Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithmhttps://doi.org/10.34820/FK2/APKG5IPurba Daru KusumaTelkom University Dataverse2022-07-142022-07-14T11:17:31ZThis 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 modelsComputer and Information SciencePurba 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.DARU KUSUMA, PURBA2022-07-14CC0CC0 Waiver