Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic algorithm

This is the experimental data and codes of the manuscript entitled "Energy-efficient bi-objective manufacturing scheduling with intermediate buffers using a three-stage genetic 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 five instances for these experiments, which cover multiple scales. Three attributes including time, energy and quality of services for achieving corresponding subtasks are shown in datasets.