Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Vol. 1 No. 2 (2020): December

Algoritme Particle Swarm Optimization (PSO) untuk Optimasi Perencanaan Produksi Agregat Multi-Site pada Industri Tekstil Rumahan

Agung Mustika Rizki (Universitas Pembangunan Nasional "Veteran" Jawa TImur)
Afina Lina Nurlaili (Universitas Pembangunan Nasional "Veteran" Jawa Timur)



Article Info

Publish Date
14 Jan 2021

Abstract

In the industrial world, companies need to manage their production areas well. One way is to implement aggregate production planning. The goal is that the production costs incurred by the company can be controlled properly. However, production planning cannot be formulated quickly. The problem is more complicated if the company has several production locations. The difference in location also affects the production references and standards applied in each location. Based on these problems, the authors propose to apply the Particle Swarm Optimization (PSO) algorithm to solve the problem of aggregate production planning in order to obtain the optimal solution for each production location. As a result, the algorithm proposed by the author can produce optimal and efficient solutions for 6 production sites. This is evidenced by the relatively short time required compared to the previous planning by the company.

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Journal Info

Abbrev

complete

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

COMPLETE (ISSN 2723-4371, E-ISSN 2723-5912) is a national open scientific journals which seeking innovation, creativity, and novelty. Either letters, research notes, articles, supplemental articles, or review articles in the field of Electrical, Computer, and Telecommunication technology. Scope of ...