Title: Optimisation model for simultaneous delivery and pickup vehicle routing problem with time windows

Authors: Mst. Anjuman Ara; Md. Tanvir Ahmed; Nilufa Yeasmin

Addresses: Department of Industrial and Production Engineering, Bangladesh Army University of Science and Technology (BAUST), Saidpur, Nilphamari, Bangladesh ' Department of Industrial and Production Engineering, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh ' Department of Industrial and Production Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur-1707, Bangladesh

Abstract: Simultaneous delivery and pickup vehicle routing problem with time windows constrained is studied to improve the performance of logistics management for transporting goods by determining optimum vehicle routes. In forward supply service, a quantity of product is delivered to each customer and another quantity is picked up from customers as a part of reversed logistics. The objective of this model is to determine the efficient vehicle route under cost optimisation including fixed cost, variable cost and penalty cost for being tardy. This study proposes a hybrid genetic algorithm which incorporates three different heuristics for generating initial solution including sweep algorithm, time oriented heuristics and swap heuristic. In order to evaluate the performance of the proposed hybrid genetic algorithm, a comparison study is made with existing genetic algorithm. The results show that the performance of HGA is superior to that of GA in terms of the total cost consumption of vehicle.

Keywords: cost optimisation; VRPSDP; reverse logistics; hybrid genetic algorithm; HGA; genetic algorithm.

DOI: 10.1504/IJSOM.2022.126812

International Journal of Services and Operations Management, 2022 Vol.43 No.2, pp.145 - 168

Received: 07 Feb 2020
Accepted: 15 Jul 2020
Published online: 08 Nov 2022 *

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