Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithmdoi:10.34820/FK2/APKG5ITelkom University Dataverse2022-07-141Purba Daru Kusuma, 2022, "Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm", https://doi.org/10.34820/FK2/APKG5I, Telkom University Dataverse, V1Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithmdoi:10.34820/FK2/APKG5IPurba Daru KusumaTelkom University DataverseDARU KUSUMA, PURBADARU KUSUMA, PURBA2022-07-14Computer and Information ScienceThis work aims to develop a novel batch scheduling model for a collaborative multi-product flow shop system. Its objective is to minimize make-span and total production cost. This model is developed by using non-dominated sorting genetic algorithm (NSGA II) which is proven in many multi objective optimization modelsCC0 WaiverPurba Daru Kusuma, "Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm", International Journal of Advanced Computer Science and Applications, 12(9), 349-357, 2021.Paper_39-Multi_objective_Batch_Scheduling.pdfapplication/pdf