Endosymbiotic Evolutionary Algorithm for an Integrated Model of the Vehicle Routing and Truck Scheduling Problem with a Cross-Docking System

Article type: Research Article

Authors: Lee, Kun-Young | Lim, Ji-Soo | Ko, Sung-Seok^{; *}

Affiliations: Department of Industrial Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, South Korea. E-mail: ssko@konkuk.ac.kr

Correspondence: [*] Correspoding author.

Abstract: This paper presents a model which integrates inbound and outbound logistics with a crossdocking system. This model integrates the problem of routing inbound vehicles between suppliers and cross-docks and outbound vehicles between cross-docks and retailers, considering logistics costs and the products properties. This model aims to minimize the total cost by optimizing assignment of products to suppliers and retailers and operations of inbound and outbound vehicles. We developed an endosymbiotic evolutionary algorithm, which yields good performance in concurrent searches for the solutions of multiple subproblems and validate the performance using several numerical examples.

Keywords: logistics, cross-docking, vehicle routing, truck scheduling, endosymbiotic evolutionary algorithm

Journal: Informatica, vol. 30, no. 3, pp. 481-502, 2019