The efficient routing approach of a vehicle under the vehicle routing problem with simultaneous delivery and pickup for reducing the fuel consumption and pollutants emission. (8th August 2022)

• Record Type: Journal Article
• Authors: Yeasmin, Nilufa; Parveen, Sultana
• Is Part Of: International journal of industrial and systems engineering. Volume 41:Number 4(2022)
• Page Start: 502
• Page End: 518
• Publication Date: 2022-08-08
• Subjects: fuel optimisation -- vehicle routing problem with simultaneous delivery and pick up -- genetic algorithm -- swap mutation and inverse mutation -- reverse logistics; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

Abstract

The vehicle routing problem with simultaneous delivery and pickup (VRPSDP) has received significant attention in logistics operations to minimise the travelling distance or travelling time. However, little is known regarding the VRPSDP in logistics operations which is used to reduce the emission of CO2 in the environment (i.e., critical requirements of green logistics). Our study proposes the fuel-optimisation model for the vehicle under VRPSDP referred to as an eco-friendly VRPSDP model. This model aims to determine the efficient vehicle route that will reduce the vehicle's fuel consumption as well as decrease the negative impact on the environment. The genetic algorithm (GA) is applied to solve the proposed fuel optimisation model. Here, two types of genetic mutation operator, i.e. swap and inverse are used to find out which one would give the optimum results regarding fuel consumption. The computational tests show that that the inverse mutation performs better than the swap mutation and saves the fuel consumption of 4.1% over the swap mutation.