Open AccessAlgoritme Particle Swarm Optimization (PSO) untuk Optimasi Perencanaan Produksi Agregat Multi-Site pada Industri Tekstil Rumahan
Author(s) -
Agung Mustika Rizki,
Afina Liurlaili
Publication year - 2021
Publication title -
journal of computer, electronic, and telecommunication
Language(s) - English
Resource type - Journals
eISSN - 2723-5912
pISSN - 2723-4371
DOI - 10.52435/complete.v1i2.73
Subject(s) - particle swarm optimization , production (economics) , aggregate (composite) , production planning , mathematical optimization , aggregate planning , computer science , order (exchange) , operations research , industrial engineering , engineering , mathematics , business , economics , microeconomics , materials science , finance , composite material
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.