ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances

A benchmarking repo with various solution methods to various machine scheduling problems

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Emerging

This project helps operations managers and production planners optimize complex manufacturing schedules. You input your specific job shop, flow shop, or flexible job shop scheduling problem details. It then generates an optimized schedule and visualizes it as a Gantt chart, helping you make better decisions about machine utilization and job sequencing. The end user is typically a researcher or practitioner in manufacturing, logistics, or industrial engineering.

178 stars. No commits in the last 6 months.

Use this if you need to evaluate and compare different machine scheduling algorithms, from traditional heuristics to advanced deep reinforcement learning methods, for various types of production environments.

Not ideal if you are looking for a plug-and-play scheduling solution for immediate shop floor deployment without technical expertise in algorithm implementation.

production-scheduling operations-management manufacturing-optimization industrial-engineering logistics-planning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

178

Forks

38

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 06, 2025

Commits (30d)

0

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