Turnitin-IJIO 2020_Optimizing shipping routes to minimize cost using particle swarm optimization

Asih, Hayati Mukti (2020) Turnitin-IJIO 2020_Optimizing shipping routes to minimize cost using particle swarm optimization. International Journal of Industrial Optimization (IJIO), 1 (1). ISSN ISSN: 2714-6006, e-ISSN: 2723-3022

Text CCP-IJIO 2020.pdf Download (1MB)

Abstract

Product shipping is important in the economic process in the company. Efficient product shipping routes should provide low transportation costs.This study based on a case company ofCV. Kayana, a distributor of “Sari Roti”, has 4 motorbikes and 2 cars. Each vehicle has their own shipping routes.Nowadays, high distance for each route results on high transportation cost. Therefore, the objective of this study to minimize the distance and cost of product shipping by developing shipping algorithm using Particle Swarm Optimization (PSO) for Traveling Salesman Problem (TSP). The MATLAB software was employed tosolve this problem. The solution is obtained by varying the amount of particles and number of iterations. Experimental results proved that the developed PSO is enough effective and efficient to solve shipping routes problem. The results show the proposed model have lower distance and transportation cost. It helpsthecompany in determining the routes for product shipping with minimum transportation cost.

Item Type:	Artikel Umum
Subjects:	A General Works > AC Collections. Series. Collected works
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Industrial Engineering (S1-Teknik Industri)
Depositing User:	Ph.D. Hayati Mukti Asih
Date Deposited:	27 Mar 2023 04:53
Last Modified:	27 Mar 2023 04:53
URI:	http://eprints.uad.ac.id/id/eprint/41634

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