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Home Page: https://github.com/PyJobShop/FJSPLIB
License: MIT License
Python package to read and write instances for the flexible job shop problem.
Home Page: https://github.com/PyJobShop/FJSPLIB
License: MIT License
This issues discusses how to include setup times in the FJSPLIB format.
FJSPLIB
https://people.idsia.ch/~monaldo/fjsp.html#ProblemInstances
New instances (?)
https://github.com/ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances
https://github.com/SchedulingLab/fjsp-instances
Da Col, G., & Teppan, E. C. (2022). Industrial-size job shop scheduling with constraint programming. Operations Research Perspectives, 9, 100249. https://doi.org/10.1016/j.orp.2022.100249
Job shop instances
Dauzère-Pérès, S., Ding, J., Shen, L., & Tamssaouet, K. (2023). The flexible job shop scheduling problem: A review. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2023.05.017
contains an overview of benchmark instances.
There are several sets of FJSP benchmark instances that are widely used in the literature:
34 BRdata (Brandimarte, 1993), HUdata (Hurink et al., 1994), BCdata (Barnes and Chambers,
35 1996), DPdata (Dauzere-P ́er
es and Paulli, 1997), DMUdata (Demirkol et al., 1998), KCdata
36 (Kacem et al., 2002a), Fdata (Fattahi et al., 2007), DAdata (Birgin et al., 2015), as well as
37 Ydata (Birgin et al., 2015), leading to a total of 467 instances of different sizes and with
38 different flexibility levels.
Test Instances for the Flexible Job Shop Scheduling Problem with Work Centers
Dennis Behnke1,∗ and Martin Josef Geiger1
also contains a benchmark set.
Lunadi 2020: online color printing instances
https://github.com/Willtl/online-printing-shop/tree/master
Naderi, B., & Roshanaei, V. (2022). Critical-Path-Search Logic-Based Benders Decomposition Approaches for Flexible Job Shop Scheduling. INFORMS Journal on Optimization, 4(1), 1–28. https://doi.org/10.1287/ijoo.2021.0056
Morais, R., Bulhões, T., & Subramanian, A. (2023). Exact and heuristic algorithms for minimizing the makespan on a single machine scheduling problem with sequence-dependent setup times and release dates. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2023.11.024
This issue discusses how to include arbitrary precedence graph data in the FJSPLIB format.
FJSPLIB traditionally uses zero-based indexing. Do we want to adhere to this choice or switch to one-based indexing like https://github.com/SchedulingLab/fjsp-instances did?
I want to convert job shop scheduling instances in FJSPLIB format for benchmarking. That should be relatively easy to do.
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