Multi-Objective Dynamic Scheduling for Flexible Job Shops Under Combined Disruptions: A Fuzzy Robust Approach with Human-in-the-Loop CPS
收藏Mendeley Data2026-08-04 收录
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This dataset contains the input data for the eight test cases used in this study to evaluate the DPS and MPS algorithms for the dynamic flexible job shop scheduling problem. For each test case, the dataset includes the number of operations, emergency job arrivals, machine breakdown information, and the parameter settings for α1 and α2. The corresponding machine and equipment characteristics are also provided. These data support the reproducibility of the computational experiments reported in this data file.
本数据集包含本研究中用于评估动态柔性作业车间调度问题(dynamic flexible job shop scheduling problem)下DPS与MPS算法的8个测试用例的输入数据。针对每个测试用例,数据集均涵盖工序数量、应急工单到达情况、机器故障信息以及α₁与α₂的参数设置。同时还提供了对应的机器与设备特性参数。本数据集可为本数据文件中所报告的计算实验的可复现性提供支撑。
创建时间:
2026-07-23



