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Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

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DataCite Commons2020-11-28 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Scenario-Based_Robust_Remanufacturing_Scheduling_Problem_Using_Improved_Biogeography-Based_Optimization_Algorithm/13298021/1
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This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.

本数据集为论文《基于改进生物地理学优化算法(Improved Biogeography-Based Optimization Algorithm)的场景鲁棒再制造调度问题》的实验数据。所有数据均通过计算机仿真生成,并以CSV格式存储。第一个文件夹“1.SRRSP基准测试算例集”包含21个SRRSP基准测试算例;第二个文件夹“2.用于验证多场景考量实用性的补充数据”收录了用以论证多场景考量可行性所需的补充数据;第三个文件夹“3.用于验证可变启动批量约束实用性的补充数据”则包含了验证可变启动批量约束可行性所需的补充数据。本数据集涵盖场景数量、再制造任务数、单任务工序数、再制造设备数、批量加工设备的最大批量尺寸与最小批量尺寸。此外,数据集还包含方差因子数值、各场景发生概率、批量加工设备索引、批量加工工序索引、各再制造任务的到达时间、各工序可用设备集合,以及各工序在对应可用设备上的加工时长。第四个文件夹“4.各算例中各场景下报废产品(End-of-Life, EOL)到达时间与加工时长生成标准”收录了用于生成各算例中各场景下报废产品到达时间与加工时长的标准。
提供机构:
figshare
创建时间:
2020-11-28
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