Variable Neighborhood Descent for Multi-Compartment and Multi-Objective Vehicle Routing Problem in Refined Product Distribution

Xuping Wang, Wenping Fan, Hongxin Zhan () and Zilai Sun ()
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Xuping Wang: School of Economics and Management, Dalian University of Technology, Dalian 116024, P. R. China2School of Business, Dalian University of Technology, Panjin 124221, P. R. China
Wenping Fan: School of Economics and Management, Dalian University of Technology, Dalian 116024, P. R. China
Hongxin Zhan: School of Economics and Management, Dalian University of Technology, Dalian 116024, P. R. China
Zilai Sun: School of Economics and Management, Dalian University of Technology, Dalian 116024, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2022, vol. 39, issue 02, 1-32

Abstract: Refined product distribution is an application of the Multi-compartment Vehicle Routing Problem (MCVRP), which simultaneously considers the vehicle routing, the assignment of heterogonous vehicles and loading policies of multi-compartment. First, we develop an optimization model with the objective of delivering on-time and minimizing transportation cost. Then we propose a Multi-objective Variable Neighborhood Descent Algorithm (MOVND), where the 𠜀-constraint method transforms the original problem into a series of sub-problems of single objective with constraints. Finally, the efficiency of the proposed algorithm is verified by conducting a large number of small and large instances. Mainly including (i) compared with the classical NSGA-2 algorithm for multi-objective VRP, MOVND provides better performance in terms of convergence, spread and distribution; (ii) the multi-compartment vehicles are able to carry a variety of products simultaneously, which can improve the effective utilization of vehicle space and meet the needs of different customers in a single transportation. In addition, heterogonous vehicles that take full advantage of the characteristics of different vehicles are superior to homogeneous ones in terms of operating cost in the practice of the refined product distribution.

Keywords: Refined product distribution; MCVRP; multi-objective optimization; MOVND; 𠜀-constraint method (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0217595921500196

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