Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm
收藏DataCite Commons2022-07-14 更新2025-04-16 收录
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https://dataverse.telkomuniversity.ac.id/citation?persistentId=doi:10.34820/FK2/APKG5I
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资源简介：
This 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 models
提供机构：
Telkom University Dataverse
创建时间：
2022-07-14
