Robust Remanufacturing Job Shop Scheduling under Carbon Regulatory Policies using Modified Particle Swarm Optimization Algorithm

This is the experimental data of the manuscript entitled "Robust Remanufacturing Job Shop Scheduling under Carbon Regulatory Policies using Modified Particle Swarm Optimization Algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twenty-three instances for these experiments with various scales. The information of the datasets are shown in the csv document, including the number of jobs, the number of operations for each job, arrival time and processing time for each job, power consumption for each machine in the processing and idle state, electrical energy consumption to turn on and off a machine.本数据集为题为《碳监管政策下基于改进粒子群优化算法(Particle Swarm Optimization Algorithm)的稳健再制造车间调度》的学术论文的配套实验数据。所有数据均通过计算机仿真生成，并以逗号分隔值（CSV）格式存储。该数据集基于真实工业场景搭建仿真模型所得，本次实验共包含23个不同规模的测试实例。数据集中的各项信息均收录于该CSV文件中，具体涵盖工件总数、每个工件的工序数量、各工件的到达时间与加工时长、每台机器在加工与待机状态下的功耗，以及机器启停时的电能消耗量。