Metadata-Version: 2.5
Name: daysofcover
Version: 0.0.1
Summary: Supply chain stress test: how long can you keep shipping if a supplier, port or route goes down, and what is the cheapest fix.
Project-URL: Homepage, https://github.com/NathanTaylorOps/DaysofCover
Project-URL: Repository, https://github.com/NathanTaylorOps/DaysofCover
Project-URL: Issues, https://github.com/NathanTaylorOps/DaysofCover/issues
Author: Nathan Taylor
License-Expression: MIT
License-File: LICENSE
Keywords: resilience,simulation,stress-test,supply-chain,time-to-recover,time-to-survive
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Manufacturing
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Typing :: Typed
Requires-Python: >=3.12
Requires-Dist: fastapi>=0.115
Requires-Dist: numpy>=2.1
Requires-Dist: pydantic>=2.9
Requires-Dist: typer>=0.12
Requires-Dist: uvicorn>=0.32
Description-Content-Type: text/markdown

# Days of Cover

Supply chain stress test: how long can you keep shipping if a supplier, port or route goes down, and what is the cheapest fix.

Days of Cover simulates a multi-tier supply network under disruption and answers the question a general manager actually asks: if this supplier, port or route goes down for N weeks, how long before we miss customer orders, what does it cost, and what is the cheapest way to make that not happen. It is built on the time-to-survive and time-to-recover method (Simchi-Levi et al., 2015), with a discrete-event simulation as the source of truth for every dollar it reports.

This is the first commit. The engine, validation suite and hosted demo follow; each release tag carries a README that describes exactly what exists at that tag.

Built with AI-assisted development.

## Licence

MIT. See [LICENSE](LICENSE).
