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Muhammad Ali
School of Management, University of Western Sydney, Penrith South DC, Australia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Completion of FCVRP using Hybrid Particle Swarm Optimization Algorithm Muhammad Ali; Baiq Nurul Izzah Farida
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.914 KB) | DOI: 10.22219/JTIUMM.Vol22.No1.98-112

Abstract

The issue of green logistics has received full attention from the government and business people. It is closely related to the increase in Green House Gas (GHG) by transportation activities in the logistics sector. Controlling fuel consumption in transportation activities is fundamental in dealing with GHG. Therefore, the Fuel Consumption Vehicle Routing Problem (FCVRP) is proposed as a solution model in optimizing fuel consumption in the logistics sector. This study aims to develop a Hybrid Particle Swarm Optimization (HPSO) algorithm to solve the FCVRP problem. The proposed algorithm is the development of the PSO algorithm with local procedures search. Several experiments were carried out to determine the HPSO parameter's effect on minimizing fuel consumption in the FCVRP. The experiment results show that increasing the population and iteration parameters can produce minimum fuel consumption. Furthermore, the smaller the total fuel consumption produced when the kilometers per liter (KPL) high.
Co-Authors Baiq Nurul Izzah Farida