文章基本信息

标题：Multi-Site Aggregate Production Planning Using Particle Swarm Optimization
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作者：Aji Prasetya Wibawa ; Aji Prasetya Wibawa ; Wayan F.Mahmudy 等
期刊名称：Journal of Engineering, Project, and Production Management
印刷版ISSN：2221-6529
电子版ISSN：2223-8379
出版年度：2022
卷号：12
期号：1
页码：62-69
DOI：10.32738/JEPPM-2022-0006
语种：English
出版社：Association of Engineering, Project, and Production Management
摘要：Aggregate planning is a crucial stage in the production process because it supports other processes. Careless production planning may cause production costs to spike sharply that hurts the company financially. This study explores the novel usage of particle swarm optimization (PSO) to discover a set of solutions among the objective of a multi-optimization problem in aggregate production planning. The study uses a small home textile industry with complex production processes of school uniforms as a case study. The results show that the production cost difference between actual data and the proposed method is IDR330,670,000. Thus, PSO can solve the multi-site aggregate planning by reducing the company production cost.
关键词：Multi-site aggregate;particle swarm optimization (PSO);production planning;optimization