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All Journal Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Nurlaili , Afina Lina
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Algoritme Particle Swarm Optimization (PSO) untuk Optimasi Perencanaan Produksi Agregat Multi-Site pada Industri Tekstil Rumahan Rizki, Agung Mustika; Nurlaili , Afina Lina
Journal of Computer Electronic and Telecommunication Vol. 1 No. 2 (2020): December
Publisher : Institut Teknologi Telkom Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.73

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.
Co-Authors Agung Mustika Rizki, Agung Mustika