A benchmark dataset for multi-objective flexible job shop cell scheduling

Published: 14 August 2023| Version 1 | DOI: 10.17632/rtzby7pv7m.1


This dataset is motivated by the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment, as presented in [1]. The dataset is elucidated in a corresponding data article intended for publication in 'Data in Brief'. This dataset includes a set of synthetically generated problem instances for the FJCS-SDFSTs-ITTs benchmark problem with various characteristics. These problem instances can be used by researchers to compare the performance of heuristic and meta-heuristic solution strategies. The data article provides details about the naming of the instances and solutions, the instance generation procedure, the heuristic methods used for computing the solutions, and the mathematical problem formulation. [1] Deliktaş, D., Özcan, E., Ustun, O., Torkul, O., (2021). Evolutionary algorithms for multi-objective flexible job shop cell scheduling, Applied Soft Computing 113(A), 107890. https://doi.org/10.1016/j.asoc.2021.107890.



Dumlupinar Universitesi


Operations Research, Job Shop Scheduling, Benchmarking