ai-for-decision-making-tue / Job_Shop_Scheduling_Benchmark_Environments_and_Instances
A benchmarking repo with various solution methods to various machine scheduling problems
Why this job: matched by what the repo talks about: benchmark, machine, solution, method
What it does
This repository provides a comprehensive benchmarking environment for a variety of machine scheduling problems, including Job Shop Scheduling (JSP), Flow Shop Scheduling (FSP), Flexible Job Shop Scheduling (FJSP), FJSP with Assembly constraints (FAJSP), FJSP with Sequence-Dependent Setup Times (FJSP-SDST), and the online FJSP (with online job arrivals). It aims to be a centralized hub for researchers, practitioners, and enthusiasts interested in tackling machine scheduling challenges.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 47 days ago
- Stars
- 219
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 52% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 34 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 52%
- Python 48%
Topics
- assembly
- benchmarking
- combinatorial-optimization
- deep-reinforcement-learning
- fjsp
- flexible-job-shop-scheduling
- job-shop-scheduling
- jsp
- machine-learning
- python
- setup-times
Project record
- JobEvals and observability
- StatusListed
- Commits106
- Forks47
- Watching4
- Stars in 28 days+7
- CreatedAug 23, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026