Aji Prasetya Wibawa, Wayan F. Mahmudy, Agung Mustika Rizki, Gusti Eka Yuliastuti, Ishardita Pambudi Tama
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 multioptimization 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. Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).
Electrical Engineering Department, Universitas Negeri Malang, Malang, Indonesia; Computer Science, Faculty of Computer Science, Brawijaya University, Malang, Indonesia; Industrial Engineering, Faculty of Engineering, Brawijaya University, Malang, Indonesia