基于粒子群优化的多站点聚合生产计划

Q2 Business, Management and Accounting Journal of Engineering Project and Production Management Pub Date : 2022-01-01 DOI:10.32738/jeppm-2022-0006

A. Wibawa, W. Mahmudy, A. Rizki, G. E. Yuliastuti, I. Tama

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引用次数: 2

摘要

聚合计划是生产过程中的一个关键阶段，因为它支持其他过程。不小心的生产计划可能会导致生产成本急剧飙升，从而在财务上损害公司。本研究探索了粒子群优化（PSO）的新用途，以发现骨料生产计划中多优化问题的目标之间的一组解决方案。该研究以一个校服生产流程复杂的小型家纺行业为案例研究。结果表明，实际数据与所提出的方法之间的生产成本差异为33067万印尼盾。因此，PSO可以通过降低公司生产成本来解决多站点的骨料规划问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-Site Aggregate Production Planning Using Particle Swarm Optimization

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.

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