKzfo+0gvIqOD2+6d/zuP4+bG6/I5H9eOh6rWOV+jdUzPZjlyli+1mWKXz7WZYpYvvhZYr/fU/vh7+O4tcFoFSKCB6Fjk4bxzrRRLFOagG6nYxKzz2JxW5b15Wxb7p977Ws67NOVLrt1OizWuxtBZdxT66ZxzB4go5j7ZtTgifK9Mk0bxHvXz/LzM8v/X7MdH+Z8PHJ+Rnkc3LP9pkF1xX+PdBjmPmZFco9xv5+2p+Lee/++kPHJY7ZJ38/7YrTLO9/Xu77crdZzPbjlyl8+/HLFLP92GWK3H7g34hOC/0O5Ee35+6HbquxV7HrAVBKBQePdPOqPV3/bp2c7RNfLPcklqpc/BOaOVEFX3crpsz5g029KrQfKnDijKDTQ/tqTlLeyTHwPr19izrx2n+3BU+iEfuXIXhytrdvTtShYxC1zYDY9x/cl8B+5vr8CjlmOUUckxwVjTkOOX+/8uEeaz2O6X336D7oMS5gO+6/D2eZjH3X96jbCR+TYrYfv0zh28+yTBHbj1+msO2b11I/e9vLeE/5Sa3fCetZzwMAEtOMSy16QvCm+yccu+Q8YUdUODZdZ9TJJqLSS8tcZ3CfI2Sszz9J2sV7n6F50+vO8l7sZZz3lDMoRKwrWKlbxz0P2d5/er26zvQ2g9uLUMgxyyni2On6dR2xn3MpuBVa+vOzQpz5fXb3ya24Yj5bi5nP299gMHLXbY6n977Sx7zQ7ccvU/j2syxTxPbjlyli+952Ur9HVtf0xTK/09rioetMbQdASyhd8Cj4xKDr909OEeLWmVHp2TLXGdznCBnry7JfoXnT687+Xkb2co/TSOfEF/t+UzLXZU6a3sk6cNzzkPX96/vRY+z8v9GaJ7i9CIUcs5xyHO9yVRT6+2Wv12xL98Ot9Oz3r8cj6++QeQ/2Z5Jeh6lc7d9jf7vFbD92mSK2H7tMMduPX6bw7Xs/WrL+DudDt2kukbrby/n7DaCsShM8IubNTZeJqXCUOVlETNWTnX3yC4hYp64n23Yi1hdb0YTmTR8P96QZe3J09sHcGxP1fjKETsDm5B4+QRdwrLO+f12XDjbnlNDnHKhgwgo5Zjnl+D2ImK7byrp/+TDH1VqvHidvncH3Evo8HOb4ZK00rX8P1nqVWVZ/D4rZfuwyRWw/yzKFbz/LMkVsPyC8zYL5vz+6PXc9uq+p7Zr1F/u7C6AYJQoeDj3BmKZRt+T+h6zrT8+vJX0Scuj68g4emevKONmlpnknMe+EE1gmtb3Q+vx1hbYdPB7BZYLv350WeH/ZhPYtuFzouOch8v17zLSM4+nssXNyTi1jv//UeryS65jFiv/Mgvub+btk9i3n+nOLPy7ZPkt/udBnkOUzizyWjmK2H7tMEduPX6aI7WdZpnnbD/6+Fib4byW17xH7EP6MAZRPluCBktGTWwkqynLQSiEYbAAAKB+CRzmlvtE151tbefjfQvmmBwBIEsEDAAAkhuABAAASQ/AAAACJIXgAAIDEEDzqgttnAjeSAgBaWmbwCD1b7xd95FKfgy9Z5VXMI6ZWXyEVXYnG9UES4IYB9/2U+6mXlg0eqf4TMo6J319DAf2SZHlSKPZJndhl4rdfzD5X3/azLJPaTvRyefP/zab+ret6C/i8AdScLC0emSeIFg8enpLuRznkFTx8epybcWKvcFqx6WdlKlL7mJjKUN93ARWRHlf9nUkt63ODlYZjf3spcctk2X7h+1yF28+2TMQ+FUe34a5Ht+FvS/8PoH4VETxKNCy+zu+cEJucE1HGMnqyTK0r80QVFTz0hJZeJr0unbfR2efUvgUCgb7H9HLp7bgn5czXswi8f6dY27H3Lbzf7j6EjlfM+8+oIPxKxfsxkrWujG0HthOqaLz3U6pKIqMSTSmiksuoRNMyjpEvdpn47Rezz9W3/cxlov59FUf/Hbnb1G0wLD0AVXDwSFdQ9nT9u3VSy6dCDFVs2U+ywRNmzhOjbt9bl7vP/vL2Pqe/8YWZk2Tq9czjkCk0T2j76X2N2mbm+wuypusxs45rcD+zyzxm6W+jkUKfT3Nl/3xzHd+QAirRlNhl4rdfzD5X3/YzlzG/V7FhvTDmPeg6nN+1uO0DqC/NuNRiVVyBb85eySd42PPYP5uTpL2+4AkruB+u1AnOL7EVv7fP4e2n6Pu21mNK9Ek+xQoaRupnN2gE15VH8Ih9/3ZYcJbLdYwtUcdMK5jM/SkP8/kUWInGMscnv0o0JXaZ+O0Xs8/Vt/3wMt7vbOp3y/25ub8jug2GpQegShc8Ik+QWeiJ0D4BhSrr9HZ0P4InzIxK1JxUrX219id2n8PbT8ncXk5Zg0d0BZEW3l6O9++s20xz/l9IZZBxzCxaKZQ7gBRTicbKuxK1xC4Tv/1i9rn6tp+5jP5s/y5k+93Ji/n3wLD0AFylCR5ZToSxQhV/+uTnVrz+icmcfEMnzIwTYeCk6i7vn7Cz73P0CTD25B0nsH13vfb2oysPn85vv79c79+Z3zluTc63x2xrDcs4ZiHRx7R0FUT8cYj73Qkex4ACKtGU2GXitl/MPlfj9jOXCW43+PtYON1X3a6ux92+bi+1Pu/3LHKfAdSkEgUPh36r0YrCKzlPJN4JJ7WMfYK11uXezOqesMwJ0V7GKf4JTE9m7mvOPg1Kt0Bk3efQPqRPrvre06/n0zSc3r6zr+YbXvDEnVpX6uQf2oYWfzsx799nthVZIWWKP2bh7Qe34R+b4iscV/7bd0rgOHvT7fcZ/p2xpqePv1+8zzl2mfjtF7PP1bf9LMuEphUfCoL/3lLvy/6cvf0jeAD1I0vwQGUKhScAAKoIwaNqpFtOmtsKAQBASyF4AACAxBA8AABAYggeAAAgMS0ePMyd7vZd7hXDfYKg7PdTmCdYQk+UAABQozKDR9Tjd14FrCGh1I+95Q4eGgC8ijnwmGkJ9kPfa+y26yB4WMezMsMfAKDWZGnx0Io3+NhmOYJHblbw8JRsP7IGj1qnT8n4x9V9Yoa+FAAA5VZE8CjR6LRm/d78GZV/+tHRqPVFBo+Cth9ev1v8dZpWGO81u8VDO1Xyx5tIHQd/3wt+//Y+hOe3jo1Twu/VdO5U4sDUMqESAFBvCg4e6d4N7en6d6vy1Cb8fCvGiFYHrVjTlWBo3Y7MSrLI7edo8TBBIxQ8zHrNJQp97/52m/H+w8s6coWA0gcPNwSV/bISAKDuNeNSi1ZW3nT7XgG/5FsxZlT+4Yo4j4q52O0XETzMz7q9VLfXzr415/1HvL/U+7FblMrIBJmEtgUAqG+lCx7FVlylCh7FbL+UwaPoijsiePgSCCAmdOQdkgAAaJ7SBI+IefOWUfkHm/1NxZgreBS7fd12XKXvyDt4FLt9w19HjIhwVKqwoMeR0AEASFKJgofD/3bulWAwiGAq/fT8pvjf7K11NQ5LV8ymorTnN9PdRQrevscNNsFl7Nfc4r7P+ODhvWYtk3v7uqy9Dad4ISC8fTv8qJIEj6jjny0AAQBQAlmCBwAAQGkRPAAAQGIIHgAAIDEEDwAAkBiCBwAASAzBAwAAJIbgUUrmkVoeSQUAIE5M8Aj1MWH1nJnZeVduxSyThEC/IPn2ixHRoVdKiYKHvV/hPjwAAKhmEcEj2HNoWM0Ej1BIMJ1y5dM1ebbgUWKpDssAAKgR+QePyJ4u0z2XBnvb9Cr0bMuEKvBgOAm2uARDizutuUEms1JP90I6spezj4PSPZG623KPi/9a/DS7xcNdZ6M5Nul1+vseecwsBA8AQK2JvtSS6v47szLMq/VCl891eSZL8Mi+jVIEj1B370b6NRMIUvum27PmzdrikQ4vrvS+ptYZOjYpEa8TPAAAtSb7zaV+AMnjHg99Pf3tPY9lsrV4RGy3tHIHD7vCD/xccPBwf06twwoY2Y6ZIngAAGpN9uBhBL/xx4YIu1Ug9O294ODhK2MAyazUI0KC4V5GKXnwyHHMFMEDAFBrcgePUAVpvqWHg4CZx69w3Yo6HDyyLmP+HnP5RKcFKnqtzJt7qcWhFb21Xq3k/X0MVPiB9+YI/xxQaPDw5808ZorgAQCoNRHBw63Y7UsAwcrPnp4OJKbi9l/TmygDlWiuZRqdZdItHunX3RK1/WYHD0dgO9b+BrdvtUp47OnufmQeMzfU6OsxwcN7zZ0/eMyC2/emh/YBAIBqlMellvqTCgkAAKCkCB4RCB4AAJQHwQMAACSG4AEAABJD8AAAAIkpefAwj84GHiktNffR01I81VLZ3CdlkrnXJP30TfMkuc9hpXoPAIByigkebgXiP87pVySRnXyFlCp4xN/gWf7g4b4H63HW2A7DmitbZZlUJR7qIC2L8GdrHvuN6GOlufsc/D0rYJ2hvlmSFPydyfPxZ6//mvL+jgFAZYkIHqGK3Zwc3RNpsEIor5Z8siS595kteCTDVJihjsvimOPSsdGrVJ1979UojWWoMO3jX+jvgc6f1O9orLwCkH726YBSyOcAANUsM3ho0AidNP2KwP1/k/kGar6lpU6U7rfS9De+YGVqvhl704KVQnA5U8HoSdt6zS3e+qxp9noyT9rBCj1++9Hsii8gdGzS8znbc15vSm0n9I038J7c/bL3KVW892Dej/dauNK1p9mVW/SIurloyMzz27nDhAD9/HXdzntqHJY+znH7rK/rMqlv9nlUrqnjqset0Mo44vc3aeZY5Nrv0Htzfx+C/24AoBZlBo+ok733mlu5+CfHuCb6YKWfqkTcn6xlsjfxm0ouZlpwnSq4Tfs9xG8/nvs+vYrSriyzBQ9nPn87Znl7mdgKJbTfIRnHQN9XaPv+dkzF5U/Luk1LgZW0CTeTnWPYS0OWrl+PZ3A74X12j6U/j77f3EHHPa5OwCkqQOS3DfcYWZ+xlqK2l+aGBy25j336d8f9nXQDfR6fGQBUuYKDh13hh3922ZWpe1INnNydYiqmHJVeYcEjOH/671m2n0X0+3KE9jk9XyhAxAafsMKCR8a6rP0Jzpt9vSlFBQ93P9z3l1/wSO+zzp9f8DCfVVFBIL9tlJV+/jmOv3tcRprfT/d45fmZAUCVK+JSS3pKuJJxhYNHTCVQ4uBh1mcqQ2f7qfUWVwlFrl+F9jk9X6jSqPHgkZZ5fEsVPHQZ/X9GCM6pgPceCqTNbfFI033I8T5NOLGOldmfPPYbAKpc7M2lwROiexINViJxJ9fgiT++8tD5gpWUTSuwuAo7uB8+3W9nu84J3Z5WTOUVvX6HXTl4FZc7X6iys4JH9m+/2SuojPCl67IqR53ub6eo4JFnEHBFzZv5WimDhzt/vverePRzKVmAKFLoc1Lmswp8JsHPyP4sAaCWRQQPh1eput8E0xWFqcRTr8eFhnCl51Ye6eWsaYHthNYXmOYuE95+eBl3elTlaC9j71u0YGUZ5FYg7nrSI+pmCR6O4H4Htx+YZoWI9Pxa0u8pMC0UQgoPHt7286rwokJD+rW4fQ4ey6h1ZAouo+8l//Ch+5HvvKUU97n43Omhz8SE0vhlAKAWRQeP5qiEb5wogBvMokNklYloaQAAVJbSBA/7m1uWSweoVPm3kFSuWngPAFD7St/iAQAAEIPgAQAAEkPwAAAAiSF4AACAxBA8AABAYggeAAAgMQQPAACQGIIHAABIDMEDAAAkhuABAAASQ/AAAACJIXgAAIDEEDwAAEBiCB4AACAxBA8AAJAYggcAAEgMwQMAACSG4AEAABJD8AAAAImJCR4jpbFVK2nll14jvdfj6PyNzn+LN2VQB+kwaIr3U4xhjal9yjlvLpObpEPHJmnmWjxTpKmjdbzyOhbNP2YAAFSbiODhVqKNw7wf85JQ8PAUMm+skgYPW77HguABAKg/hQcPq9Uh/c3erUSbnEDgvt5BmiabCcbIXv78oZaKwLrS03T+9PYzK+jI4KFBIrWuPCp0L3g0pfbNW8asx16+0CAW3t9ga0h6v7MfMwAAalH0pZZUIAhV4BmVsk8rUWd+75KMBgP77+nK1qrEQ+uy5ys8eITm0f3P1ZrhBRV/O/Y+B7bvBZSs6woI7ouuK/L9m/msafnsMwAAVS77zaV+AIkMEbaIit8sE/y27xeteMPralbwSAUlq+QTPOx57J9T++9uK70v+bD3V99/sCUjve/h95X5PgEAqDXZg4ehFaJbeWZU+CmhSjMQPKIvIYTXZf9cVPDwgkLewsEjsA7db92m8/9ehbZC2PtbQPAouGUFAIDqkzt4aIXo339gWhaCIcAVFzzcijYyFOg8fkVrthG8x8P+e3ibGcHDbD864MQKVfTBSyLuNhoHNTnF3k6ckdLkz2feS3p/g+vV/bQvtaTniz1OAADUkIjg4VaO9mUL+1KDqSBT0/yKMz54OEuELrf481mvOwFgpB0mvCCi0zpo5e8tE9y2W1L7ZkJR+vVgMIlgbcOUcKVvpucfZtL7Fl4meDzDISS1fVo7AAB1II9LLXUqEJ4AAEApEDzC/JYTWiAAACg5ggcAAEgMwQMAACSG4AEAABJD8AAAAIkheKBCuY9b53wsGgBQVQgeZRfqxyTwtEyo/5NmCvb4WqxwPy6l279M2d4/wQMAahHBo8zCPaIGVWrwsPbJPF5crvBR2vcPAKh8BI8yiwse+nq6VcErfodloV5Y02HCrajTQ+l700Lzu6XYCj0cBtyWB7OdUDfz2lur/97cv2svs972/flCPcT68+f7/sPHLtB7rbUvI3t1cI5L/HIAgMpA8Ci3VMUb1f16Pt/47Xn071alGgoCZWnxcKTCU47gYYed6H3REGMfh+zv316/oYEktH0/rJggEwg7uY4rAKAlEDyS4gcQq+KMrXhTYcUv/jzZK+qWDh6BkJCi67PfS/HBI2Mb1v4E33v29QIAWg7BI1HWZQsjqoIM31Rpz5O9Qi1P8CjkUosVCjymJSI15k3zWjwIHgBQ/QgeidIKMVxBhi/BBMOJVraFtHhEVf6FCW7DbN8PG6Ylxptm/p7eXrbgkXrd3LsRDh7h95+Wsc7QpRY71BA8AKA6EDzKyg0R6csMmcHADRbe9MibK/WGzfyChx8G3GWLrXh1G/46nGJV9MpU9t769SbXXMEjsE+9mkItHtHvP/CaV/xQkd6+U0IhhOABAJWP4AEAABJD8AAAAIkheAAAgMQQPAAAQGIIHgAAIDF1EjzCfWMAAICWEBk8wo8zph9TjFP444vuNtLLmMckQ49u5i/X9gkeAABUgpwtHsH+EeIUFzw6dGz0+nRwlu/VKI1lCx4AAKASFBg8gh1ipVsQ3Io/PWpqfG+UPrNe7RxL1zHMCR3DrPBgdaClJRB8AtP8sJFl+4HOuKxYox1bmQ6twutSwfeZO3gBAIB8FBQ89O/pytutnN1pWvFb07Syz9F6YYYxn+ysQyv/Xlrp6/qiWi2sQGJ32R3gbj/Q82VqfBCXaWEJBw8rVNjvLRi2dN25gxQAAMitgOChwSCzu2u3srbCgRH+OZMbPOyQYAWPQNffWtzXM8JDSmh7GnzyCR5WOAq+F3vbWggeAACUQnmCR6hSj+IHjzR//fr/zMs4yQYPa10AAKBkIoPHyEF+heyGgKjLEW4F7U8LVtZaiYcr/qDMEJN+LbhNsy5/3eZ+jahQUMrgEX6fAACgVKJbPKxLHcEK2A0b/iWIcAhJXZrI0dqRPXg4fzUBw9+GPTqrH0T8bfmvxweP4PxuMaEmS/Ao/P0AAIB85LzUAgAAUCoEDwAAkBiCBwAASAzBAwAAJIbgAQAAEkPwAAAAiYkPHt4jtWXtzyL12G5U3xz1TfsS0Ud58z/+bv8n7iPA4UeV64f/+LTfDwwAoLLEBg89gZuB28rVh4X2taHrNuGD4JGW7kCtkI7MAvPW6zH13nejcywIHgBQmWKCh1Z+WnFFdfRVYgSPWPkHj4gO1OruW38wsBE8AKAyRQcPDQNWz5/lv9xC8IiSd/DQY+i1TJlLDc7fm+qs8jXv2/udJXgAQOWKDB6BsGFVamVB8IhVaPAYWa+Vb+h3iOABAJUrInjYNykmcLMiwSNW3sHDOXpmbJnUwHjpyw71wLR2BH5fvZI6HgCASpEZPCJaOMr6DZLgESsueOjr4SeBAp+Rucejfo9pWX9fAQDNkhE87GvlKdZoryVjAgffUKO4wcIuwRanqODhvGqNqFu/j9MqggcAVK7om0sBAADKgOABAAASQ/AAAACJIXgAAIDEEDwAAEBiCB4AACAxBA8AAJCYyOAR7keivJ2H6TboQCzM/wzy67lU2T3O1mM/HvRjAgDVIDZ4pMJGuXoWZVj8GMFRVvMNHoF56/CYasd3/u+s6QSvnOMLAQCKll/wYJC4FpF/8GBY/IBy/84CAIqWx6WWMjdbEzxi5R08rIrW/7Zfb8Pi2yK7/QcAVISWu9TiI3jEKjR41O2w+LY6HyAPACpd7uBh7jkoY6sHwSNW3sHDOXr1PCx+igkd3FgKAJWMFo8KFhc89HWGxQ8xv0eEDgCodC13j4epKOztOIXr8kbw+GsJfgZRwcN5tY4fJ7UfJU6XurzUBAAVLjJ4AAAAlAPBAwAAJIbgAQAAEkPwAAAAiSF4AACAxBA8AABAYmKDh+l2OvVoYnkezwxsg0dpA/xHavPrQEzV9+i0Sfy+AgCaLzJ4uCfxcndANVIaUwN5uX1Q0O+CYnTaZvNHPvZ+BABUjojg0TLdbWvFSfAIyj94MDqtjUHiAKByRQSPUCWWCN0mzeNheQcPbeFgdFpzvNxLLXXc2gMAFS4zeCTeTO+2sOR/L0P9KDR4MDqthxFqAaBixbR4JNX64N0QSbN4pMIutdjHsWUul1UOWtAAoFJF3lxqmqwTuDnPbIfQESsueJjjFvpGr6+lgka9f+Pn5lIAqFiRwUO5lZtfyvDt0bsBMlCoLIzgsdcSPP5RwcN51W31iJi/HgSOGb9HAFCxYoMHAABAqRE8AABAYggeAAAgMQQPAACQGIIHAABIDMEDAAAkhuABAAASExE87P4gtJS7Iypve/S9EOD3S5F/V/JeL7DmM6u/fjyCw+I7hY7pAKAixQQPK2yUuRdMrWA79GpMDXKGdHfn5tjkGTwC89bhsPgaPPIPaQCAlpI7eFgVYcn5XVtbo6siLf/gERUW62usFoIHAFSHPIJHIRVgIXQ73iUBgkekvI+7dfzqdVj84KWW+rvUBADVosWCR8alAYJHhkKDB8Pie8p8eRAAULwWutSi27BuBOSbaqT8A593PBkW35MZngEAlSFn8PCb7svaGkGLR6S44KGvh7/RB1o46vwbfyK/swCAosQED6sVIokTOMEjwA0Wdgm2BEUFj+DnVn8tR4Fjxu8SAFSsiOABAABQHgQPAACQGIIHAABIDMEDAAAkhuABAAASQ/AAAACJiQwewe6ny/d4YmA7jCYa4D8emn+PsfU9Om29P04MANUiNnjkX+EVy6koUoHGrTTqt6dNG6PTFkN/Z/3fHzoQA4DK1YLBI0grToJHUP7BQ4ObFTTqcHTaADqkA4CK1aKXWtK04qR5PCzv4GFVtP63/XobndZmjgGX7gCgIlVAi4d7aSHpFpZqUGjwYHRaByPTAkBFa+Hg4d0QybfTSIVdarGPY52OTmtCBy1nAFDJWjR4aMVK6IgXFzzMcQt9qw+0cNTjt35zQy2hAwAqXcvd4+HdAFn27VQhN1jYJVihRgUP59U6fpzUfpQ4Xer25loAqGCRwQMAAKAcCB4AACAxBA8AAJAYggcAAEgMwQMAACSG4AEAABJD8AAAAIkheAAAgMQQPAAAQGIIHgAAIDEEDwAAkBiCBwAASAzBAwAAJIbgAQAAEkPwAAAAiSF4AACAxBA8AABAYggeAAAgMQQPAACQGIIHAABIDMGjCk0Z1EFadWySKd7PAABUi5jgMVIaW7WSVn7pNdJ7PY7O3+j8t3hamXYYlKMqHdaY2qec8+YyuUk6lKryNvvVQZomuz+aYNCM4zGyVytpHOb9EIHgAQCoVhHBY4o0dcxe8WVKKHh4Cpk3VomDR4eOHbxj5hy/Xo3S2LF8wQMAgGpVePCwWh3S3+rd4NFkvunr6+lv/0or0siWisC60tOCFW9mqIkMHhokUuvKo9L3gkdTat+8Zcx67OVzBzF3f5qkUVuGnOUbB410lvGOQWC/wi017rrD08z7d9bnL5dexmqJCoWmkb2c7Q2KbhGKPf4AACQs+lJLKhCEKvCMStnnVYjeJRlzKcD6e7qysyrx0Lrs+QoPHqF5dP9ztWZ4gcDfjr3Pge3rfDnWpcvq/CN7afhyihM4TBCwwpdL33/6dd1OVBBwg4L3fqKOecQ+mWX816xlYo8/AAAtIPvNpX4AiQwRtoiK3ywT/EbvF634wuuyfy44eIRaTkzJJ3jY89g/p/bf3Vauijo1jxV40sHDC2WpYr8eChSeXO8/LnhkLhN//AEAaAnZg4ehlZhbWWZU+CmhyjEQPKK++Weuy/65qODhBYW8hSvvwDp0v72Ku1ewgo+SCh4W/z3o/4PrTTp4RB9/AABaQu7goZWc/y1dK+fIyjIueLiVcmQo0Hn8ytNsI3iPg/338DYzgofZfoEVbKjytrepTJjQ+zYC24kWrPRd/muB9Zrj5++nhoL4Sy2lCR5Zjj8AAC0gInhopRXfNG8qstQ0v0KMDx5+BZu5jPW6U4mOtMOEF0R0mrlp065EU+txS2rfTKWefj2qQg+wtmFKuHI20/MLM9mCR2A7vZpCLRDBY+3vc2zwCO+zFm+/48NK3PEHACB5eVxqqVOB8AQAAEqB4BHmt5yELmUAAIDmI3gAAIDEEDwAAEBiCB4AACAxBA8AAJAYggcqVHw/JwCA6kXwKLtQPxqBp2VC/Z80U1R/IoUL9i1S3n4/sr1/ggcA1CKCR5lpGIivPCs1eFj7ZB4vLlf4KO37BwBUPoJHmcUFD3093argFb/DslAvrOEeSZusHlzNtND8bim2Qg+HAbflwWxHe061Wmzsruvdv2svs972/flCva368+f7/sPHLtB7rbUvZlC+QfHLAQAqA8Gj3FIVb1T36/l847fn0b9blWooCJSlxcORCk85gocddqL3RUNMuMv4+Pdvr9/QQBLavt1lfDDs5DquAICWQPBIih9ArIoztuJNhRW/+PNkr6hbOngEQkKKrs9+L8UHj4xtWPsTfO/Z1wsAaDkEj0RZly2MqAoyfFOlPU/2CrU8waOQSy1WKPCYlojUmDfNa/EgeABA9SN4JEorxHAFGb4EEwwnWtkW0uIRVfkXJrgNs30/bJiWGG+a+Xt6e9mCR+p1c+9GOHiE339axjpDl1rsUEPwAIDqQPAoKzdEpC8zZAYDN1h40yNvrtQbNvMLHn4YcJcttuLVbfjrcIpV0StT2Xvr15tccwWPwD71agq1eES//8BrXvFDRXr7TgmFEIIHAFQ+ggcAAEgMwQMAACSG4AEAABJD8AAAAIkheAAAgMS0ePAwTzCEnpwAAAC1KSJ4uI9Tph6N9B6HTD+qWJjYxyw9ZQ8e1qOpWrLtiy/4aCYAACiV6ODR0QkLqT4VGqWxV4eyBY8k5bsvBA8AAMojM3hoC0fHJmnqpR0wTXH+3yQj/Qo70EFVuPUg2FmWP82t7K1RS1PdZ1sdVWV0UtUhdqRRuwOpfEKELRw8TGuLt66Mzqicffbfa6HbAQAA0aKDh4aDYY2m8m3UStf5e2blGxx3QyvrqArardz9+TRshLrI9oKOvaQJF/5rJuy4vVAGg0Owa/F8BJYPdb9t9tMLRYHtR+0zAAAoSnzwsCvcVPCwWilMsQNFdBfVmWEhv+CRDhT+uoMtKn4pNngE98th7Udw+5k/AwCA4mQJHhZtHXBeMy0BqWl2iEgqeISWLVBxwaP52wUAAK7M4OGFjAAreKQqa30t1eLhtkYEKnJP6YKHu66MfcthyqCmVCDK2H9ruzrNX3dg+7p/MaEKAAAUpqDg4VbC3mWOjJFGNSB405ziV/CxwcNel1+iKn4reLjL28vkEwis/Qq9LxM2/GnhEOK/zv0dAACUTGbwAAAAKBOCBwAASAzBAwAAJIbgAQAAEkPwAAAAiSF4AACAxBA8AABAYmKDh9+XRVSnYNXH68sj3D9JBSv8+Nt9nNRv3yOmkznnGKT7gQEAVJKI4OFWYHri1sqvJoLHMB1rZqTzvqqhB9Lijn9g3nrtbdV7343OsSB4AEBlynqppVaChxlmf7L7fqqpQsr/+Nu9uzpMd/b1VvkGAxvBAwAqUx0ED6dS9rtDj+oOvoLlffz1m773Hs2lBufvTXVW+drj+BA8AKBy1X7wCISNUMtAhSs0eIys18o3dGmJ4AEAlavmg4e+B/eGy3Splkop/+Mfvnk2fdmhHvg3lGaUKmrdAoB6UePBI7OFIzhabmWLO/5umAq+L30tFTTMPR7V07JTaoFjAQCoKJHBw63Y7FKlj2dqBWwNd29Y90NUqlzHPyp4OK+6rR7V/HmVCMEDACpX1hYPAACAUiJ4AACAxBA8AABAYggeAAAgMQQPAACQGIIHAABITM0Hj3DnUtXUh0dh+1vvo9PyODEAVIO6CB7pylsrp0qvlBidthj6Oft9d5iwWeF9tQBAvarD4FE9FXL+wSP0vupydFpLFXQSBwD1qu4utVRTZZx38LAqWv/bfr2NTmszx4BxWgCgInGppYIVGjzqdnRaW52PUwMAla7Ogkd1VciFXWppVbej06aY0MGNpQBQyWjxqGBxwUNfZ3TaEHNDLaEDACod93hUIDdY2CVYoUYFD+dVt9UjYv7aZz9KnC51eakJACpczQcPAABQOQgeAAAgMQQPAACQGIIHAABIDMEDAAAkhuABAAASQ/AAAACJiQkeNdYnhDdoWjX17+D35ZFfz6WqvofFD/bXQkdiAFCpIoOHnsT9ytmc0Kt5pM+q60abYfGbTT9zRqcFgIqU+1JLlQ8xXkjlXWny33dtobKChtfCU689d5qwzOi0AFCRcgaP6j6Ja+tB9Ta75x08GBbf0OPlXmqp49YeAKhw2YNH1Q82Vl2DwoUVGjwYFt9T9b+3AFC74oNH1d0bEaW6h4cv7FKL802/3ofFT6nuwAkAtSw6eNTQEOPm0kOVfvuNCx7uJYXgewq0cNT7N359/9xcCgAVKSJ42I9lpks1f3t2w0f1vBc3WNglGAKjgofzam09Al2gwDEjdABAxcp5cykAAECpEDwAAEBiCB4AACAxBA8AAJAYggcAAEgMwQMAACSm9oOH6dPCetSySvq38B8Pza8DMWU/Bl2PnWfV9+PEAFAt6iN4VNVYM+leRzV85Bs8AvPW4ei02leL3z+LP14NfXkAQOUheFSw/IOHftu3gobXylPNnb41S5WPqAwAtYxLLRUs7+DB6LQB5hhU7YjKAFDbaPGoYIUGD0andZigWV+XmQCgmhA8Klhhl1paWe+zTkenNaGDG0sBoJIRPCpYXPDQ18Pf6gMtHPX4rb+GRlQGgFrGPR4VyA0WdglWqFHBw3m1jh8nrb0RlQGgVtV+8AAAABWD4AEAABJD8AAAAIkheAAAgMQQPAAAQGIIHgAAIDEEDwAAkJiswcOMeVHV/SGE+3eonv4t/L488uu5VNX3sPj+72qqVGmncQBQ6+KDhze0eqPdI2bV0crYqoSronfLdHfnGj7yDR6Beb3Prp6qXg0e+Yc0AEBLiQkewcqvZoKHo5DKvKXlv68Mi0/wAIDqEBk87GHFay142O+t0uUdPLzRaXVO8/7qcFh8875Tl1rq71ITAFSLzOARaqYneLScQoMHw+J76nGQPACoEhnBI/jN0SpVebNePV1qsT+j9KWy+hS69AQAqBjxN5d6aqrFo8q+CccFD309/D4Cn1Odf+P3LzdVR7wEgPpSB8HDarWpksrYDRZ2yWy1yXwv9TwsfuiYEToAoGLlDB4AAAClQvAAAACJIXgAAIDEEDwAAEBiCB4AACAxBA8AAJAYggcAAEgMwQMAACSG4AEAABJD8AAAAIkheAAAgMQQPAAk5scff5SHHnpIbrrpJpk7d673KoB6QvAAqtCTTz4pa6yxRkbZYost5NNPP/XmqjyLFi2Sq6++Wrp16ybffvut9yqAekLwAKrQ0KFDZfnll5ebb77ZtCD4RQNJJbckEDwAEDyAKqTB469//atMnDjReyXthx9+kNdff920fPz888/mNQ0jo0ePls8//1x++eUXWbx4sbz//vvy4osvynPPPWemfffdd2ZepQFh+PDh8tlnn8mHH34ow4YNk1dffdWsZ8mSJTJ+/Hh54YUXZMyYMTJ//nxvKZHJkyfLa6+9Jl9//bWMGjXKzDNhwgSzPhUVPHQfp06daubXfdF1fv/992YagNpD8ACqkAaPv/zlLyY8aMXvl4ULF8rMmTPllFNOka5du5q/a1B48MEHZZdddpFnnnnGVPRffPGF7L///vL3v/9d9t13X9l2222lV69eMnv2bLP+6dOny8orryzHHnusHHPMMdK5c2dp06aNXHnllfLf//5XjjrqKNl7773NpZ077rjDLKNuuOEG2WqrraRHjx5y0EEHSbt27aR9+/by9NNPm/2ICh76Ho4++mjp2LGj2Ze2bdvKOeecI7NmzTLTAdQWggdQhTR4LLPMMrL77rtLp06dUqV79+5m+rvvvis77bSTXHHFFfLll1+aAHDxxRenLsNoi8KIESPk448/Ni0jGgzWXHNNs17lB4/NN9/ctIrofH369JFVVllFunTpYlpU/ve//8mpp54qG2ywgQkVSoPHn//8Z+nZs6d88MEH8t5778lxxx1nQoW2qISDh7a+aPjR4PHOO++YfdHWlXXWWUeamprMOgHUFoIHUIU0ICy33HIyYMAAuf/++1NF7/FQ2qpx1113yUorrSR77rmn7LHHHuYyS5hW/PPmzTMhQOc766yzzOt+8NAAofOoV155Rf70pz/J9ddfb35WjzzyiPzxj3804UZp8Fh11VXNJRqfhpr111/ftGyEg8dHH30kK664ojzxxBOmhUOLvn7wwQfLIYcckto2gNpB8ACqULZ7PHzaCqGBQwPKAw884L3q0gr+3HPPNS0LGiZWWGEF+e1vfyvHH3+8me4Hj3/961/mZ6X3dfghwaf3geiy48aNMz9r8Nhuu+3MJR6ftmToZZqnnnoqI3hoUFpqqaXMPup67KItK3rpCEBtIXgAVSif4KE3aa611lqy4YYbmpYMbdnwXXLJJeb+DG0V0ZtBNRzoPSB6b4byg8fAgQPNz8oPHhogfH7w0EsqSoOHrnfGjBnmZ/XGG2/IZpttZi6hhIPH888/b57Oufvuu80+2MW+ORZA7SB4AFUoV/CYMmWKuXfiyCOPNPNuvfXW5rLITz/9ZKbrzaLauuFfytCnUFq1alWS4KHz6BMqSoPDkCFDTPjRIBEOHtOmTTOXZnQ5f9+U7pfOC6D2EDyAKqRhQu+tuO++++Sll15KFX0s9quvvpLrrrtOdt11V/Mo7IIFC6R3797m5tNPPvnELK8/b7nllvLvf//bPPGi91Ro60gpgsfqq68uu+22m9m3O++8U3beeWc54YQTTItLOHhowLjssstkk002kauuusrcD6L7ozey6vIAag/BA6hCGjz03gi9P0Mfq/XLuuuuK/369TOPtN5zzz2pVgQNIHvttZep5PW+CQ0n+iSJhg0NILfeequ5p6IUwUODxu23324e0dUnZTRkaODxWzHs4KHmzJljtr/99tub0LLxxhubfdNLQABqD8EDQMlo8NDWDvrgABCH4AGgZAgeAHIheAAoGYIHgFwIHgBKRp+y0ZtcdSwYAIhC8AAAAIkheAAAgMQQPAAAQGIIHgAAIDEEDwAAkBiCBwAASAzBAwAAJIbgAQCoaDrOj450TCl98UeoThLBAwBQsXRQwxkzZsg333xDKUPRY/vDDz94RzsZBA8AQEXS0ZWnTp0qU6ZMMaMZU0pbZs6cKdOmTZNJkybJvHnzvKNefgQPAEBF0taOzz77TObPn28uCVBKX/Ryy9dffy1ffvml+TkJBA8AQEXSSwCff/65LFmyxHsF5aCtHUkeZ4IHAKAiETySkfRxJngAACpSPQaPuXPnypNPPmkuMSWF4AEAgKOSg4cGhFtvvVVOOOEE6datm1x00UXy3nvvyXfffScXXnihuWkzH08//bTcddddsmjRIvOzXvYYPny4uaG2uW6//XY588wz5eSTT5YPP/zQezUTwQMAAEclB48TTzxR/va3v8ljjz0mzz//vPTv318effRREzi22247+d///ufNmd0NN9wgZ5xxhnmvvlL1r6Gh47zzzpN27drJSy+95L2aieABAIAjXCFqVVzukg/dr1VXXVVGjRrlvZK24YYbytJLLy1/+MMfZN111zX9ZLzzzjuy5557yhprrCFt2rSR++67z4SLN954QzbYYANZZpllZLnlljPLakvHoYceKs8++6xZ3+zZs6Vnz56y5ppryvrrry8DBgwwjxmrSy+9VE466SQ58sgjZeWVV5b9999f3n//fTPN99FHH5n1ETwAAMjBrhB/+llk+GciT39S3vLDYm/jWWho6NSpk3Tv3t1U6BMmTDD9YmgrhbZ0bLXVVvL666+b0KDzauWv833xxRfy1FNPSatWrWT8+PHmfV1zzTWm9UQfZ9X5w8Hjqquukn322UfefPNNGTZsmGy00Uby4IMPmmkaPDS4aKvLp59+ai6pnHPOOebxYx/BAwCAPNkV4kKnTlz1eqfS6lveMnGWt/Ec9J6J888/X4444gjT4nD66aebFoyoSy1634beyzFw4EC58cYbTcvFP//5TzMtfKklHDy23HJLuf/++83f1SWXXCKdO3c2f9fgofeY6LIaeh5//HGzP1999ZWZrggeAADkya4QtcVj6ASRf79X3jLHvcczLz/++KMJCq+99pq55KGtIFHBQy+PHHTQQaZ1QwPHpptuakKDyhU81l57bRkxYoT5u9IbRtu2bWv+ruvo3bu36WhN6TK6rK7DR/AAACBP4QpR77f8ucylWA899JAJCRo8dthhh8BTJDvvvLM0NTXJggULzNMwm2yyiWm5UBpENHj4XZaHg8dOO+0kt912m/m7amxslMMOO8z8XYOHPkFD8AAAoASSrhDzpeGha9euMmTIkNS9F3vttZf06NFDpk+fLrvttpv8+9//NvuuN4LqvEcffbSMHj3a3IOx0korpYKHXkbRSyd6mUbvAQkHj7vvvlu23XZbcx/H4MGDzU2tOq/KFTzGjRtn1t+hQwe5+eab5dVXX009tmsjeJSINstpk9l3C5xfEuf/zUmyQL362fmzyPmzwPmj/9efgaRUavDQ/bn33nvluOOOk3333Ve6dOki//jHP8zNoYsXLzaV/YEHHmgur2i/HhMnTjT3YhxwwAFyyy23mEdc77zzTrMufepFbyDVyzQHH3yw+fnyyy83gUZpqNB7Q3TZQw45xNzH4dNwc8cdd5htKl2mb9++Zh3qtNNOkz322CNQNBiFETyaYYlzTvzoW5H7xotc/YrIGU5gPOkpkTOd/1872r0++Nl3TighhACxNFx86/wZL+NklLwkT8tT8oQ8bv6vP+vrOp0QgnKr1OBRawgeRZryvcilL4nsepfIiv8QWSp0p/KvLhdZub/IHkNE/uGEkOnpvloAeOY4f16SF2WwNEk/uUoukYvkYrkwVfRnfV2n63w6P1AuBI9kEDyKMPYrkbaDRZa9Ohg2oooGkj9cI7LXPfk/NgXUg+nyjdzhBIor5LJA2Igrl8ulZv7pzh+gHAgeySB4FECvmGjoWN4JEtqikQoYly6RhovmWeUHaeizwHn9p9Q8Szvzrz7AvfQC1LsZTni4Rq4MtHBctOQCOX/eOZnlh3Olz8+9zTw6/zVylbO8e00ZKCWCRzIIHgWY4HzRWvemUOjQ0nWoNCy1tDT8aV1p+EtraViljTSsuZM07HOzNFw4NxA+trrNvUwD1Cu9X+MmuSHjskqXoX+XpZZeSv607gqyYusVU2WNHVeXMz47NTWfLqfL63qAUiJ4JIPgkadZC0S6PS6yzJVW4PCLBo/f/kkaDntMGk56Wxp6jJKGvfo5r63gvPZoYN7fXCVy9vPOgf/RWzFQR/RJlSflCXNxxQ4dWjR4/PZPv5Wujx0sx73dI1VOeO846b3wvMC8urzegqrrA0qF4JEMgkeenvxIZO0b0wEiUDR4/P6v0tA4Mf3aJYud11aUhr2vD87rlE1vFXm1+SMQA1XnU5koN8r1gRDhFw0ev//r7+W0iSdHTg8XXc+nzh+gVAgeySB45GH+j24rhV4qCYcIU0zwcELGSWOl4YLvpKHX526Lx7JOGDludMb82mpyxSj3cVygXixx/gyTF+RS6RMZJDR4/G7F38nxY7vLud+dlS5zzoqcX9ej69P1AqVA8EgGwSMPk2eL7HNfMDwEigaPhqWkYenfSMOvf+sU5///9ztp6HKPNFyWvsHULkc+wiO2qE2zZs0yQ3JrV8uTJ09OnVz0Udj/yL2RIUKLBo+GpRpk6d8sLb/+7a9TZcWN/hw5v5b/yH08YouSqeTgoYOyaS+gOhKsFu0OXXsp1df17zoqbT50vBe/AzClo9Qec8wx8vzzzrfrZtDt2/tnbyOM4JEHfZJli4GZfXWkirnHQ+/neEwaTnxLGrq/KA27XSQNy60uDYc+7ISPXwLz63p2GfyTvDV5rul5jkKppaK9Jq6yyipOGG+Q1VZbzXTV/Pbbb8v/vvuf3Ca3RgYILeYejxX0Ho8uctxb3VPlpPePj5xfi67vG+cPUAqVHDzGjBkjhx9+uOkNVLtI155KdQTaqEHisgkPEqeBQcdt0UDSHNqLqY6a6/dYqr2sfvzxx97UIIJHHkZ94T4Ka4eHQIm6x0PDxnp7SUPrA93Ha635l+r7i/z14i/l0DOvMV3MUii1VLp37y7LLrusCR5LLbWU+f/qq68uZ1x7utzwS//IAKGl0Hs8tOh9Hl8KN0yhNCo1eGgo0BFiNcTr/n399ddmhFodG6V///6y5pprygUXXCCDBg0yrQ3aTfnQoUPl1ltvNd2c65cBpSFFWzd23XVX6devnxkMTseB0QCjrZNKt/Xyyy+bbtN1ZFrdhk/Dz8iRI838//rXv+SJJ54wXbSrd955R5566ikz/sunn35qzgMnn3yymRZG8MjDK07wWOOGdHDIKFHBQ8tW3aWh1a7ScM5Xgdc1eKxx5XQ567p7zC8NhVJL5bLLLpPll18+EDy22WYbuebuq+XGX6JvLNVSTPC4SQbIVCd6AKUQrhD1/qFy//nF9BCVnV620JFoNVjo5RXbjTfeKGuttZZcfPHFZlA3veyiLYxXXHGFad3o2bOnGd9FA4IGlm7dukm7du3k+uuvl7vuuitjkLjhw4fL3/72N+nTp4+cffbZpvXik08+MdN0kDj9t6zjs1x77bWm1UW3Gd4npful471EIXjk4d2vRbZuynGpJRw8tFOxlTaThg32kYaL5gfm1/W0H/KLfPCNe62NQqmlMnXqVDOipQaONm3ayD333GOuI09Z9IXcLoPkkogAoaXQ4KHruV1uoydTlIxdIeqfO5zfLw235SyznT/50Ap+3XXXNUPe64izo0aNMvupwUFHk50wYUKqIteB3ubMmWPuudDAseOOO5oWEL0fRAPH6aefLt9//70JDOHgsf/++5vQopdfdB69vKOXZpQGDx3ZVv896zZ0wDht2fj222CfOl999ZUJO/bw+jaCRx6++N75MB5IB4eMosFjmeWkocPV0nDAYGnYe4A0rLWLNPzuz9LQ5d7IZbRPkG/nexsAaoierE488UTTFKsnP99c589Q+U9kiNCiwWOZ5ZaRPa5uJ50H75sqB9yzv/ScdkbkMro+XS9QCuHgMUCuM131l7PMcv7kS/89Pfzww3L88ceb+6iuu+66yHs89HLHUUcdZYLKX/7yF/m///s/EyZU+B6PcPDQlpURI0aYvyu93KKXeZQGj/PPP9+0qqhnnnnGLKtBxKdB56yzzjLnAA0vUQgeeVjkHJs+I2M6D9PSbYR7ScUv6+whDW2OkYajn8u4sVSLjvHSfwyj1qK+/OT80YHe+solkSHi6BFHylq7rplR1u+0nhz/do+M+XU9uj5dL1AKdoWol0A0fPxY5j/5XGqJoq0J66+/fmTw0OHse/ToIe+++665d2OnnXYy94covQSSLXhstNFG5l4NnwYVvdyiNHhceOGFprVD6TK6rK5D6RNtOsS+3liqxzEOwSNPIz9zPpB/BQNEsWXr20Te+dpbMVBHpsgXcrPclBEiiim6Hl0fUCpJV4j50kuYGgb0KRGt3DVs6L1UeglF79vQFgm99KKBQC+n6D0cevPojBkzzM2geg+IHzw0sOgNpno5ROcPBw+9IVSLHgcNMxo6tGVFZQse2tKhN7jqz3qjqR5Lv2UkjOCRp3mLRXo9L/LbqzKDRCHl987yV41yW1GAeqPf8LTTr75yaWSYyLdoF+oXjrhAPvvS+UYAlEilBg+t6PXyxRFHHGFaM7Ry16JPl+hTKfo0WadOncwlGH2kXZ9k0cCg8+hy2iLiBw+98VTX0bVrVznppJMygscHH3xgHovVG0P1fo8TTjjBBBiVLXg88MAD8vvf/1622morOfjgg03R9UcheBRg6hyRNoOy9GCao+jgcu3vFpntfmZAXfrB+XObDDSDvUWFilzFjFA760rZ68C9zN33eiLVb3lAc1Vq8NDf75kzZ8qkSZNMK4S2fGirh9+BmE776KOPzOu67xoMdF59TVtE9J4PPzzo47J6A7i/Hv1Z79Hw78fQfj2++eYbs6w+zaItGT5dhz6q6/9702V0WV2H3mCqocUu/tMwYQSPAn3phA8ds+XXBYaPX1/hXmKZw5hWgMx3/ugIs3Hdp8cVnV+X0+X1xHvssceaPkL0jv1KqyxQfSo1eNQagkcRPpstcsjDIiteJ7JUlgCij81qK8cq14uc8KTIN3SRDqR87/x5WB6UfnJVztYPna7z6fx2F+n6jUtvlmvdurW5i16/xem3L6AYBI9kEDyKpMPkD37HCSAPiWz4r8x7P/TJFR2F9ujHRB54n5YOIMoC58+78o4TJx4wLRn6eKEdOPRnfV2n63w6f5g2+77yyivmWvNee+0l9913n3mkFygUwSMZBI9m0Mtc2orx8uci9zvh4obXRfq9KvLPN0SGTnCHvv82+qZeAB59nFDv+/hcJst4GSevyWgZJS+Z/+vP+rpOz/XYod6lr50j6TgWZ555prmODRSC4JEMgkcJ/fizyKKfGO4eaI6fnT8/yRLz/0LpTXUvvfSSdOzY0XTtrH8H8kXwSAbBA0DN0Xs/tC+C5ZZbTq6++mpzogNyIXgkg+ABoCbpvR8PPvigbL/99qbDJB22mwoF2RA8kkHwAFCztE+C9957z3Ss1KFDB2lqajIdLAFR6jF4aOugdgSm7zspBA8ANU87RNLQoaN4at8fOoYFEFbJwUMDgo4Gq+OsnHLKKWbQt/Hjx5sgrd2n683V+Xj++efl3nvvNSPXKu35VAd7K1Xw0GP35JNPmh5P4/aJ4AGgLuh4Fx9++KHpKlq7ddZOx/Q1wFfJwUOHstdu0fX3Viv2a6+9Vh599NHIQeKyCY9Oq/weUEvh/fffN12yr7jiirH7RPAAUFf0m54OeqXDivfp08d8kwRUpQYP3a9VV11VRo8e7b2SpsPYL7XUUmboe+3FV7s010HadKC4v/71r7LJJpuYe500WLz22mtmqPxf/epXZn4dPC48Vou2gOj4LiuvvLK0atVKbr755lQo0bFaTj31VDn88MNlhRVWMGO5aJj36b+liy66KDWAHcEDADzau+l///tf2XXXXc23yNdffz12JE3UD7tC/OXnn+WLV1+Vz0aOLGv5cf58b+vx9F6lPffc01y+0PCgY6DoJRYNBFrxawuevq7jqui8+tqIESPMkPiPPfaYCRgTJkww7+uaa64xvfz6I8qGg4eOaquPo+v6nnvuOTP0/iOPPGKmafBYb7315OGHHzb7oPtz7rnnmn87ui96CUdbZrTVg+ABABF0IKzGxkbT50f//v3NSbhUTc6oPnaFuGThQum/6qpyWUNDWcusiRO9rWenwUE7xtNLhTp6bK9evWTs2LGRl1r0fQwbNkzuuusuMwz+hhtuaFouVPhSSzh4aIjR3n99F198sey3337m7xo89EZtXVb/nTz++ONmxFwdiG7MmDFmPg0kGngIHgAQQ5uH9bq5tnzoCVi/6ek1b9Qfu0L82fkdeO/uu+WtQYPKWhYW0L2/ttRppT5q1Cjp0aOHqeijgoeGjIMOOkguv/xyc1lx4403Npc/VK7goZdutLXEd/vtt0vbtm3N3zV49O7dO3JYfA1Duh3dL73HY6WVVpIuXbqk1msjeACoexo0dBhv7XRss802M08P0PJRf8IVol5uKXcplt63oSFBg8cOO+wQuNdil112kYEDB5r3M2fOHNl0003lkksuMdNuuukmEzz8e5vCwUNbKjRs+Hr27GmmKw0eF154YWTwePXVV80lGb3hdZATqDbaaCMTgKKGxid4AIBHv1Heeuutsvzyy5sT6syZMwkgdSTpCjFfesOnth7oJZBx48bJyy+/bPqlOfroo83NpDvvvLOZpo+Na4g+8MADTad5b7/9tpxzzjnmJlM/eNxzzz3SuXNnsx5dNhw89PKMXm55+umnZciQIebpFL2MorIFDxuXWgCgQG+99ZZ5KkDLU089xZMvdaJSg4fujwYCvZyxxx57yD777CNXXnmluTlUHwnXgLD33nuby4WzZs0yrQwaSvQmUb20oveG6L0eSsOGBojdd99d9t13XxNW9EkUvcSoNFRoq4guq5dy9EZSn7aEaEuK/xi6LqPL6jps2n+H3guixzIKwQMAIsyYMcPcWKfho2/fvrEnUdSOSg0etYbgAQAxtKVDO2vSb4ZatGlZH1dEbSJ4JIPgAQBZ6DVzPUlqfwV6M592Vf19AU8ioHoQPJJB8ACAPOk4F9qbo968N2nSJO9V1AqCRzIIHgCQJ33CRR+71X4KtG8D7RWS1o/aQfBIhl7CJHgAQAH0Lv5//OMfsvXWW5txLXSUUO79qH7z5883LVkaQPQSG6W0RYOGPhGj/36++OIL81oSCB4AaoKeQF988UU57LDDTJ8K2qGTVlyoXloRTp061fRD8eWXX1LKULSlQ4+vdmyWFIIHgJqifRZot9Sbb765nH/++aazJ1Qv7UROLwVoxUgpfdFjq6E9yY75CB4Aao6eRHV8Cx2rQi+/cOMpUDkIHgBqljYjH3XUUWacCu3hUTsho8t1oGURPADUNG1GbmpqMvd9nHDCCfLmm28mdhMdgEwEDwA1T4PGG2+8YcaraN++vRnjQu8dAJA8ggeAuqCXWHR0Wx3tdoMNNjCXYMKjeAIoP4IHgLrz6aefSps2bWTTTTc1j+By3weQHIIHgLqkjxLqeC8aQK6//nqZNm2aNwVAORE8ANQt7RFz6NCh5sbTww8/XEaOHGluRgVQPgQPAHVNbzwdN26c9OzZ0/T50b9/f/PYLYDyIHgAgEMHl3v00Udl++23l0MPPVQ+/PBD7v0AyoDgAQAW7eV0v/32M8PtDx8+3HsVQKkQPAAgZPbs2XLZZZfJOuusY8Z7SXLkTqDWETwAIIIGjWeeeUb22Wcf6dy5szz11FPmZlQAzUPwAIAsPvvsM7n00ktl9913N//XTsgAFI/gAQA56NDh2uKx2267yR577CFjx471pgAoFMEDAPKkrR1du3aV5ZZbzox2u2TJEm8KgHwRPACgAPqI7W233Sabb765nHLKKfLBBx9w4ylQAIIHABRIg8aYMWNMfx+dOnUyvZ9y4ymQH4IHABRBWz50dNvrrrvO9Hja2NgoH3/8sTcVQByCBwA0w4IFC+S1116Tjh07yq677moeweXeDyAewQMASkAvtfTu3VtWXnllM9rtokWLvCkAbAQPACgRDRv/+c9/ZKuttpJDDjnE3HjKaLdAEMEDAEpI7/1455135Nhjj5XttttObr/9dpk+fbo3FQDBAwDK4LvvvpOmpiZp3769HH/88Wbo/Z9//tmbCtQvggcAlMmPP/4ob7zxhhx11FFmuH0ddh+odwQPACgjvfSiN55eccUVsuyyy8rpp59Onx+oawQPAEjIiBEjZJtttpG9995bXn75ZfMoLlBvCB4AkCDtdOzMM880o90OGDBAvv76a28KUB8IHgCQsO+//17uvfde2XPPPeWwww6T0aNHm0syQD0geABAC9AbTz/88EPzxEvr1q3ln//8J/d+oC4QPACgBemAc9rp2GqrrSbdunWTr776ypsC1CaCBwC0ML3M8tZbb8nf/vY3adeunbz44osyf/58bypQWwgeAFAh9MbTiy66SNq0aSN9+/aViRMncu8Hag7BAwAqiLZ0PPnkk9K5c2fZf//95dlnn2XAOdQUggcAVBht5Zg0aZJcfPHFsuWWW0q/fv249IKaQfAAgAqlT7488sgjst5665lHb7/55htvClC9CB4AUOH0sdt9991XNt54Y3nggQdMPyDc+4FqRfAAgCqgfXxce+21sssuu8hZZ50lEyZMYLRbVCWCBwBUCb30ouO9HH744bLPPvvIgw8+aPoBAaoJwQMAqoi2ckydOlWuvvpq2XDDDeWMM86Q6dOne1OBykfwAIAqpC0d2unYBhtsIG3btjV/B6oBwQMAqtjMmTPlhBNOMJ2ODR48WGbNmuVNASoTwQMAqtycOXOkqalJdt55ZznppJNM6wf3fqBSETwAoAbojadjxoyR7t27y4477miCyOzZs72pQOUgeABADZkxY4bceeedsvXWW8uJJ54on332mTcFqAwEDwCoMfrky3vvvSft27eXzTffXN58801vCtDyCB4AUKO0i/WePXvKWmutZTof08du6XQMLY3gAQA1TO/90G7W27VrJ4cccoi89NJLsmDBAm8qkDyCBwDUgQ8++EB69eole+yxhwwYMMCM9wK0BIIHANQBHVTuu+++k3vvvdc89fL3v/9dPvnkE28qkByCBwDUEb3HY9KkSdKxY0dZZZVVzGUY7vtAkggeAFCHtIOxfv36yUYbbSTnn3++TJ48mQCCRBA8AKBOLVmyRF544QXp3LmzHHTQQfLMM8/IokWLvKlAeRA8AKCOaSuH3utx8cUXyzbbbCOXXHKJTJkyxZsKlB7BAwAgc+fOleeff96M99KpUycZNWoU472gLAgeAABDn3zR0W5POeUUadWqlel6XfsBAUqJ4AEACJg/f74MGjRIWrdubYbc//zzz839IEApEDwAABn03o9XXnlFDjzwQHP55cEHHzT9gADNRfAAAMT6+uuv5brrrpPdd99dzj77bHMjql6SAYpF8AAAZKWP2I4YMcI8cqtjvgwfPtybAhSO4AEAyElbOWbMmCFnnXWWrLDCCtK3b1/6/EBRCB4AgLxpAHnkkUdkww03NC0g77zzjixevNibCuRG8AAAFEzv9ejWrZu0b99e7rjjDm48Rd4IHgCAomifHwMHDjQ3np544okybtw4bwoQj+ABACjawoUL5a233pKuXbvK1ltvLUOGDOHeD2RF8AAANIve96EB5Oabb5bVV19devXqZVpDgCgEDwBASWinYy+++KLstNNOZryXsWPHcuMpMhA8AAAlpTeennHGGdKmTRu56aabzGi3dDoGH8EDAFByc+bMkXvvvdc89XL44YfLyy+/zIBzMAgeAICy0FaOCRMmyJlnninbbbedeQJG7wVBfSN4AADK6ocffpDBgwfLOuusI4cddph8//333hTUI4IHACARb775prnxdPPNN5fnnnvODL+P+kPwAAAkRns47d27t+y4445y2WWXyaRJk8zTMKgfBA8AQKL0EdvHH39cDjzwQDn44INN6wdPvdQPggcAIHFLliyRiRMnynnnnSebbrqpXHrppdz7UScIHgCAFqPdq2uLR6tWrUynYx988IE3BbWK4AEAaHFTp041l110vJeHHnpI5s2b501BrSF4AAAqwqxZs6R///6mz4/zzz9fPvzwQ248rUEEDwBAxdBLL8OGDZMuXbqYXk8feOABWj9qDMEDAFBxvvzySxkwYIBstdVWcu6558q0adO8Kah2BA8AQEXSsV1GjRplOh3beeedzaUXVD+CBwCgounott26dZPVV19d7rjjDvPYLf1+VC+CBwCg4i1YsMAMMrfDDjtIjx495O233zYdkaH6EDwAAFVDx3s54YQTpGPHjqb1QwegQ3UheAAAqoZeYpk+fbrccsst0rZtW3MJRm9ERfUgeAAAqo7eePree++ZG0/XX399efbZZ7nvo0oQPAAAVUv7/dDxXtZbbz256qqr5JtvviGAVDiCBwCgqmnrx6OPPmo6HDv66KPllVdeMYPQoTIRPAAAVe+nn36ScePGSWNjo7n34/rrrzf3gqDyEDwAADXj22+/lQcffFC23XZbOfTQQ2Xs2LFceqkwBA8AQE3R1o/PP/9cjjzySGndurU8/PDDXHqpIAQPAEBNmjt3rlx77bWyzjrrmNFuZ86cyWi3FYDgAQCoWdr68cwzz0iHDh1kzz33lOeee84EErQcggcAoOZNnjxZ+vTpI7vttpv07dvXjP/CvR8tg+ABAKgL2r36E088Ifvss4907txZ3njjDW8KkkTwAADUDf/G0+OPP15WXnllufnmm81rSA7BAwBQd/QmUx1kbo011pBjjjlGPvnkEwJIQggeAIC69e6778pBBx0ke++9t+n/Y968ed4UlAvBAwBQt/QG02nTpkm/fv1k1113lXPOOUcmTpzoTUU5EDwAAHVPbzx98cUXpVOnTiaAPPbYY3Q6ViYEDwAAHNr6MXv2bLnssstkrbXWMo/d6s8oLYIHAAAWvcn0qaeeki222EK6dOkiH3/8Ma0fJUTwAAAgRFs/xo8fL8cee6xstdVWMmTIEEa7LRGCBwAAMXS021tuuUV22mknOfHEE+Xtt99OPXb76quvmtYQFIbgAQBAFho0tJfT4447ztx4ev/995sAsvHGG5swku0R3B/nz5evxo6V9x94QN65804Z7yz75euvy6I6Hi+G4AEAQA566UVbP66//noz2u0qq6wiv/rVr2Tdddc194OEff/FF/LipZfKjWuvLdf++c9yzQorpMq1f/qTDFhzTXn+rLPk208+qbsxYwgeAADkafHixXLSSSfJr3/9a2loaDClW7duJpSY6T/8YFo1bnTCSV8nmFzmTI8rOr2/E2DeGjhQFn3/vVm+HhA8AADI00svvSQbbbSRCRxLLbWU+b+2fjzyyCMyb8YMGX7BBXLlb38rfZ1pUWEjozjz9V16aXnKCTNzp03ztlLbCB4AAOTpzTfflMbGRtlvv/2kbdu2suaaa8oyyywjBx9wgDx0/PEmRGiY0FBxplP2dEo7p+zh/X1/p/RwysVOCYeQx7p1k/ley0ktI3gAAJAnHVxOOxXTEW71cdtXXnnF3ONxc/fucsUf/hAIEsc45bdO2cIpbZ2ynVNaO2Vlp2zvlHOcYs9/1bLLyivXXCO/1PhgdQQPAACaQW8QHbzzzqmWDr/4weN4p1zklAudcr5TDnPKb5yi4eMSp6SWcZYftNVWMu3tt7011yaCBwAAxfrlFxl7++1y7V/+EggdWvzgcbL1ml/08stKTjnBek3Llb/7nbz6j3/ILz//7G2g9hA8AAAo0qI5c+Spk08OhAe/ZAsepzrlD045yHrNLw8ddpjM+/prbwu1h+ABAECRvps0Se7t1CnjMouWbMFD7+9Yzin7Wq+Z4qznjrZtZfr773tbqD0EDwAAivTNe+9J07bbli54OEU7HZsyerS3hdpD8AAAoEjaHfrALbYoOHic5BQNHgdbr/nl+tVWk89HjfK2UHsIHgAAFEkvidzetm1BwUP78NjBKas55RTvNbv8c4MNZOrrr3tbqD0EDwAAijR36lQZ2qVLRnjQ4gePo51yllN6OkVDSEenLOuUDk4JPE6rxQkwQ/bc0zyiW6sIHgAAFGnJwoUyvHdvufzXvw4GCKf4wWNdp2zilI2dsr5T1nPK35xygVPCy2hX6/89+WRZWMNjtxA8AABoho+fesrcEBoOEec65QinaIdhWvTv3Z1yhlMyWjq8ooPGjbvnnpoesZbgAQBAM2hfHkMPOiiy1aOgstRScveee9Z0Hx6K4AEAQJ50WHwdAv/jjz+Wxx9/XK6++mrZe++9pXunTnLln/8cHSjyLNettJJ8+sIL3pZqF8EDAIA8/fe//5UNN9wwNSS+lqWXXlpOOukkGXPbbTJgjTUiQ0WuoqFjzPXX1/QlFh/BAwCAPH3wwQeyyy67BILH5ptvLm+99ZYJDe8PHWp6HjWXXZx5okJGqjjT+/7qVzKwTRt52wktP9f4qLQ+ggcAAHn69NNPpUOHDqng8fvf/14uvfRSWbBggZmu4UE7FXv+nHOk/6qruuFi6aUDgUPDhr7+j7/8Rf57yimml9Kff/zRLF8PCB4AAOTw888/y5gxY2S33XaTPfbYQ0444QQTPLbeemsZP368N5fnl1/kxx9+kFlOSHnj5pvloUMPlZs33FCuW3lluWnddeWBv/9dRl93ncz88ENZPHduXVxesRE8AADIYv78+XLHHXfIWmutJaeeeqp88803smTJEnNT6TXXXOPNhXwRPAAAiLBo0SIZO3asHHXUUbLlllvK7bffbkKIT1tBtKAwBA8AAEJmzZolTU1N0q5dOznuuONSN4+i+QgeAABYJk+eLMcff7wJHbfddpvMnDnTm4JSIHgAAODQFo1nn31WWrduLfvss49p5dAOw1BaBA8AQF3T+zS0N9I+ffrIiiuuKOedd17gXg6UFsEDAFC3tEXjpZdekkMPPVR233130zMpyovgAQCoS3rvxoABA8y9HGeeeaZ8+OGHPKWSAIIHAKCu6L0cr7/+unTp0kW23357uf/++82lFiSD4AEAqBsLFy6Uu+66y9xAevTRR8vnn39uOgNDcggeAICap60cM2bMkLPOOktatWolt9xyC0+stBCCBwCgps2bN0+GDRtmBnfTbs6HDx9OK0cLIngAAGqStnJMmjRJ+vbtK9tss41ceOGF5me0LIIHAKDm/PTTT+Yx2f33398UfUzWH7oeLYvgAQCoKfpI7E033SQbbLCB9OzZ07Ry8Jhs5SB4AABqgrZyfPHFF3LAAQfIyiuvLP/+97+5l6MCETwAAFVv9uzZMnToUNltt91kv/32k/Hjx3tTUGkIHgCAqvbJJ5/IueeeK+3bt5drr73WDGmPykXwAABUJb208sgjj5guzw866CDzmCyDu1U+ggcAoOpoq8b5558vq6++ulx22WUyffp0biCtEgQPAEDV0FYOvX9j3333lY033lhefvllbwqqBcEDAFAVdCC3e+65R3bYYQfp3r27ubdDOwlDdSF4AAAqmrZyvPHGG3LiiSea0HHrrbcymmwVI3gAACqWjrOio8nusssu0qNHDxNAfvzxR28qqhHBAwBQkbRvjtNOO0022WQTGThwIK0cNYLgAQCoKNrb6LvvvitbbLGFbLvttvLqq69yL0cNIXgAACqCPg47depU6d+/v3li5eSTTzY/o7YQPAAALU5bOfTR2KOOOko6deok9913H/dy1CiCBwCgRS1cuFBuuOEGcwNpY2OjjBs3zjzJgtpE8AAAtBgdsv7AAw+U9ddfX4YMGWJuKOV+jtpG8AAAJG7x4sXy1FNPmXs5tKVDh7NHfSB4AAASNXnyZLn88stlm222MeOszJ0715uCekDwAAAkQu/leOaZZ8ylFR1r5cknn5QFCxZ4U1EvCB4AgLKbNm2aad3Qvjkuvvhi+eijjxhNtk4RPAAAZaM3iupTKp07d5a2bdvKsGHD5IcffvCmoh4RPAAAZaH9cDz22GPSqlUrOeyww7iBFAbBAwBQUtoZmF5KOf3006V169amJ9I5c+Z4U1HvCB4AgJLRgPHAAw9Ix44d5ZBDDpEXX3yRezkQQPAAAJTEV199JWeffbbstttuct1115kbSoEwggcAoNnGjBkj2223nbRv315GjBjBY7KIRfAAABRFn1jRJ1T0Ho4//vGP0r17d9PlOZANwQMAUDC9gfTtt9+WHj16mJaOe++9lzFWkBeCBwCgIHoD6R133CF77bWXaeUYO3YsN5AibwQPAEDexo8fb1o5dJyVgQMHmhtKaelAIQgeAICctDOwRx55RLbeemvZf//95f3335dFixZ5U4H8ETwAAFnNmzfPjCa76qqrypVXXmkGewOKRfAAAETSgPHmm2+aFo6ddtrJdH++ePFibypQHIIHACDD1KlT5YYbbjD3cpx22mnywQcfeFOA5iF4AABS9OmUt956S4488kjT7fl9990nc+fO9aYCzUfwAAAY+nTK3XffLZtvvrkcd9xx5gbSn376yZsKlAbBAwDqnAaOb7/9Vo499lhZfvnlzSUWnlhBuRA8AKCOaZfnzzzzjHTo0EF23313GT16tDcFKA+CBwDUqSlTpsgVV1wh7dq1kwsvvFC+/vprbwpQPgQPAKgzemll2LBh0rlzZ+nUqZN5TJYbSJEUggcA1BENGNdcc42svfba0tjYKJ9//rkZ8A1ICsEDAOqAtnJ89tlncsghh8iaa64pTz75pDcFSBbBAwBqnI4mq0Fjl112kS5dusi4ceMY2A0thuABADVKOwPTvjjOOeccM7hbv379zGiyQEsieABADVqwYIEZTXbPPfeUrl27yogRI+ibAxWB4AEANUZHk+3Tp49suummppVj2rRp3hSg5RE8AKBG6H0bkydPlh133FE22mgjefbZZ83lFqCSEDwAoMpp4JgxY4bccccd0rp1azn00ENl4sSJ3lSgshA8AKCK6SBuY8eOlZNPPln22GMPueWWW2ThwoXeVKDyEDwAoEppx1933XWXtG/fXnr06CFjxoxhNFlUPIIHAFQhvWG0e/fust5668lNN91kLrVwPweqAcEDAKqIhotXXnlF2rRpY55a+fDDD70pQHUgeABAldDRY2+88UbZaqutpGfPnvLdd995U4DqQfAAgAr3448/yqhRo+Too482N5Dee++9pq8OoBoRPACggs2cOVNuuOEG0+X56aefLu+88w6jyaKqETwAoAJp3xyffPKJHHHEEbLNNtvIQw89JLNnz/amAtWL4AEAFUZDx8svv2yeWPnb3/5mAghQKwgeAFAhtA+OL774woyzsu6665r/f/vtt95UoDYQPACgAsyfP1+efvppOeCAA6RTp07yxBNPcC8HahLBAwBa2KxZs+Tyyy+X3Xff3bRyfPrpp94UoPYQPACgBb3//vvSoUMH2XnnneWxxx6TuXPnelOA2kTwAIAWoJdR7rzzTll++eVlv/32k+nTp3tTgNpG8ACABGmX59rN+RlnnCGbb765/Otf/2KMFdQVggcAJGTBggXy8MMPS+fOnaVr166mN1JGk0W9IXgAQAImTZokZ511lumB9JprrpHJkyeb/jqAekPwAIAy0haNF154wTyxouOsjB492jw6C9QrggcAlMnixYvln//8p6y88srSq1cv+eGHH7wpQP0ieABAielosnoD6VFHHSVbbrml3H333bJw4UJvKlDfCB4AUEIzZsyQwYMHyw477GCGsX/zzTe5lwOwEDwAoAQ0XEyYMEFOPvlkadeunQwcOJBxVoAIBA8AKIEnn3xStt9+eznssMPktddeM5dbAGQieABAM+i9G2effbb87ne/k4svvljmzZvnTQEQheABAEXQwPHKK6/Ivvvua/rmeOaZZ7iXA8gDwQMACqTjqtx4443mXo7TTz/ddAYGID8EDwAowOuvvy6HH3646QxsyJAh8t1333lTAOSD4AEAedBxVvRJldatW8uxxx5rnmDRDsIAFIbgAQA5fPPNN3LCCSfISiutJP/+978ZTRZoBoIHAMTQVo6XX35ZOnToIHvttZeMGTOG0AE0E8EDAEL06ZRPP/1UrrzyStPlee/evbmBFCgRggcAWPS+jeeff14OOOAA6dSpkzz22GMM7gaUEMEDADx6aeX66683rRwXXHCBTJw4kb45gBIjeACAQ8dV0RaOVq1aydChQ3liBSgTggeAuqWtGXPmzJGHH35YNttsM9l7771l3Lhx3lQA5UDwAFCX9OmU//3vf3LeeefJrrvuKldddZXMnTvXmwqgXAgeAOqOho5HH31UOnfuLIceeqi88MILjCYLJITgAaCu6L0cvXr1kg022ED69u0rU6ZMkZ9++smbCqDcCB4A6sa7774ru+yyi6y99tp0Bga0EIIHgJqnA7lpV+fbbLONdOvWzXSBDqBlEDwA1Cy9hDJ27Fg57bTTZKeddpJbb71Vvv/+e28qgJZA8ABQkzRgDB482ASOY445RkaPHk3fHEAFIHgAqDlffPGFnHLKKdKmTRu5/fbbZfr06d4UAC2N4AGgpugNpBo4dtttN3nnnXe4gRSoMAQPAFVPw4W2agwYMMB0eX766afLV1995U0FUEkIHgCq2sKFC+Xll1+Www8/3LRy3HPPPbJo0SJvKoBKQ/AAULW0i/Mbb7xR9thjDznzzDNl/Pjx3hQAlYrgAaAqffbZZ9KlSxfZYYcdZMiQITJr1iyGsAeqAMEDQFXRcKHjrKy66qqy++67y8SJE7mBFKgiBA8AVUHDhT4m26dPH2ndurUZZ4WB3YDqQ/AAUPG046/nnntOunbtKvvss48888wzsmTJEm8qgGpC8ABQ0aZNm2ZaN7bddlvp3bu3fPTRR1xaAaoYwQNARdJwoSPIdu7c2dxAqq0cjLMCVD+CB4CKo/duaH8c2hlYjx49ZObMmTyxAtQIggeAiqGjyU6ZMsX0PKo3kN58883yww8/eFMB1AKCB4CKMHv2bHn44YdN76P777+/vPjiiyaIAKgtBA8ALUovoUyaNEnOO+882XXXXaVfv37mhlIAtYngAaBF6Tgr7du3lwMOOECGDx9uxl4BULsIHgBahN5Aes0118gf//hHOeOMM8zostxACtQ+ggeARGngeO+99+SQQw6RDTfcUP7zn/8QOIA6QvAAkBi9gfTOO++UvfbaS4455hj54IMPvCkA6gXBA0AiJkyYICeddJJ5akUfk9VLKwDqD8EDQFnpOCv333+/bLPNNnLggQfKG2+8IQsWLPCmAqg3BA8AZTNr1izzmKwOYd+/f3/zxAr3cwD1rWaCh57L5iwS+WCGyE2vixzxiMjmA0XWuUlkq9tEuj0ucttYkYmzROYtdub3lgOQ9ovzZ7EskpnOnzfkdXlYHpRb5J8yQK4z/9ef9XWdrvPp/FG0lePdd9+V/fbbT9q2bSvDhg2jMzAARk0EjyU/i4z5UuSMZ0VWud55U31Flr7c/b9f9OelnP+vdYPI+cNE3v1a5CfSB5Dys/Nnqnwpz8rT8g/pJxfLhXKJXGT+7xf/5+uc6Tqfzq/L2aZOnSq33HKLbLnllnLqqafK//73P1o5AKRUffD42Tmf3THWbdUIh4248n9XiOw0WOSRD72VAHVOWy7ek3dlkNwql0qfQNiIKzqfzq/L6fJLliyR0aNHy1FHHSXt2rWTIUOGmKdYAMBW1cFDv0TpZZW/XpcZLvIpa9wgMnSCtzKgjr0tb8m1ck1kwMhVdLnXFo+RwYMHy/bbby+nnXaajB8/3gxrDwBhVR08RnyWJXT0mS8NO/aUhr9sJA3Hj4mexymrDRB5n6f6UMe+lClOeLg6MlRc9NMFctTwI2TD/TeQ5dZYTv6w2h9kg/02kEOf6ioXLbkgNd8F350rOx7cVgYOHCjz5s3z1gwAmao2eHzjnNv2use9byMqUDSc85U0rLq1NCy/hjR0ukkaLvkxcr5fXyHS9SGRuYu9FQN1ZL7z5165O+NeDi0aLPa6fk9ZduVlZbPDN5H9Bu8rB967v2xz8tayxo6ry2FPH5Ke/5cL5a4ld5r1AUA2VRk89BLLvePSN5JGlkMfloa120nD7hdLw8YHSUPv2dHzOUWffHn6E2/lQB2ZIO/LdXJtIHD45agRR8hv//Rb6fCP9tJ74Xmp1/v83FtO/egkOW3iyYH5+zvr+cBZHwBkU5XB4/uFIqc8LbJUtptJWx8gDbucLw0nviUNa+4kDSePjZ7PKXqz6YUjRBYu8TYA1BC96VPvufjqq6+8V1yLnT/PyNORrR1aWh+0kfyl9Ypyzre9IqeHy6XOevRJF10vAMSpyuDxyawcl1l6TpKG5VaThu4vScPFC6Vh00OkYbeLouf1ysEPikyb620AqCHaiZc+ZdKhQwe56667Ur2Gzpbv5B4ZEhkiei86T/7Y6o+yySEbR06PK3rZZrbzBwDiVGXweH2qyAY3Z4aHVOlwpTSsvHn6vo79m6RhxfWl4dKfMud1irac7DiYm0xRm3RMlNVWW02WWmop+c1vfiObbbaZPPnkkzL15y9Np2BRAeLsb3uaezu2O33byOlx5Ra5Wb5y/gBAnKoMHqO+cJ9GiQoRDX0WSMNKm0nDpodKw7HD3XLgXdLwmz9Kw5FPRy/T9xdZ9pxPZIu9j5Udd9yRQqmpsu2228oyyywjDQ0NqfKrX/1KdjlsFxnwS//IAKH3dCy/xnKy2ZGbRU6PKzfI9eYpGQCIU5XBY7RzXlv7xnB48Moxz0vDsiu593XY5U/rOGGkqzRc9nPGMnrJZt1+s6TvoMdNXwQUSi2VG264QVZYYQXT4qFlzTXXNIO1XTPkavmnExWiAoSW9f+2rqy0+V/lvDlnR06PKv+UG2WaTPX+pQJApqoMHnpJZIc7Iu7x0FDR9kxpaLWbNJzxUbDo5Ra97+PMicFlnKLr6XSfyGffeRsAaoheallrrbVk9dVXl+OOO04ee+wx+f777814K4Pl9sgAoaXrY13MUy373tZJLlx8fup1farljM9Pk8YvTgvMr0XXp+sFgDhVGTy+midy6MPB8GBKz8+kYa2dpWHv/pnTen/vBI9VpGGfmzOnOeXk/4p8v8jbAFBD9GbSoUOHyvDhw+Xbb79NjZuifW48Ig9lhAe/6OWWnS/cSVZYdwXZ/szt5OCHDpJDn+gqu126i2y43wZyxHOHZSyj66MvDwDZVGXw0PFZ+r0q8purQgGi61Bp+ONa0nDGx8HX/bJJF2lovb97H4j1+or/ELl9LCPWonZp9+Xhgdp0fJXXZLRcIZdlBAi/XDD/XDn44YNk7fatZNmVfi+//+vvZd291pGDHjgw0LeHFl2Pri9uxFoAUFUZPNSb09yB4WIfqc2z6BMtu9wp8sm33oqBOvKNfG0GerMDRDFF+wLR9ej6ACCbqg0eOhT+VaNElr06M0wUUla4VuS2t2ntQH3S1onR8mrWVo98ypXSV8Y466G1A0AuVRs81IwfRI56NDNM5Fu0teTM50Tm0dEi6thCWSCPy2ORgSLfosvregAgl6oOHmrqXJEeT4j86vL8L7vo5RXtJv3cYSLfcq4EZJ7z57/ypLlkEteFerj48+pyujwA5KPqg4eau0jkptfdm0Szjt/iFA0oa9wgMuQ9kfk/eisAYMZYeVPeMEPk5wofOl3n0/kZmwVAIWoieCh90mXCDJHTnhZZ9yaRlfq7QeRP17r/15/Xv1nkguEin87ing4git6jMcP5o4PH3SD9pZ9c5cSLK5z/XmH+rz/r6zpd5+OeDgCFqpngYZsxX+Tlz91WDb1x9J5xImOmiMzmsgqQN+2P43Pnz7vyjrwlb5j/68/00wGgOWoyeAAAgMrU8MknnwiFQqFQKBRKEoUWDwAAkBCR/weybwG8XtPqxAAAAABJRU5ErkJggg==)![A screenshot of a computer

Description automatically generated](data:image/png;base64,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)

![A screenshot of a computer

Description automatically generated](data:image/png;base64,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)

Figura 3‑18. Ejemplo de Resultados para ProductionBalance()

Fuente: Elaboración propia.

## Problema de Control básico de una Estación con Física de Planta

En este problema se considera una línea de producción tipo flujo con el fin de analizar el impacto de las tasas de producción, los tiempos de espera, y la utilización de las estaciones de trabajo mediante la Física de Planta. Para esto se desarrolló una clase llamada ProductionLine.

### Estructura de la clase ProductionLine

Como argumentos de entrada esta clase tiene los establecidos en la Tabla 3‑12, indicando el tipo de obligatorio u opcional, la descripción y un ejemplo de ingreso. Cabe resaltar que un problema sencillo solo requiere dos argumentos obligatorios (M, p,).

Tabla 3‑12. Argumentos de entrada para ProductionLine

| **Parámetro** | **Tipo** | **Descripción** | **Ejemplo** |
| --- | --- | --- | --- |
| M   | Obligatorio | Lista de Trabajos | M=\['A','B','C','D','E'\] |
| p   | Obligatorio | Tiempos de Procesamiento | p={'A':4,'B':2,'C':3,'D':5,'E':2} |
| m   | Opcional, default 1 | Número de máquinas por estación. | M={'A':1,'B':1,'C':2,'D':1,'E':1} |
| name | Opcional, default None | Si es Verdadero (True), presenta el detalle del programa para la solución, default False | True |

Fuente: Elaboración propia.

Los principales métodos para obtener una solución del problema y para calcular el desempeño son presentados en la Tabla 3‑10 indicando la función, los argumentos de entrada, la descripción y la salida generada. Los métodos describen los planteamientos de (Hopp & Spearman, 2011) para el cálculo de las medidas de desempeño Throughput (TH) y Cycle Time (CT) para dado un nivel de trabajo en proceso (w). El mejor caso (best) hace referencia a una línea sin variabilidad, es decir tiempos determinísticos. El peor caso (worst) representa el caso de máxima variabilidad en el cual se tiene el menor desempeño posible. El PWC (Practical Worst Case) o peor desempeño practico es un intermedio de los dos anteriores, asumiendo aleatoriedad máxima con tiempos distribuidos de manera exponencial. Los métodos df_scenarios, plot_scenarios_CT y plot_scenarios_TH se emplean para calcular los valores dado un nivel de WIP en w, y visualizar el desempeño para comparar un proceso.

Tabla 3‑13. Principales métodos para una solución de ProductionLine

| **Función** | **Argumentos de entrada** | **Descripción** | **Salida** |
| --- | --- | --- | --- |
| init() | All | Define los argumentos de entrada, y solicita la información relevante a:<br><br>M: Conjunto de maquinas<br><br>p: tiempos de procesamiento<br><br>También calcula el desempeño de:<br><br>: tasa cuello de botella<br><br>: tiempo de ciclo crítico<br><br>: trabajo en proceso crítico | Problema de línea de producción |
| CT_best() | w: nivel de trabajo en proceso | Calcula el mínimo tiempo de ciclo dado un valor de w. Es el caso de una línea sin variabilidad. | if<br><br>else |
| TH_best() | w: nivel de trabajo en proceso | Calcula el máximo throughput dado un valor de w. Es el caso de una línea sin variabilidad | if<br><br>else |
| CT_worst() | w: nivel de trabajo en proceso | Calcula el peor tiempo de ciclo dado un valor de w. Es el caso de una línea con máxima variabilidad. |     |
| TH_worst() | w: nivel de trabajo en proceso | Calcula el mínimo throughput dado un valor de w. Es el caso de una línea con máxima variabilidad |     |
| CT_PWC() | w: nivel de trabajo en proceso | Calcula el peor tiempo de ciclo dado un valor de w en el caso práctico con peor desempeño (Practical Worst-Case Performance). Es el caso de una línea máxima aleatoriedad, asumiendo distribuciones de tipo exponencial para los tiempos. |     |
| TH_PWC() | w: nivel de trabajo en proceso | Calcula el peor throughput dado un valor de w en el caso práctico con peor desempeño (Practical Worst-Case Performance). Es el caso de una línea con máxima aleatoriedad, asumiendo distribuciones de tipo exponencial para los tiempos. |     |
| df_scenarios() | ProductionLine: objeto que representa la línea de producción<br><br>max_wip: máximo valor de WIP para calcular | Realiza los cálculos de CT y TH para los métodos descritos en esta tabla | DataFrame con los resultados. |
| plot_scenarios_TH() | ProductionLine: objeto que representa la línea de producción<br><br>df: data frame del método df_scnearios()<br><br>max_wip: máximo valor de WIP para calcular | Realiza el gráfico de desempeño de la línea de producción de manera teórica con el cual se puede evaluar el desempeño de una línea de producción | Gráfico de TH en función de WIP para el caso: TH_best, TH_worst, y TH_PWC. |
| plot_scenarios_CT() | ProductionLine: objeto que representa la línea de producción<br><br>df: data frame del método df_scnearios()<br><br>max_wip: máximo valor de WIP para calcular | Realiza el gráfico de desempeño de la línea de producción de manera teórica con el cual se puede evaluar el desempeño de una línea de producción | Gráfico de CT en función de WIP para el caso: CT_best, CT_worst, y CT_PWC. |
| plot_production_line() | ProductionLine: objeto que representa la línea de producción | Realiza el gráfico de la línea de producción en serie con los datos de la tasa, tiempo y numero de máquinas. Identifica la estación cuello de botella en color rojo. | Gráfico de la línea de producción. |

Fuente: Elaboración propia.

A manera de ejemplo, se tiene el caso de la fábrica de monedas dado por (Hopp & Spearman, 2011).

Lo primero es instalar e importar la librería:

\# isntalar la libreria

pip install pyOSCUD

from pyOSCUD import ProductionLine

Ahora, se define la información necesaria para resolver el problema:

\# m: numero de maquinas

m = 4

\# p: lista de tiempos de procesamiento

p = \[2,2,2,2\]

m1 = \[1,2,1,1\]

M=\["M1","M2","M3","M4"\]

\# start: tiempo de inicio

p ={M\[i\]:p\[i\] for i in range(m)}

m1 ={M\[i\]:m1\[i\] for i in range(m)}

\# Create a Single Machine instance

PL=ProductionLine(M=M,p=p,m=m1,name="FM")

Ahora se resuelve el problema aplicando una secuencia dada:

df=PL.df_scenarios(PL,20)

PL.plot_scenarios_TH(PL,df,12)

PL.plot_scenarios_CT(PL,df,12)

Los resultados obtenidos se presentan en la Figura 3‑19.

![A graph with lines and numbers

Description automatically generated](data:image/png;base64,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)![A graph with a line

Description automatically generated](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjUAAAEfCAYAAAC5yjdVAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAIdUAACHVAQSctJ0AAFtsSURBVHhe7b0HeBxXeqa715u8a+86XKexdW2v12F3bI/t9dg74wl3dqKkkWaUPEqjREoiJTGIOeecIwiCRE4EiEgQORGJyDk1cgONzgEZXVUI/LaquhlAFAPIRvep5v/peR901Tmn0aQa6Jcn/htQKBQKhUKh+EFIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFngmpGWitRJdt0n1FeWAc3QiMvIbArDbw7lsUCoVCoaglqpAafnIQ6z5fhx++6eLwzSF3yeOlNO4krmts7qsHR7Br8emKLXe+z20+P5yJwfIobDxd5fMP+5GeQoSmtbmvxhBzaCfSWq2uy1EN9q+Jhok34LD7tS/ZUijWAtLP3vNnOlXkqj8nE0havxPBNTbo7ROYdd9dULqu3/0eMqeh0XXihXfW43yRFrfc1aBJwg9XBcPhvqRQKBQKxRNhXGpuYWygAm/98iAK+qSPZil2JOxKROeADt1DguvWrRnouwdhn3Jdjhh7UF7bivLGLjic03OlZmoUzVKZSKvV6bo3LzzyTm9BYN2I+1psNjSIDtO4/MFsNIjfy6J1fY9aPcbGh1BdLz5u6sPk9F0d0PV2ynWae02YvfOJfjsT0GrdMiJmdtSIXvH5cWsW2l7366/tg3hnTsbtTVhzLNV14WjAv/7rVpzP1siXtsoYvBRQC+lvZVjfgFdPpMn3pVw9tQ6ZXXbxEYfcgwfxy7A2TLuK5IybNVjz1jkkid+3yyb+vcwK6G3pcL0O7V2JlP7s48Mm+X7vkPsv/Hba4vHR4WwI9xqRtRV//4O1WH4hGzPSXwJvxZGNm/Avn5zEozWTQqFQKJTHD9tSMzuNjIDjWF8y6r5xO7PQl17Ba1tL5A/9qQk7Nu0MQjcPTPZVYt3GUCQUVCIhIw/1WvtdqZmeRGZQLC6nVSKjoADbToWJH8xKfS/zpWao+AJWxrRgRnwcfXo3dsYViM9RggMrdmDt6Shcyy1HaFgEzlaY5PpjTWk4GJEh1qnEhbMXkdJ7r0JIGcHus5Hux0Bn/GacKxqEYG3AsXNJcrukiFjEDboruDM1OYzVW4Mh3bZWXcGS2EqcSiqQSnDj7FHsrXRp0IOlRvzOlZF4fXXOHGEa7qvFT187ijDx+zYaROGqzsK+i7ni6yjFoSOnENXs6leR/uxLw6T7lWix3Pd390CpicTxkCjcHJrFcGseXgvvwvqDJDUUCoVC8WzYlpoZAQd2nkaa4qefEcffWIsm+yzsAyU4GlYB3OKQsvMQxM/MObktNePGLuyOu4FJJydTFBuGK01md6178wipCQ1Es8PVy+MoPIONie3ycI1zoBbf3JaF8Vt2nHrxICqtru+jrUzF1y40y/XvTcCRs4g33cKtWSMO/vgwOidFKauLxt7oBrndzLzeHTEzHCL3BOK6ZQoVMXHINo1iw/lrsE+NI3BTPDrc1eZJzcm1SGk2YHLEjGMrtuBc9bC7xJ0xPX7xXiR63ZdJ4edRbXRrT1caPtldDE58Pff+2edFlJq/+f5S/ONPPsU/Pv8pVlzX35Gaxvp0fO1sI1IDktEkVt1GUkOhUCgUD4d5qTm/9xiiB9zX96U2ZjfOFmiQd34HEupEOZmewKXNV+EajLmb21Jj76/Bh+uO4dC5GDfJqDPcHta6N08pNZM6rHlhLdaeuP19REoMcv17o6tIwc8vt2Gg6hpeDGiSh42mBT1Cz13CGz/8GAfCctDg6ly5J7NoTQvEkuQunDiTAdMsj9QTocjqN2NzUCpuT4eeJzWHl2HZ3mD5tUSU9bnv3pP7pCY5/Cj0Y7d7l3oQsDUZ4+Llo6TmQT01Bt6BC8vW48uLmfJtkhoKhUKheDpsS82tGVTGX8ALcVr3DVfM5bnQc8CooR4fLPkSL793Ej3j4ifpLQ5JO47jytzqd6RmzNCBXwZlue8+LE8pNbM2HHvxCxQrdQLdk9lhDd5/8TjOiVISOXDv8NQ0LH0DSAs+hc035k+KFnoK8I23IrH+arZ4dQvWijisi8vE0chyVwUxDxt+Usy8nppzqDNPuC60WfhiV+Fj9dQ8UGrEh87uJGTWu4axSGooFAqF4ukwPlFYzGQ/9n2xFxey6tHY1oOcqIt4Z1McjKLUzDhHsHXVl3g7VeeuDBgrE/De8jCUinVLK6vQpLXdnVPjHMKBfQewO75Bfq78okK0Dtw/X0fKU0qN+Lg77QhWHr6KutYeNJYVYHOR8kd4e8RKfH1dhPtKFLYbZxCR1yq+vk5EnbiIqwqdKoAJ+19Yit1JLe7LKnzr+58j7ObtCTg8Wm9k4vltYdD0DskTghcqNZ0lydgXXSm+jnYEHT2As1UW+f7TSM29IamhUCgUiqfDvtSImZkaQ1F+ERLSJRpxp+9iagKHNgWg4L7pIf2N7rq5VTCMCTD1NmNgWLQgKbwNhfLzFOHajXqMcJKm3J8Z6Fuq0W5zr64SwxvbcLPbIctLd2c7HJyrZ4UztKKqb0heFTU9bsO1Gh1urwlqq6twv+Zy9Ezc+0l/N7P2Ttxo6ndfSc+hQ6b79eXU39fldCcCNOWlaB28LWQTqMmpwODo7dc7jqrbz1Gqk4e1elsqoRtx/x0oRZhA/o0u3FG8GSfqb5S7Xn+ja/KzlHv/7PMy1IvixsG5c4FEkUzO6BJf4dzUNDTjIa+GQqFQKJQFRxVS86BMODqwKyTj7v4nFAqFQqFQntmoWmqGNKVIrrk79EShUCgUCuXZjaqlhkKhUCgUCuV2SGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVIaigUCoVCofhFSGooFAqFQqH4RUhqKBQKhUKh+EVULjW3wI0No3/QDPs4L187R4fEaxMso5yrCoVCoVAolGciqpaaaX4M50NDcTkmE6UdVsyI1wlJibgclYx9oSWYdNejUCgUCoXi/1G11Njb8xCd0eG+AsYsXbha0gLcmkJJeDQKh9wFFAqFQqFQ/D6qlhp9SQjeWH0cK7ecxtaYStgtnUgsbRNLplEeEYU8BzAyIcA2whOMMDY5pXhfTdjr6zC0dw1s4lelcjUxPC7AIaJURviGCU79PyP+hGOMx+ytW64PHQrzUXdPTV8prhcPAPwo1kcXYnzEgMs5NcDMJGKC06EVxDqjPAx2J8EI0oeo0n3VYBqFfcNSWEIvwGAZU66jIqRf2pZhTrGM8A2jovgr3Sd8g1X8+SCpUU/UPVFYmMD+PfvwnVc3IlSSG0yjNjFQvF6FzVcb5CokNWyhaqkRJcZ6ci9sWz+HQe9QrqMySGrYg6SGLUhq1BV1S81jhKSGLdQsNea0FDiWvw5jQ5NiuRohqWEPkhq2IKlRV0hqCK+iWqnR9MGx9GWYCvKUy1UKSQ17kNSwBUmNukJSQ3gVVUqNzgrb1s9gPbEbBtOIch2VQlLDHiQ1bPEsSM3U5Ah04u8CfwhJDeFV1Cg1lvBA2Dd+DEOPTrFczZDUsAdJDVv4UmomHJ04sucC1h0MxU3tsPvuo8M5DCjQ6MVH02jLTUC5xXX/QRnqrsT5KqP7CrD2alBpmgAEB2KOX0OfU7w52o4b1QbMuqo8MqMNSag33b8J7jCSpT+PyNYjNzHqvuvJkNQQXkVVUmObhKmkGI4PX4Sho0+5jsohqWEPkhq2WIjUzM7ewvTM0yE9x+0MGxqQmduLmQk7VkTk4NbsDHiOx6SIwAuYdHKY5KflurdmplzX3BRGdK0IyG+Ck5/CzLSAKdFE7pSL92bF53FKj508psXvd7/UODrLcLLCglu2LmzZexjZullYc4/jSusYpgWpHQduWtKbWxCcApwcB0F87QLvKhOmpzGYugfJLQ7xvus5b81OI+HEMQS0u64nmhNQ0j8BTn4dHPhp8c99a/bOtes1T8uPb/8ZHyckNYRXUZXUaLphX/4aLJGXYLCMK9dROSQ17EFSwxYLkZre/lsICJl+Yi6ETqO7925fyG2pmRalZkfCDdi0lTh4IAinI1JRkJiDQ+cisGTrFejGnbiemoDd52JwKL4GreWpeHfzOQQlVKM+cT/iO8aRmBDnKk+ox5BjEBeDY7B7/yUEVenmSQ0m9Vh+rhL97c0o7ylBfFYHMnccQKVuENuPBojfNxwHgnJhFew49ZODOBgag7xOLU4fD8BB8XvkN3cifN0qfLovHIUG11POinIVk5nturgdzoJY6TWdOIf1Jxtg7S7A5j3itXjvpkFAXlGW/HjL+Ui0PuZmuiQ1hFdRk9RYj+6A9cg2GIxDiuX+AEkNe5DUsMVCpaa0YuaJKROxWO+Vmgq8/8Z6vLx0D6IqtaLU1OJ6QZ9YMo361FD87MPN+N7zO5GjNeBASiXcnSIYN3TgcqlGftyVsh/RNX3Ynlx/p1ywabFi7S789J01+Ci6eb7UYBKpBwMRfKMKjolxFCSFi9JRA1NbIXaX2cXyWdQErkSxWZKaUAxITzw9jrMH94mvaStu9E/CmrkPGd0T8rNJkaQmOjPXfXU7NlwQ6//svXX4wWsJME10Yu/b4vWHweicHMKX66XHW/HCG8ux/+aIu83DQ1JDeBVVSI1lDJaYUNhXvwuD+MtCsY6fQFLDHiQ1bOHLOTW3e2pux6atQ3ZRv+gPVpy5ko3Gtg5EHrmIAuMwdgUmoLStB429VoyZu3EiuQiaPivakvYjvtWK9Weuokwq77OjqSofaSVNqC7Jw8Zr7QpSA4xUBuOdLeEYmwKyQ45iQ44enLEVr52Tvm8rwg4Ho3tSkppoyJ0xUyPQSM/floekBA2Gik8hJLsFhtuHMN6aQWHkJRy8LtXpQfX1K0hLi8L2dOm6EjtEqTGMWuSy8mtxOFVpxJnrhfK1hEWa1/MYIakhvIoapMZYUQnH+z+GKT9XnlejVMdfIKlhD5IatvCl1PATduj0d6fTcmM2DBrHgFkB7ZU1SEgvEqmGgQdGB5pd16Xd4KecKCopR/bNLph769ErNhnpq3eVl/VieMiIjCypbRFudDnAj1jQZrnvCGjOhPo6UaBmAVN3N7pHRLvBNPrryuR2JdpxqRJasroh98c4DciWX08R+sW6t5x6ZImPmx1SoTui+JS466Tm9MI5YXG9JpG0vD7YjR3u60ZIo02CXXunvOPxOmpIagjvogapsa37ANbwi34vNBIkNexBUsMWvpQaysJDUkN4FaalxuBwHYOwa7W8N41iHT+DpIY9SGrYgqRGXSGpIbwKy1IjH4Pw8cswtGgUy/0Rkhr2IKlhC5IadYWkhvAqzEpNRy8cn74Kc1aGcrmfQlLDHiQ1bEFSo66Q1BBehUmp0Rph274C1rMHYTAOK9fxU0hq2IOkhi1IatQVkhrCq7AoNZaQANjXfgCDeUyx3J8hqWEPkhq2IKlRV0hqCK/ClNRIxyAU5GNo6cswVtcp1/FzSGrYg6SGLXwpNfqGZGS02jE5rMMXpxIgYAb10SFIm7ulzEMygZgVyehxX91OR2UONh44j7W7z2L7pZuuJdl+EpIawqswJTXSPJoVb8ESGy5vuKdYx88hqWEPkhq2WIjUzOgHwGcmPBUzOmnHYFdGTC1ILdXAOlCOsDMRqBieRNi5HJj4MZw7dxFL155DdpsV0+M2XI2LxtJtQajurMeBtUfFsqPIaO7Fp2+vx9s7gtFoua0uRoTuTICFk85TmoW93wKLvh0btkttLqFG/MfeqK4Fa7aK13ujMDAhoLu8AJ+Jz3c0tgrC3Q2PmQxJDeFVmJEa0whsh7fJRyEolj8jkNSwB0kNWyxEaqZ7OzGy7JUn5/M3MNVY6X42UZImhxBT2ghzbQJqy64hoNyAC9lVMHffRHRWF+C0Y1VsGfhhPT6JuCG30eadQ1ilTfwdN4oppZ6akRqcvlQnlt3NrWkBZosdbRU5WJfSjpqSQlR26WFyjIl/dguiAuPRZ7Ah8Wo6esXf4SyHpIbwKkxIjXkM1ogg2Fe8BUP3gHKdZwSSGvYgqWGLhUjNLZ57embuOZF6ZhIBgTE4cCEJjolu7Nx9BdfKu2HsKMa10n6AG8KO8GKMiVJzPLPO3WgYuRGpOHUgCNd1NoXhpyGE7L2MXvGzUdohuLusDY0tFTgdloSz54KwIqkD06NmRMal4eiZBHSN9OLw2qM4G56KCxGFGJB7eNgNSQ3hVViQGmNjCxwfPg9TYeEzsWvwwyCpYQ+SGrbw7UThW+jOvIDnozrFRzNIPrseWZ3DmBm3Ys267fjuK5txUZSbqXukpi/nPL776ip856WzaBFm0Bp3GN/64ADKB+8et2Bqv4k33lsp1luJT8Lq0VOfi5d+IV7//HN8FNuOmrRI/Eh8jp+vuwjbpICalCvy9Xc/OQ2t+P5kOSQ1hFfxudT06mHf/CkskZeUy58xSGrYg6SGLXwrNZSFhqSG8Co+lRrpGIRDW2HbueqZOQbhUZDUsAdJDVuQ1KgrJDWEV/Gl1JhysuTTtw1tXYrlzyIkNexBUsMWJDXqCkkN4VV8JTXGhmbYV74Nc2a6YvmzCkkNe5DUsAVJjbpCUkN4FZ9ITb8J9o0fw3r20DO5a/DDIKlhD5IatiCpUVdIagiv4nWpsY7DEnIe9nUfwaC3K9d5hiGpYQ+SGrYgqVFXSGoIr+JtqTFL82iWvQpTZZVi+bMOSQ17kNSwhS+lZmKoCycOBGGzSHjJ/YcdzI9jsBetfcPuq7vprMyWn2NzQAoGR9nePO9pQ1JDeBVvSo2xUwv7Z2/AFB+lWE6Q1LAISQ1bLERqpHpTt2afinu/17ChAZm5vQA/inUB1zEk3rs1O4OpqWlMzcyKF7cwMy0+Fq+nxWtdUwWyK3XyY9ez3ILjZhje3pAvn+802t+N9E4DZmdcbaamxXpixRn3tavdLUxLZSKzvnG5pwpJDeFVvCY1gzbY9m+A9cRe5XJChqSGPUhq2GIhUlM1YcbX2uKemL9ri0fasNb9bJLU1ODooTjEJqTjjYBczE45UZgVh70nw7D3Qhq0dgsungkRryNwtVaP4uhj+HTLBYSUDGBGfgYn0vdHonZSvriTxsIUuc3mYzEwSUcxHArATvE6OrMDvXX5OHU4AnsPXkJWqwOMH/U0L6qWGueIFlvW78TrH4uczRfvTKMpI0q+PpTeJtchqWELr0iNbRKWiEtwLHsNBk2vch1ChqSGPUhq2GIhUjMxM4WmSftTMTwtHV/gyrChDhERZWjr1CIv6RLiGg34bMU68TNuB55/dQWiOkcRf/CMeH0EaS0W6FuqkV977xHePHJOhKJizH3pTnWm63PyB58fQbdjFNeCAvCaeH2qsgehSzbghY/Ez9QP12LtqUqobbBK1VIz4ejA0dBUtHfrMCT+IhBGTbiYXSW6zQTCg7OgnyapYQ1vSI2xpg6O5W/AVHRDsZy4C0kNe5DUsIUv59TIUhNZhvaufuSLUpPYPoTwzAL5ur1LjxGOh1bbj+a6OpzKaYKpvQ5xGbXQiv+wu/2Kx5rS8NmWZNSJbapvViGnpx6hWxJQL16HJMTLUqOTn68JEdFpyAsOQ2a9dN0P/ZDzzvOoJaqWmiluCDlZ+YiIS0dgTi3GLJ1ILJV6aKZRHhGFPAcwyU3JvyQINnDy04r3PcWIdgD2dR9gLDVWsZyYy4RzCuMiSmWEb+CEGcX7hI+YEHwmNfyECenJ+YiRKHdNFB4daHJdJ5ejb3gUuTnS42JozOOYmhhGVnY+clos7uEnV/qby11tcqphn5xGW6X7OXNrMcw5UOT+Hjd142LtYdxwX5d10/CTT3KLG8H6hBJFqaGeGrZY1J4a0whsBzeKUvOhPKdGsQ4xB+qpYQ/pg1TpPuEbfNlTQ1l4VC01I0ONiAzPRVJ6Pi7l12JGlJvYlGu4llmAQyHF8mxvkhq2WEypkY5BsK96B8bmdsVyYj4kNexBUsMWJDXqiqqlZloYRUuDBtXN3XKXmrR8bdSsQ7V4r8vsmhlFUsMWiyU1puoaeWKwKS9XsZxQhqSGPUhq2IKkRl3xi+Gnh4Wkhi0WRWqkYxDWfwTr6f0wWCeU6xCKkNSwB0kNW5DUqCskNYRXWQypsV4+C9vW5aLcmBXLiQdDUsMeJDVsQVKjrpDUEF7F01JjysqA46OfwljboFhOPBySGvYgqWELkhp1haSG8CoelZq2TthXvgNzYpxyOfFISGrYg6SGLUhq1BWSGsKreExqjMOw7VgJ68k9MFjGlOsQj4Skhj1IatiCpEZdIakhvIpHpMY6AXPkZdiXvwZDR59yHeKxIKlhD5IatiCpUVdIagiv4gmpMZaVw7HqHZjKKxTLiceHpIY9SGrYgqRGXSGpIbzKU0tN14A8Mdh8JUK5nFgQJDXsQVLDFiQ16gpJDeFVnkpqzKPyHBrbpk9p+baHIKlhD5IatiCpUVdIagiv8jRSY05NlM91Mmp6FcuJhUNSwx4kNWzRO8hheoakRi0hqSG8yhNJjW0SpqpaON7+HkzFxcp1iCeCpIY9SGp8i87ihNbkROYNDruOCDgeIECYIqlRS0hqCK/yRFJjGIJtyzJYzxyQl3Ir1iGeCJIa9iCp8Q11bU6k53M4c5nDxt089p7gER7PobqRp54aFYWkhvAqTyI1lsCTsO1cCYPeoVhOPDkkNexBUuM9+k2iyBRw2H9CwJdbBWzaIyAykUO9KDjdOif0NppTo7aQ1BBeZUFSY5uAOSMNjo9ehLGucX458dSQ1LAHSc3iMWB2oq3XiZIqJwLCeazeImCjKDLnLgsorhTLLfPbkNSoKyQ1hFdZkNR09MHx+S9gvpYkz6tRrEM8FSQ17EFS43k6tE5kFjpxNpjDtgMCth7gERzLI7+MQ2uPE4NW5XYSJDXqCkkN4VUWIjW2zctgk45BIKFZNEhq2IOkxnNI82TOhXBYtlbAp2tck34r6jlZYqShJQmldvdCUqOukNQQXuWxpMY6AUt4EOwr34axg5ZvLyYkNexBUvNkSIKi6XOiuIpDRAKPXUd4bNkn4FQQj7RcTh52Umr3KEhq1BWSGsKrPI7UmCqq4Fj2GowNLYrlhOcgqWEPkpqFobM6cbPeicBwHpv3Cli9VcDpSzzyypxo6XZNBlZq97iQ1KgrJDWEV3mk1HQPYOjjn8k9NYrlhEchqWEPkpqHI/XI9Aw60aBxIi7Nia37BazaImDHIR7Jma5VS0rtnhSSGnWFpIbwKg+VGss4rCf2wLbrSxj6Tcp1CI9CUsMeJDXKSJvi3azjEJ3E48ApHht3Czh+QRSZLCeqm10rm5TaPS0kNeqKb6WmNRZff37ZHf73S1+gxuYu81BIatjiYVJjTkmAfcWb8hlPSuWE5yGpYQ+SmrlIw0dX05xYv5OXJ/tKQ0yp2Ry0Rpfo6Bd5IQFJjbriI6kZRWjAJayNbgbvviNldtqBoNMBOJXcDM5972lDUsMWilIjHYNQUYWhX3wHpuzM+eXEokFSwx7PutRIElPT4sT1fA7HA3is3cFj73EeEVc5VDYqt1lMSGrUFR9JzTiGRgT34/kZ05vw4NKFhaSGLRSlxjwG27bPYAk8DoOJjkHwJiQ17PGsSo20OunqdU4UGAFrtwvYdVSQr6WhpS4Pz5NZCCQ16orP59RMjo6KH2Q2jPEz4MdsGBdm3CWeCUkNW8yTGvMorOePwrZ9xdz7hFcgqWGPZ0VqpDkwXQNOFJZzOBbA47N1AtZsE3ApynVMgVIbX0BSo674WGomEHL+Is4f3YOgOht0hacQkqt1l3kmJDVsMUdqbJMwpybB8d4PYaylYxB8AUkNe/i71DR3uoaWzgXz8solaT+ZsDhOlBvPr1zyBCQ16oqPpUaD+LBaTDdFylIzpc9DWGyru8wzIalhizlSYx6V96MxZV2Xz3m6tx7hHUhq2MMfpUbawfdGBYfD53is2Og6PFLqkaltcaJX//BjCnwNSY264vPhp4iTx7H/7EmsOXwe31l6BNk9o+4Sz4Skhi3uSM2AGbbtn8Ny+sC8OoT3IKlhD3+QGmlVUluPtLuvE8ExHDbtFWSk3X2zi10io9SORUhq1BWfSw24YeQW18g0mO9dC+WZkNSwxW2psYScg+PzN2HoGZxXh/AeJDXsoWap6TU4kV/mxPlQXj44UtpLJiiSQ/5NJ5q7XLKj1I5lSGrUFZ9LjcA5MTI6fgcnP+0uefwI3AT46Vnx0S1M867nm3A/D0kNW0hSY2pqgeODF2Bo6VCsQ3gPkhr2UJPUDNpcS7AbNU6EXuHw5TYBn60XsP+kgLxSdUrM/ZDUqCs+lho7Du8+i+OBcW7ikddgcpc9XgRLF7Yc2IrUehNmhXGkJF7B8YAo7Aotk/e6IalhC0dPHxzLX4clOkSxnPAuJDXsoQap6dG7hpaiEjnsO+E6c0kaWkrJ5tDQrtxGrZDUqCs+lpp2hF+sdD9+gggTOBp2DTeq05EvSs24tRtxxc3ALQE3wmNRMkxSwxq2I9th370aBiPtR8MCJDXswbLUNHY4ERrHYcMuAZ9vEHDoDI+cYk4+HVv7lAdHssaAbQLp+n6E6TshzHp2qxHK4sXnw0/hV2JQ09hxh37LhLvk0elMO4PNlwqQez0GF6+3wmHpRGJpm1gyjfKIKOQ5AF6YxiRP+ByngMnMJIysfhuTYxPKdQivw4k/H9KQr1IZ4RuE6VnF+77AMTKNvoFp5BVN4fDpKXnV0s7DAhKvC9AZphTbqJVxbgr6yXHUjFpw1NCAH3am4Tfrg/HL7jw4ZxY+LYLim/hYagw4su8iUrPL7tDUN+wue3QMra42keFBOBhbg9FhPYJza4GZScSFpKGbp54aVjBWVsHx7g8wWpilWE74BuqpYQ8WemqkYwpiUzgcOM1j3Q4Bh8/ySMp0oqrRKZ+5pNRGrfRZx5Cm78e2nip8uzUFf9QQgb9qisG67nJE6rrQbh+i4ScVxcdSY0VCapH78ZPH0lmAAnkuzjQqY0/haz9YglXRotyIIalhAOsE7Js+gSXozNx9agifQ1LDHr6QGmmfGGlSb0aBE1sP8Ph4tYDVW3jEJHPyRGClNmpFOgBTJ9JiGcJRbSP+pTUZ/742EP9O5IW2dBQZjXPq05wadcXHUjOErfsCxH8R5LspQE2Xw13mmZDU+Bi9A9bju2HbvUaUm3GSGsYgqWEPb0mNzjKJujYn0gs4nLnEY8NuQT44MiyOR0m1f6xcupce6yhyDXqc0jbhZ+2Z+NOGKPxVUyze7MjFCfGeJDlK7Uhq1BUfS40TfZ1atN2hH0aH013mmZDU+BZzRhqG/vVbMNY1yMcikNSwBUkNeyy21PQMOnEtl8PuY7x81tKWfVNyj4y0u690FpPeptxOrdSZ7DimbcSP29LwBw3h+M26YLyhyUHKoBbVZiv6H7GbOUmNuuLzicKLHZIaH9Krh2PVOzBnpt25R1LDFiQ17OFpqZEOjmzvcy3BDgjhsXqLgPW7BJwL4VDqlz0yY6g12xCu68BbHXl4rj4CXxFl5p+bE2W5GbRPKrZ7ECQ16orPpKa3ogz7TkXcRxQyawzuGp4JSY2P6NPDtukTWAOOynNqbt8nqWELkhr28JTUSMusMws59+6+PLYfFBASw8k7/rb1+l+PTLnRgsD+VlFkcvHXTVfwu/WheF2TLYtMvlGv2OZxIKlRV3wmNbMzMxCEZsSH1Ilfp2QmBnKQWEindPsDluCzGPrwRRi0pjn3SWrYgqSGPZ5WaqqanThzmcPydYLMqYs8KhtcPTKSyPibzFwd7MG7HXn4rbpg/EptIP6gIUyWG61tHDoPHJRLUqOu+Hj4qR1J4U3ux8CYNhPRKR3uK8+EpMb7SMu37SvehLGmbl4ZSQ1bkNSwx0KkRhIUqUemuIpDeDyHHYcEbN7L42Qgh7Q8Th52UmqnVqQN8arMVllkPu0qwv9qScDv1Ifi/7Rdw/KuYhQaDYrtngaSGnXFZ1LTX5OH91dtx4u/2CZ+PSjzzvtfIE8rHW7guZDUeJnWDjg+fRXmuEh5YvD95SQ1bEFSwx6PIzVSr0tpjROB4Ty27BPkTfHOXuZQcNOJli7XeUxK7dRKp3UUMboufNpZhL9oisFv1Yfgb5rjcLa/BdmGQXRYRxTbeQKSGnXFxz013chO0rgfL05IaryIeQy2w9tg27VauVyEpIYtSGrYQ0lqpB6ZXr0TTR1OxKVy8llLKzcL2HGIR2q2E32GufXVjtQj024ZkZdgb+wux981xePX6y7j/2uMxHudBagz2xTbLQYkNeqKj6Vm8UNS4z0scZGwr/4lDF39iuUSJDVsQVLDHvdKjdwjU+tEdBKHg6cEbNwj4ESg6+DI6mbXpnn3tlU7bZZhJAz2Yn13hby7rzQ/5h+bE7C6uwyRuk65x0ap3WJCUqOukNQQHsFYUS0fg2DKz1UcdroNSQ1bkNSwhyQ1Us+LdEzB2h08lq8VsP0QL+8tI52OLS3RVmqnVvT2Sdw0WbC1t0petfSf6oLwa3WX8HFXEW4azegWRWbwIb9TFhuSGnXFx1IzBkP/iPsxMMtZYLBOuq88E5IaL6A1wrZlOazhF5XL74Gkhi1IathAkpjaVifSRHE5EcBj9TYBe47xiEzgUNOs3EatSMcUSD0yuYZBHOytw/Pt6fj9hjB8VRSaV9ozcXlAg16r+Nmg0NYXkNSoKz6Wmrmrn6bGa5Hs4Tk2JDWLjGlEnkdj3/4FDAblbcbvhaSGLUhqfEtrtxNX0zjsO8Fj7Q4Be0WRuZ4roLrJiW6dchu1IslMvtGAfb21+D+t1/BcQwT+sCEcy7qKETfYgyqT1ac9Mg+CpEZd8ZnUTPPiL1RHNcIvlItfxQ9Gkeb4PQgs1blreCYkNYuLKScLjvd+DEN9k2L5/ZDUsAVJjXeRho6kYwoKbnI4dNY1tPTlVh6Xozk0dbrqLGRJN+v02cblXpkAbStebMuQjyj4zfpg/FNzAqJ0XYptWIOkRl3xmdRYuhtxJvgiPlt5QfyaKHM2NAWDE+4KHgpJzeJhbGqHfc37MOdmK5YrQVLDFiQ1i4/UQ9HY4To48lwwjy37Bew+yiP0Co+Cck6WnHvr+4PUSPvFXOhvw+uaHPxlUwz+uCFS3un3QF8dKkwWxTasQlKjrvh4+EnAhPght5ghqVkktCY4vngT1rOHYbA8/vg3SQ1bkNQsHlKvTF6pE4dOc1i1WcDa7QJCYjnUtLh6ax60ckmtUtNnG8PFgTa8osnCb9eH4FfrgvDNliQk6nvRYLbLO/wqtWMdkhp1xWdS05qTgSVrj9zHUUQV0DEJasAacQn2L34BQ/eAYvmDIKlhC5IazyEtv27rcR0cGRzDYcNuAZv2uI4pyCt5/L1k1CI10tCStLvvFV0PPuq8IffISBN+/6UlGeu7y+VhJ6V2aoOkRl3xcU8NUJt9Hev2XHATiMQymlPDOubCAjhWvQtjXYNi+cMgqWELkpqnR9oUL7fUifMhnHxw5OZ9AoKiRJEp4+TdfRd6CjbrUtNotiNYp8F7HQXyiqXfqA/G91pTca6/BemGAY+ct8QSJDXqio+lxoIVh0LcjxcnJDWexdjWgaGPXoQ5Plqx/FGQ1LAFSc3CkXb3lYaWpIm9wTE8Vm0RsGytgP0nORSUK7dZCKxJjc42KQ8dZegH5POVvlIXhn9fexG/XncJG3sq5N1/ldr5CyQ16oqPpaYPiVeq3Y8XJyQ1HsQyDuuhrbAd2PRYy7eVIKlhC5Kax0daYi0NLUUlcvIeMlv2Cjh50bW7r3R8gVKbJ4EFqZGWVktHEVwd7MXnXSX4ZkuyPE/mW63JsthI9/2tR+ZBkNSoKz6Wmmmk5le4Hy9OSGo8hyU6FI4v33voMQiPgqSGLUhqHk1d2905Ml9sFHD0nGtoqa3XCe0iHBzpS6npF0XlumEAq7pK8eeNMfLy6z+oD8f2nip5RZM0T0ZazaXU1l8hqVFXfN5Ts+OzvXjrDvsQktPrLvNMSGo8g/FmORxLX4apMF+x/HEhqWELkpr5SCuTGjROJGc6sfsYj9VbBWw/yCPuGod2UWSU2ngSb0qNNLTUahlCnlGPnb3V+E5LCv5r3WX5JOyft2ciVd/P5IZ43oSkRl3x+UThxQ5JjQfQGmBf9xHMUZeVyxcASQ1bkNTcpbLJiRjp4MjTPNbv5OUeGWloqbJR6pHx3ge7N6RGOobgmigs23qq8N3WFPxRQ4TcM7OquwwhAxp5CbZSu2cRkhp1xcdS0463//8P8NU7fIS9sa3uMs+EpObpsUjHIGz6FAb90/+iI6lhC5IaJ9LyOGzay2PpKgFrtguIv8bJy6+lCcESSm0Wk8WUGo11BEe0DfjnlkT8Sm0g/q3ID1vTUGDQy8NKz9rQ0uNAUqOuMNVT05d5CRX94+4rz4Sk5ukwXU+F/Ys3YXzMYxAeBUkNWzxrUiOtWqprdeJ6vhOnL/HYsGsKe4/zCIvjUFrDxgnYnpSaLuuoPLR0WtuMn2uy8CeNkfjvTTF4XZONI30NaDI/2YT/ZwmSGnWFKamZmqhHckK7+8ozIal5Chpa4Fj+GkzFxcrlTwBJDVs8K1LTNeBEarZ0cKRrZ9+tB3jEpnDywZFSmS96ZB6EJ6Sm2mzDMW0DftyaJg8t/VZdMF5tz8ZVXQ/KTRb0q3R3X19AUqOu+FhqeAz26dHtJvnQMoRUGtxlnglJzRPSb4J97QewHtsJg2lUuc4TQFLDFv4qNVKPi0brRFGVE2cuc/JeMut2CDgXwuFm/YOPKGCBJ5GaHuuYPA8mdKADb2ly8fv1Yfjd+lD8ffNVHNTWY9BOw0pPCkmNuuJjqbEj42o2wt1EJlbBMeUu8lBIap4MS9hF2LYsh6Fbp1j+pJDUsIW/SY20OimjkMP5UB7bDgjYeZiXz1vKv8mhvY+tHpkHsRCpuWkyI3CgDW9ocvDXTXH43YZQ/Kw9Ewf76pFtGFRsQywMkhp1hanhp8UISc3CMeflwvHJz2Bs61IsfxpIatjCH6RGEpWKBqd8xtLn63l8JiKdhl3V6ES/ie1eGSUeJTXSEusrum683ZGL/1wXhH9XG4g/rY/EGW2TPIdG2mtGqR3xZJDUqCs+kppBpKYUIbPRjGn3HSmzs05Ul1ciOaYAI+57TxuSmoVhbOmQ96OxXImAwer5X44kNWyhRqmRJEXqkSmu4hAe7+qRkVYvnQjkkJ7PoaNfuZ1auF9qJEmRDo6MG+zBss5i/H1TvLy777dbU+TdfnON+jn1Cc9CUqOu+Kynpr+7Azdz4vHh2qNY6ubj9QeRXNKCDrvgrvXwOEd1OLBHbLvpHAq7HeKdGbTnJ8jPdTavU65DUrMwrIc2w3ZsFwwGh2L500JSwxZqkhrpYEjpmIILYTy27ufx5TZBPkSyoMyJ5k42Vi55gttS02EZQZSuC0s7b+B/NMXit0SR+VpzHI5pG5Fh0KFdLL+/LeF5SGrUFVUPP42Od6GzZwTcsAEnEnIhjJpxIasSmB5HyOVsmGZIah4b6zgskZdhX/0uDL2L9y8/khq2YFlqpGEl6QRs6aTrmBQem/YIWLFJwM4jPNJyF376NetIB0N2WEdQZjdhfXcFvtp8Bf+p7hL+oCEc73bkyb01Su2IxYWkRl1R/Zwa3tiO05cjkVKjxZilE4mlbeLdaZRHRCHPAUw4pzAyIRCPYKiiDEOf/BxjlWWK5Z5ikptWvE/4hnHx52Nskq2fEfuIgMoGHjHJPA6clA6OnEJAyBRyb0xD0+N/P8/akTFcM2uxvqcc32lNwVdEifl621Vs0lUgztKNwbEJxXaE9yCpUU9ULzWzUxzMg/24lFulKDWOMR4mh5N4GOYRDK16G5aYUJjsk8p1PMTIuKB4n/ANUk+mdYRTLPM2PTonrqTwWLt9Cp+vn8KuI7w8R0Y6HVsaWlJqo1aM4s9ZmdmMbX1Vco/Mr9dflufJfNhZiNohq9xjo3cs7s8i8XjYqKdGVVG11IzoS5CYXoMbxRW4lF+PGecwIlMzUVxWiaMhRRgT69Dw0yMwDMF2YjdsO1fBoLMo1/EgNPzEFr4cfpKOIpB295WOKTh8lsfqLQJ2H+URmcijtk25jVqRjh+QTriWjiOQllv/pC0dv1cfir9ojMErmkxc6G+T95qR6j7JPjXE4kHDT+qKz6WmOiMVq3acRU7vKLqyzyOvT1KRx8sU58DN4hrkljZAJ77xgFk4BrqQK95rGBiS65DUPBxzagIcK96CUdOjWO5pSGrYwhdS09ThlE+83n9SwPqdAvaf4MV/nLgOjuweVG6jZvIMg9jXW4vvtabijxsj8YcNEfiosxDRui55n5n7T8EmqWELkhp1xcdSY8axC3GYbopEUJ0NU/o8hNGBlt5B+kXa3A7Hez+CqbBAuc4iQFLDFostNdJkX2lCr9Qrk1/G4eApAcvWClizTUDoFQ5tPcrt1IzWNo5O6ygCBlrxk/br+M91l/BrIv/UnIDwgU7FNvdCUsMWJDXqis+lJuBQNNrKInE+rw6XLp5BSLbWXeaZkNQ8AK0J9q2fwXrmIAxG7x1qR1LDFoslNdJeMg0a18GRZ4M5bNknYM8xSWR4FJY70eNnPTI68R8JhUaDPIz0qiYLf94Yg+caIvCaJhv7e+tQZjIrtlOCpIYtSGrUFZ8PP9naivHtV5bjGz/7HEti2zDCzbhLPBOSGmUsl87ALh2DoLcrli8WJDVs4Wmp0RqdyC524sBpHqu3Suct8QgTRaam2SlP+FXb7r6PotM6IovMT9vS5bOWfrUuCN9uTUaMrgs1Zht63fNkFgJJDVuQ1Kgrqp4o/DghqbkP6wRMWRlwLHlJHn5SrLOIkNSwxdNKjTS01Cbv7utEUJQTG3YJ8n4yJy/y8nlLWpNyO7XSZxuXZSVG142POgrxJw2R+L2GMPxTS6K8JLvZ8vS9niQ1bEFSo66Q1DxrdPTB/vm/whwXCYNlXLnOIkJSwxZPKjXS8FFOCYcA+eBIHlv38bgUxaNAFJmWbv/rkak323F5oB1vduTgb5rj8Bt1wfLE3+PaRqQZBuSN85TaPQkkNWxBUqOu+FhqbiHl7HF87QdL3HyM/XHSPjOeC0nNPVgnYNu3DtYTe5TLvQBJDVs8rtRIE34lUZF29w2K4OSDIz/5UsChMzyKq5XbqBVp+bW0IkkSlUy9Dp923pD3kfmV2kD8Tn0o1nWXyz02Sm09AUkNW5DUqCs+lpp2bNt9zf14cUJS48Y8CktoAOxfvgdDt065jhcgqWGLR0lN54BraCkykZP3kJGHlgJ5pOZwaBYFR6mNWpFEps5sR7yuByu6SvGNliR5Q7z/LX6VDo6M1XV7tEfmQZDUsAVJjbriY6mR9qvIdz9enJDUuDBW1cDx/k9gLC1zLedWqOMNSGrY4kFSU93sxKUoTpaYLzYKOH6BR0EZh9Zup9/Nk5GWYKcO9osiU4K/bIqRD478b41R2NhTgTyDXp4nI/XeKLVdDEhq2IKkRl3xsdRwOLx9O15busPNLgRl9bjLPBOSGpF+ExzrPoAlKkS53IuQ1LDFbamR5shIm+IlZXDy8QTS7r47DgmIv86hq1+5rVqRll+7dvc1YEdPNb7RmoT/WheMPxVF5rX2bCQO9s3bEM+bkNSwBUmNuuJjqRlASFiO+/Hi5JmXGr0D1qPbYdu7Fgad70/5Jalhi9pmHnGpPA6e4bFxt4Bj53kkZ3GoanRiwM9OwZaWV1/T92NLTyW+25qCP2qIxF81xmJ5VzFCBjSoNdsU23kbkhq2IKlRV3w+UfjsdRp+WkzM11Ncy7e1BsVyb0NS43ukwyFTspzYsMc12XeDKDNX0zn5iAJpMrA0KVipnVppt47I5y39XVM8/m1toLyXzAvt6cg0DKDfNuHTXhklSGrYgqRGXfGx1OgRsD8Im+5wCSnlg+4yz+RZlhpjfSMcy16FKTtDsdwXkNR4H2kOTK10cGQ+J+8fI22It+c4j7A4HtWN4s+H7cn3qWGRLuso8ox6nNQ24eftWfjD+gj8WWM0XtFk4UhfAxrNDsV2rEBSwxYkNeqKj6Vm8fPMSk2/CfYty2C5cAwG04hyHR9AUuM9NFonkjOd2H+Kx9od0hwZaaiJQ3WTa1WT1CPzpPvUsEilySJKSz3+T+s1PNcQid+sC5alRtrdt9RklicEK7VjDZIatiCpUVd8JjV1SfF4/p0v8e2XV4tfN7p4cxUOx9M+NU+NZQzWS6dg27xMudyHkNQsHtKwUme/E0WVTpy6xGPVZumYAgEXwnj5BGylYSU1S400R6bR4pDnw7yhycFv1F+Wl2D/fXO8PNw0aGdrWOlxIalhC5IadcXHPTXtSApvcj8GpkYqkXyt033lmTxzUmObhDnzujyPxlhdq1zHh5DUeBZJVKRl1ukFHM6Hcth6gMeuIwJCYjnklzmh6VNudxs1Sk2Z0YyA/la8qsnG/2y6gt+rD8NP2zNwSBSZTIPv9mDyFCQ1bEFSo64wJTWGnCM4X0CndD8VPTo4PnsDluR4eQdhxTo+hKTGM0gTektrnPL+MZ9vEPDZegEBYbw8tCQdKvm4xxSoRWr67RPyeUuviyLz63WX8R9qL+KrotCc0Dai3TK8qDv8ehuSGrYgqVFXfCY1usZirNy2H6+/t0/8ekZm9c4AdI24K3goz5TUDFhcxyCcPaRczgAkNU+G1CNz++DIsDgOW/YL2LzXtSleRoETXQPK7R4Fq1LTL0pKtdkq7+K7rKsYf918RT6iQNrdd1V3GbL9oEfmQZDUsAVJjbri456aMRgHR92PFyfPjNRYxmC5fEbupTF09SvXYQCSmoUhnYJ9o8KJC+HSwZGuOTIBYRwKyzk0d7rKldo9LqxJjcYyjChdJ97ryJd7YqTdff+xOQH7tXVINwzIm+YptfMnSGrYgqRGXfGx1Cx+nhWpMTa1wbH0ZZhuliuWswJJzcORemSk4aP2PieiEjms2S7Iw0u7jnLIKPC8fPhaanS2CXkJdr5Bj/U95fhvDdHyPjJ/2BCGDzsKUGGyKLbzZ0hq2IKkRl0hqfEHND2wr/0A5isRyuUMQVKjjCQy0hyZ6CQOB05Ju/vy8p4yyZmcvMeMUhtP4Aupkc5RarUMIUHfh7Xd5fhOa4o82fcfmq/i8+4ShA50yPNklNo+C5DUsAVJjbpCUqN2jMOw7VsP244V4uMh5ToMQVIzF6lHRjoB+3aPzN4TAjILOXRoXZvmKbXxJN6WmiKDEetFkfmfzVfwX+qD8fsNYVjSWYhcvV4eWpJ6bpTaPUuQ1LAFSY264mOpEXDl3Fl89OkaBNXZ0J6wBcFlBneZZ+LvUmPOuOaaR9PRq1jOGs+61PTqnahrc+JaLodDZ10HR0oHSEpDTfXtym0Wk8WWGklUCo0Ged+YH7alyZN9b+/ue76/Fd3WUcV2zzIkNWxBUqOu+FhqehAeXIzppkhZaqb0eQiLbXWXeSb+LDXGymo4lr0GU26WYjmLPKtS06Bx4koqh4OnefmsJWmIKTGDkzfFk0RHqY03WCypyTXqsau3Wj44UtrdVzoB+5ed+YjUdaLEZKIemYdAUsMWJDXqis+Hn/as3oColFAcjYzF3/54OcKb7O4Sz8RvpUZngX3DEljOHVYuZ5RnQWqkyb7SqiRpnkxOsRN7j/P49EsBa7YJCI/n0Nqj3M4XeEJq9PZJDIiS0mMdw/n+FnynNRW/UhuI/1gXJM+XudyvUWxHKENSwxYkNeqK7+fUjOlx6FyMTKJm3H3Tc/FLqTGPwXrhOGzbPoPBwP48mnvxZ6mRjimQemSu53E4G8xh814ee44JCI3lcKOS82mPzIN4GqmR9pIpMBhwrr8Vr2my8ceNkfiTxii83J4p7+5bbDQptiMeDkkNW5DUqCs0UViFmNPT4PjoBRhr6hTLWcYfpabX4ERmoROHTvP4cpuAdTsFRFzlUd3sRJfu8Xf39QVPIjVtliGc07bgB61p8kRfqUfmB23XEKbTyBvmST02Su2Ix4Okhi1IatQVH0mN+Mu+rQeNCgzaJt11PBO/k5r2bjhW/xLm1ETlcsbxB6mRhpbae50oqXHiYgSP9Ttd82ROBwkorHD12Ci1Y5HHkRrp4Mgasw2Rui580FmAP6gPw+/Wh8oHR27pqZQPlVRqRzwZJDVsQVKjrvhIaoZQmF6EhHkUo75nyF3HM/ErqRkww75lOawqm0dzL2qWmu5BJ7KKnPLBkdLuvltFLkfzKLjpREu3ay6NUjuWeZjU1Ikic3GgDa+1Z+FvmuPw/9aH4Ptt13C0rxFp+n5orf5z3hJLkNSwBUmNuuLz4adtgZfdj4CqwCUIbqCJworYJmEJv4ihD56HsWtAuY4KUKPUNHU6cSGMw7I1ApauEnD4LI+yWk6WGDWKzL3cLzXSpN8sow7vdxbIO/v+m9oL+KOGCGzsrkC3ZVTeOE/i3ucgPAtJDVuQ1KgrPpaadlwOKHY/xoKXdI8NaXD44AVsOnAe4SVdmJ2awPWrUdh+6CK2h90EL9bxF6kxlVfAvvpd8WulYrlaUIPUdPY7UVLlRGQCh52HeWzcI+DEBR6pORzaGFq55AnMw6K02ey4ouvByq5SfL0lUd5L5p/Fryu6SxE32IN+6pHxKiQ1bEFSo674WGomcXxXMDrlxw6Ef7IBwTeN8tXjZHpmEpPOaTiHBhGWW44JWy9ii5qAWwLywuJQPgrwgljOq5txrRZDn76KicxExXI1IQgzivdZoLVzSpRqAVv2CfKmeBdCplDTMA29aRqj48pt1Mqwk0euXYcVfcX4avMV/GZ9CP625Qp266tROWqGbnIME/yUYlticRGmZxXvE75hwjlFUqOi+Hz4CTYNXv5gi0x4l/veAjLDjaKi5BqK+scwZulEYmmbeHca5RFRyHP4QU+NeRTWQ5th2/QJDIN25ToqgqWemh69E81dTiRc57D9II9VoshIPTMJGWwuv34apAn40nlKNwwGbO+txj80XcV/qbssb4r3dkceEvV90NGwEhNQTw1bUE+NuuJjqTHjekat+/HCw09YkJZ+HUmaYfmaGxpEaF6daDpOJIakQsOpX2rM15JgX/+Rao5BeBS+lhqd1YnyeidiUqTdfQV5aOlYgOvgyKomda1cehz6rONI0WuxqacC321NxVcawvHXTVfwcWeRfHBko93+xPvUEIsDSQ1bkNSoKz6Wmhk0ZETh688vw9fXR7jvPX7sbWn4wQ+WutrvTMWtW1Moiz4lXn+KlRHVkN6GapYaY3klHO/+AKYbhYrlasRXUiP1yiRed2LdTh6frhGweZ+ApCwOXQOuJdpqn/B7P82WIezprRUFJhb/ofYifq3uEl5vz0Gqvl9eon37mIKn2XyPWBxIatiCpEZd8fnw04hJi8yCSpECrN0dgP3BKcgu6gfnLn/aqFZqBsywbfwYlgvHYbD6zzk53pIa6YiC2lYn0nI5nAjk5Q3x9hzjERbHyT01ksgotVMrndYR+byl49pG/LQtQ95H5s+bovFSewZOaptQb1YeuiSpYQ+SGrYgqVFXfCw1Azh9LBo3a1pwU6OX78xM2FFRZ4IgXz191Co11jMHYNu1Cga9+ufR3MtiS420KZ50UKR0YKQkMruOCoi75hpaknpl/K1H5qbRjH19dfhWazKea4zE79SH4F81OYgY6ESZySQPPym1uw1JDXuQ1LAFSY264vuJwosc1UmNbRLm9FQ43v8JjPWNynVUjCelRhIUaQ6MJCs3Kpw4EShg5WYBa7YLCIzgUN2i3E7NSENH0tBSyIBG7oX5j7UX8Zv1wfjnliQc6WvAoH1hk31JatiDpIYtSGrUFZIaxjC2dcC+6h2YMtMVy9WOJ6RGOkuppcuJ9HwO50N5eQn2riM8QmI5FNzk5H1mlNqplUHbBEqMJpztb8Hrmmz8ZWMsvtIYjhfa0nFYFJlMg06x3eNAUsMeJDVsQVKjrvhMaib7KvDdVxNgcV8DNpx7Yy1u9D/DZz8ZhmD/8j1YT+3zq3k09/I0UiPJTFGFU16ttGKjgM83CLjo7pGRlmCzfHDkk9BrHUe4rhM/bc/Ab9QHyxN+/6klQZ4302IZ8sjBkSQ17EFSwxYkNeqKz6Sm6Xo2MkfcF+5M2UqQnNXjvvJMVCM14r/GLeFBsH/xpt8s31ZiIVIjDS+19TpRWuNEaByHTfsEbNoj4LgoNZk3XKdjK7VTK1rbOKpMVsTouvBpVxH+vDEGv1cfhn9sTsDa7pvINg4qtnsaSGrYg6SGLUhq1BWfSU1jWiLC+90X7vA9abic+WxKjamkVB52Mja1KZb7C48jNdLKJOmQyIAwHtsOCli/S0BgOC+fgN3c6X89MtKmeNKeMW915OGrTXHyMQXfaknG3r5apOsH0GoZUmznCUhq2IOkhi1IatQV382psbTiGy8tx9nSfoyMjkNTFI9/eWUVam3ucg+FeamxTcKo6cXQm9+BOS5SuY4foSQ1Uo9Mv8kJTd8kIq7yWLWZx2frXEuws4vn1vUHpJ17paGjQqMBK7pK5Q3x/mNdEJ5riMRnXcWoMJkV2y0GJDXsQVLDFiQ16oqPJwqPIzk2DscDRWJLMOG+68kwLzXWCViP74Jt5yoYBizKdfyIe6Wmz+BESbUTUYk89p3gsX6ngJOBrt1969vmt1U7zRYH4gd75KGkf2lJxu83hOHrLQmyyEToOtFmGVZst5iQ1LAHSQ1bkNSoKz6WmsUP61JjuRoNx9oPYNBZFcv9DUlqpJVL4Vc5WWK+2CjIe8pk3XCivc+1aZ5SOzWTb9TLPTJ/1RSD/1of7OqR6S5Bhn5AnvA74N7d1xeQ1LAHSQ1bkNSoKyQ1PsRUWgbHm9/1q2MQlJBWJtW3O3Etxymft7R6q4DdRwVEJznR1Ol/hyhKPS6FRiP29tbiW60p8j4yf9YYLS/HDh7QoMs6qtjOF5DUsAdJDVuQ1KgrDErNCDKPlWPUffUk6Sy9CqN7ZfiiS81AM8Kiq6Bd4ORVvW0SN1atQN7ZszCY2PmQ8xTSPJnaFieupEoHR/LYuFvAoTM80nMFVDa6hp6U2qmZTMMAtvZU4dutyfhKQ4R8TMGHHQWI1HXipsl857wlliCpYQ+SGrYgqVFXnlJqbqGnMh3ffmEJvvaD1QjV3KsiTqTt/QKFBjtOPR8N+RAE6w1cDm6QD5p8cMw48XzsPfvXANPOUWxZu1r8Hkvw6sE0zLrvPyilEVvR6V4ufr/UaPIj5ef52+99iL/9vvi6l0chKHA/KnqfQCxEMSkIPInsfiOOvrYCX/v+R/jq9z6Sn39r3vzjDYpTo/B3Ytkbu+JgPbEHts0fYenaDHT7wdb9ksRIq5L6jOKHe5ETOw4J+Hi1gC+38fKcGU2fq95ClnSzjCSl0oTfflFUpLOV/ldzAv6f2gv4t7WB+FHbdfmYAqV2rEFSwx4kNWxBUqOuPJ3UDFVg24l0TAiiZgjDSC43wNanRXFZAbKqOmBpK0LXQDuW/+gQLuTUY3zGge42qyw1VcX5iE3Jl+cU1IlfpcfxbUNiyf1SM4nETXuQ3yuVzWKgvgN9Qzp09YvWMjOFihYtnFMcSoqKEZtWIgrC5B2pMWkqcflKNq7U3j8BdxTJp4OQ3Ou6bmxsRIdhHCV5WQiMzkLEtRKkJhYi8GoJmnSj0OkMiEzIQWBKBTqNd8/S0fW0YdWpMvTdft7uJnzzbPWd8rk4EBybBp11EtfOnEPZ+y/A2NCM6uiTyOhQb0+NdEyBNKn3eh6Hs5ddPTJ7jgny7r7FVdy8Hhm1S410llKeQS+LzCuaLPxBfTj+e2M0XmxPx1FtI0pMJsV2rEJSwx4kNWxBUqOuPJXUjJQGIqhOko27aUi9juByDXoNDjQGf4bsngFs/8kF3OgzQbjVjquX6uG4GYwTWfVo69TCOuGESfza1lmPLW8EQOu8T2omu7BpYz7G3ZdSnA4donPKMTVux6X0Iujqr+Nyrvh83ToMib8QZKnR1GDZlWqU13fhctAp1OrufaPOlZr0q5flnprogD1ILulA4OVgROY2ISkpAcdze3EtOx1JRS1IT8/AueK7G6D1NVdhT57+zvXDpUaH4MhsDIqvsfK9XyIktUDu6dGVhOJ08T3PoRJ6BkWRyXfi4BlePmtp014BkYmu3X2ls5getJeMWqWm2ezAMVFavt2aIi/B/rXaS/Jp2BcH2lBptqKboXkyC4Gkhj1IatiCpEZdebqemr4MbE1uw/Ss+D98VoBefAM0pBahSnwTSGkO+QwF9w4/QSNLTWvIMuTopuQ7M5wVwXu24LWl2/Djnx1Ex+T9PTU2XHw3GN0T0rndtzA5PAbnDIf46zfR2XAdhc1WdGafR0n/Xe2RpKauOBn/8Pom/Pyj7fjFmjMo77n3Q0dZauJDjqJB/LDOz8lCfqsFmvpyHM7pRvDJXXj+va14+cNtWBvffud5JKnZ+9hSY0BwaBKs65egaMnHiO1x3Zek5pQKpEbaEE8aQpJ295U2xVsnioy0Kd7pSzyKq1zDT0rt7kctUtNrG0et2SbPh3mrIxe/UReM360PxddbErGrtwYNZv84PZ2khj1IatiCpEZdeco5NcNIDgzDnmPh2HcsFCeKDApSwyFj825sCsnF8EybLDWT/Tew7XAQ9p2KQEFNGZavkR6HYMk7SlIDDNZlYffxC3L9fQFZcGAWlpocvLc+AjrxWw311Yjlgdh37irqBkddPTWDegRERWPbkVDsDUxFy5xhkIVJTUV5MbYdDcXmQ6GIqLw7lLWw4ScnMvbtwrbnX8GG3ZHodd9jffipc2AS2UUcLogis3W/gO0HeVyO5pFfxqHNLWYLgXWpqTZZcb6/FW9ocvA/m67g90SR+UnbdRzRNsi7+2qtd4cf/QGSGvYgqWELkhp15SmlBpidnYEgTIlMY2b2FmZnZu+8AWZnpsTHrq/C1DRu3ZrFjFh+S/xvakpqMyW2mcWU3N71HFLbaWFmzmTiW9I9d/2p6Rn53lhTGjbnu+bnSOWu57v9GqTnkb7vNIz2cfSbx+7rSZjEoGUcg+57g+IHlTTxU7rnmvA6IZZNio8n5Dkw0td+0xi0plEMiNd3nkeskx94Ctm3T4WW6lmUV7gYKyth//BF9PfoMSB+H/m+rp3ZicK1rU6cC+bw6ZeuCb/HL/Aor3f12Dxur4wSLErNoPh+SNVr8QtRZH6t7hJ+pTYQf9kQg529NfIRBtKqJen9odRW7ZDUsAdJDVuQ1KgrTy01PsmsgNLkKveQ1sPjjSXdodGV85Z011y/jJU7AmRWfbELa157CZaoYFmEbtfJScpHlnZuO1+hEV+HtLtvZAKPHYd4bHQfHHktl5M3xVNq8ySwIDWSpFSbXQdHftFVgq81xeP368Pwzy2JWNldhoTBXr/rkXkQJDXsQVLDFiQ16oo6peYxY3OMoKjK9wdEWg9vg/XgZhj07M3DuFnnxMVITh5akpZfnw7i5MMkm7tcK5uU2jwNvpSaPusYrgz24IOOAnl339+uC8Y/NMdjc3eFvMdMk8Uh99AptfVXSGrYg6SGLUhq1BW/lppBoxVJ2RWKb1SvYBmHOTYc9tXvwmD2/bwZadhI2t23tceJq2k8tuwTsHKTgF1HBKRkih/6XtgQz5tSIwlKu0UUW6MRG3sqRJGJlYeX/qQxEh90FuKavp/JDfG8CUkNe5DUsAVJjbpCUrOImMrKMCQdg5CXM2fYydtIJ2BLPTLRSe7dfaWhpQs8kjI4VDctTo/Mg/CG1EgnYF8d7MWGnnL5mAJpaOkfmq/i084i+eDIOj9ZueQJSGrYg6SGLUhq1BWSmkXEtn4JLOEXYfDR/IzOfifi0jh56fXydQK2HRCQks2hQ+sSmaeZ8PukLKbU1IuysqmnAn/RGI1frQvCr9ddxnsd+UgzDMjnLfny4EhWIalhD5IatiCpUVdIahYDvQPW47th27veq8NO0vBRXau0u68TxwI4rNvp2t03LJ6Tz1uSVi4ptfMmnpQajWUYOYZBHO5rwI9ar+O360LwF00xeKk9A+e0LWi0OBTbEXchqWEPkhq2IKlRV0hqFgFzcjyG3v8xjI3emaTc2u1EQrpraGm9KDJ7j/GIT+NQ1eREt843PTIPwhNSI82R2dFbLa9W+sOGCJFwvNuRj7CBDvngSOkoA6V2xHxIatiDpIYtSGrUFZIaTzNggX3ZqzDn5ymXPyWSoAxYXLJyo9yJo+cFfL6Bx+qtAi5F8ahvV27HCguVGr19En22cbRZhnGxvx3fb0vDv6+9iP9SdxnfaUnBuf4WeZ8ZpbbEoyGpYQ+SGrYgqVFXSGo8Sa8ets3LYA04CoNlTLnOEyLJTFOnExkFTgSE8ti8z7Vq6XIMJ+/uK523pNSONR5XaqT5L4VGA05rm/GqJhv/rTEKf9wQKQ8tHdU2IM949wwu4skhqWEPkhq2IKlRV0hqPIj10hkMrXoHBr1NsfxJkA6GlPaNORrAY9UWAV9slI4p4OQdf7sHXeVK7VjlUVLTaR3Fxf5W/LAtDb9dH4JfrQ3Cd1tScbq/WZ4jI61sUmpHPBkkNexBUsMWJDXqivqlZnoc3dphuA5PmMWIsR/lta3QGEe9KjWmkhIMffoKDI0tiuWPi9Qj097rWoIdEsth0x7XEuwTF3hkF3l3+fVicL/USDv3SqdcR+k68WFnIf64IQq/3+Da3XdTTyUKjIY59QnPQlLDHiQ1bEFSo66oWmqmnaO4dOYQ3jxyE9IRmjPcCGJSriMjtwiHQ4rR4SWpMbZ2wrH8dZjjIp94+ba0MkkaRgoI4+RDIzfuFnAxgnft7tup3EaN3JaaFssQLva34ReaXHy16Yp8Avb32q5hX28t0g0D8hya+9sSnoekhj1IatiCpEZdUX9PzWgrtrqlZszSicTSNvHRNMojohDW5pIao/jGXCwM1gnYDm6G7dAmxfIHIf2wSCKj6eUQGsdh+bopLF87hX0nXCdgK7VRM9KEX61tHGU2E5Z23sDviBLzH+ou4k8bI7G25yZqzFbFdsTicltqlMoI3yBJjdJ9wjeQ1Kgrfi816QVV4i8JYXEYc2Lsaigcq9/FiMmqXOc+zHYB9S1TSMmYxuHTU/JeMicCeVzL4dHZq9xGzWjHxpBh78eOwSp8S5OMrzSG4xstSVjRXYokUy90Y+OK7QjvMOGcwriIUhnhGzhhRvE+4SMmBJIaFcWvpEYYNeFidpXoNBMIC85C9eDiDj8ZK6vgeO9HMBXkP/IYBGmptdQjs2E3j5WbBRw+I82RmURbjxNao3IbNVNsNGFN9035vKXfqA/G/2iMwbruchTbDPLQE+3uywY0/MQeNPzEFtRTo66oWmqmJoZxaO9evPXZXhy53izemUZLVox8fSyzfXEnCveb5eXb5shgxfIevRONGidSc5zYf5LH6i0Cdh8RcCWFk0VGqY2akVYtlZrMOKFtkveSkVYu/XlTDD7sLED8YC+07lVLC92nhlhcSGrYg6SGLUhq1BX199Q8JIsmNXo7bPs2wrZ3LQyGoTv3peXVNS1OxIricuiMNNmXx+FzPBLTOVQ0ONHrhVOwvU2J0YR9vXX4kSgy0j4y/9icgJXdpbgy2INa8/yl7SQ1bEFSwx4kNWxBUqOukNQ8AaasDDje/C6MLRp52Ek6BTu90Imt+3ksXSXgy60CYpJ5+eBIaYk2S8cUeIo4UVq+05qKf1N7QebDjkL5+AK9+PchodRGgqSGLUhq2IOkhi1IatQVkpoFYmxug23VL9EUlYX0Ag5nLrmWX+85xiM4hkNJFSdLjlJbNSPtJRMy0CGvXPofTTH4u+Z4vKPJR3C/Bh3WEcU2SpDUsAVJDXuQ1LAFSY26QlKzALQaPUr2rULAluP44LgOH50xYHeKHqG1g0jq0iFLr0O2wb+I0XXhZ+2Z+LPGaPyZKDPLu4pxTd+POrMNg4+YHK0ESQ1bkNSwB0kNW5DUqCt+LTVWmwPvLfkcP37+p3NobNfOedO29xrx/ocfz6vX3KGbU6+psRNfe+l5PPf9b86lOBDPNUbcJe8snnv+u/PrlVycWy/r1Pw6P/kOnrsZNLfe9RPz673yQzxXfnluvZQj8+u981M8Vxk8t17iofn1lr6G56pD5taL248//v6/4Ks//B6+9eMfi38nL2Lj1p3oN43O+XtJzy2Z93e3Z/8RDFrnrnBKzSjECy/OrXfs1Pk5dSTikzLm1JEIuBQ+r15YTOK8euExCfPqBQZHzat3NTVzXr3T5y7Nq5ch/tnur3fw2Jl59W7crJtXb+e+w/PqVTd2zKkzaBnHpq275tWrbe6aU6/PMIxVazbMq1ff2junXteAFZ98tnJevQe953/ywk9lbteb954Xr//1zXfnPJdEa/fcs7fqWnrx0s9fm1dP+j731qtq6JhX52WxXYfWPKfezZqWefXefOeX6NbNnadVXNEwr95HHy9Hz6BjTr2C0pp59VZ8uR5a49xNHrNvlM+rJ/3/GXji93zBvHrHTgXMqSMRn3z3Pf/CT1+Svyq958NjH+89fzE4cl69q6lZ8+qdPv947/lDCu/5opv18+o9zntetxjv+eUr5tVTes+/9+HSefXuf89L7+XXf/HWnfIPl3yMsbEx96cKhfX4tdRIsY/yc96wT0tFv03eKO5ZodHseKIemQdBPTVsQT017EE9NWxBPTXqCkkN4VVIatiCpIY9SGrYgqRGXSGpIbwKSQ1bkNSwB0kNW5DUqCskNYRXIalhC5Ia9iCpYQuSGnWFpIbwKiQ1bEFSwx4kNWxBUqOukNQQXoWkhi1IatiDpIYtSGrUFZIawquQ1LAFSQ17kNSwBUmNukJSQ3gVkhq2IKlhD5IatiCpUVdIagivQlLDFiQ17EFSwxYkNeoKSQ3hVUhq2IKkhj1IatiCpEZdIakhvApJDVuQ1LAHSQ1bkNSoKyQ1hFchqWELkhr2IKlhC5IadYWkhvAqJDVsQVLDHiQ1bEFSo66Q1BBehaSGLUhq2IOkhi1IatQVkhrCq5DUsAVJDXuQ1LAFSY26QlJDeBWSGrYgqWEPkhq2IKlRV0hqCK9CUsMWJDXsQVLDFiQ16gpJDeFVSGrYgqSGPUhq2IKkRl0hqSG8CkkNW5DUsAdJDVuQ1KgrJDWEVyGpYQuSGvYgqWELkhp1haSG8CokNWxBUsMeJDVsQVKjrpDUEF6FpIYtSGrYg6SGLUhq1BWSGsKrkNSwBUkNe5DUsAVJjbpCUkN4FZIatiCpYQ+SGrYgqVFX/ExqplFzNQDffPlzbIirl++Q1LAFSQ1bkNSwB0kNW5DUqCt+JTX8sAGXc2uAmUnEBqejVyCpYQ2SGrYgqWEPkhq2IKlRV/xKasYsnUgsbRMfTaM8Igp5DkCYmgEnEKwwNT2reJ/wDdLPB08/I0wxNUM/IywxwU2T1KgofiY1XYgvbgFuTaE4PAY3htwFFAqFQqFQ/D5+JTUz/BgSk64iMCwBe0NL4XTfp1AoFAqF4v/xs4nCt8CPj0BvssE+zrvvUSgUCoVCeRbiZ1JzN9OjvTi1dz+WrNqBoIoRzLrvU3yVCSRt/givfXEES9YewbWOYfd9itczaUdGahqiawfly6nhDhzefQBLVm7FlYYx+lnxeqZh1DRgRViW+3oMEeuW4BcrxZ+VzedQOjDuvk/xVozZl/GO+HvqvQ/3IVPPY8rRgr07DmLJii1Ia5sQ//lMYTV+KjUzaE2NQVwfDwgGhJxKgGPaXUTxUVxS8/6WC1gX0wLqR/NhxoyIjb6KyBpJaqZQF3kR6YMCwPcjMiQL4zOuahRvZQra2lJ8cinDfT2GyPUfY+nWC9iTrIH4f4bi5Yz0D4q/scQfifoobL+hRUXgSRSapsQbPbgSXwyBzJ/Z+KnU3F39JL49kXgyGCb6zcBMmoKWIK2L/vXpy5i76pHYKEkNj/wzgbg5It11IPHyVYzQPwC8nxke+1NvuC/upiz4S5TqaHagLzIzbUfQLxOggxPp+0+gbky6a0NibCZ4khpm47c9NR3psYjs4sTf2TpcOpWCIfpF7eM4UdskWyas2fsR1UxL03yZu1IzjeYrQUjt5wGuB+EheZignhrvZ47UTKCxzfXz0Z5xEtk98qcpxYvhBhsRHl+E7lGpT1lAbfBJ5OnFfxk7OxETX4Ypkhpm47dzamacgzi9dRN+9t5aBNdP0jwBn8eGY6+sx88+3IofBxZjjP6p47voyvDi22vxvTc3YE+xETMTWhzaKP6s/HIN4ts4mi/g9Uwi7cgWfPO11fjFF+HQcUbs+7nrZ+Wt8ApM0ieol8Oj6Owm/POr6+T/B3tD6uEc78HOtZvFn5EvkdHF088Iw/FbqaFQKBQKhfJshaSGQqFQKBSKX4SkhkKhUCgUil+EpIZCoVAoFIpfhKSGQqFQKBSKX4SkhkKhUCgUil+EpIZCoVAoFIpfhKSGQqFQKBSKX4SkhkKhUCgUil+EpIZC8fNMaPKxP60TU+LjIUMbggvaXQVjHYi5VIWK5FAsXXsUS2MbITgGsG3PSdf12uswuWpSKBSKKkJSQ6H4e0YasfeLDIzcAjpuRON7OzJlwbGXXsKyyGbx8RACjxyBbnQavEmDn+5Jw6jUrDIUn+25AY72hKdQKCoJSQ2F4vcZQfS+U+gfm0Z11nmcXReBeuc0asJ3IayNE8uVpQaTjTiyLRnjdMAlhUJRSUhqKJRnIPmJ51ClNyI96Dp6i8IQUKnFyc8ioZFPr1eWmq7kXVgV0YBp6qmhUCgqCUkNhfIMpPdmNlLSknA0ph3TxlJ8eSYHH10oxIRcep/UfLgNSzeewLLAMkzK5RQKhaKOkNRQKM9AHNpGrPh8DULbBfHKgmMfr8H6tA5X4YOGnygUCkVlIamhUJ6BTA0N4tPlx3BzxHWdF3wOKRqb+IhH0cX9+MZLn+MbJ0vBmzvx5pEskhoKhaLKkNRQKBQKhULxi5DUUCgUCoVC8YuQ1FAoFAqFQvGLkNRQKBQKhULxi5DUUCgUCoVC8YuQ1FAoFAqFQvGLkNRQKBQKhULxgwD/F6auVMV5+mw5AAAAAElFTkSuQmCC)

![](data:image/png;base64,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)

Figura 3‑19. Ejemplo de Resultados para ProductionLine

Fuente: Elaboración propia.

### Gráficas de Comparación

La librería propuesta permite crear con los métodos plot_scenarios_TH() y plot_scenarios_CT() las gráficas de comparación útiles para evaluar el desempeño de un sistema. En la Figura 3‑20 (a) se observa el throughput (TH) en función de WIP, en verde el mejor caso posible sin variabilidad, el rojo el peor caso con mayor variabilidad, y en azul el Peor Caso práctico con tiempo exponenciales. Un desempeño ubicado entre el PWC y el Best Case se determina como bueno o esbelto (Good o Lean) identificando que el sistema está funcionando con parámetros adecuados. Por otro lado, si el desempeño está bajo el PWC y el Worst Case se determina como malo (Bad – fat), lo cual identifica que el sistema actual no tiene unos parámetros adecuados y se puede establecer estrategias para incrementar el TH con el mismo WIP o disminuir el WIP con el mismo TH.

![A graph with different colored lines

Description automatically generated](data:image/png;base64,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)![A graph of bad and bad

Description automatically generated](data:image/png;base64,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)

_(a) (b)_

Figura 3‑20. Ejemplo de Graficas de Comparación Teóricas _(a)_ Throughput TH, _(b)_ Tiempo de Ciclo CT

Fuente: Elaboración propia.

De manera similar en la Figura 3‑20 (b) se observa el tiempo de ciclo (CT) en función de WIP, en verde el mejor caso posible sin variabilidad, el rojo el peor caso con mayor variabilidad, y en azul el Peor Caso práctico con tiempo exponenciales. El análisis del sistema actual es similar al anterior, en el caso de encontrase en la zona Bad las estrategias posibles pueden ser disminuir el CT con el mismo WIP o aumentar el WIP con el mismo CT.

Estas gráficas son comparaciones en estado estable del sistema, generalmente cuando se tienen datos de varios periodos y se pueden validar mediante estrategias de simulación.
