ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances
A benchmarking repo with various solution methods to various machine scheduling problems
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.
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178
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38
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 06, 2025
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