Dataset for parallel flow-shop schedulinghttps://doi.org/10.34820/FK2/0S67CTDARU KUSUMA, PURBATelkom University Dataverse2022-09-292022-09-29T02:19:33ZThis data consists of 40 jobs. Each job will be processed in four stages. The average processing time of each stage is 5 unit time and follows normal distribution. Each data consists of five attributes: job id, stage 1 processing time, stage 2 processing time, stage 3 processing time, and stage 4 processing time. This data is simulation generated data. There are 30 trials. This data contains 1,200 rows.Engineeringoptimization, operations research, flow-shopP. D. Kusuma and A. S. Albana, A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time, International Journal of Intelligent Engineering and Systems, 14(6), 2021.DARU KUSUMA, PURBA2022-09-29CC0CC0 Waiver