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Optimizing the Capacitated Vehicle Routing Problem at PQR Company: A Genetic Algorithm and Grey Wolf Optimizer Approach.

Authors :
Arifuddin, Akhdan
Utamima, Amalia
Mahananto, Faizal
Vinarti, Retno Aulia
Fernanda, Nita
Source :
Procedia Computer Science; 2024, Vol. 234, p420-427, 8p
Publication Year :
2024

Abstract

Product distribution for companies in the industrial sector is an important issue as it is necessary to increase customer satisfaction and reduce costs. In this study, Nondominated-Sorting Genetic Algorithm II is used to solve Capacitated Vehicle Routing Problem in a case study dataset from the biggest fertilizer company in Indonesia. NSGA-II algorithm reduced the need for vehicles in product distribution with an advantage of 44.7%, while GWO algorithm yielded better results with an increase of time of 16.9%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
234
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
176900801
Full Text :
https://doi.org/10.1016/j.procs.2024.03.023