Authors: Zixia Chen; Zelin Chen; Yujie Geng
Addresses: Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, Zhejiang Province, China ' Westcliff University, Irvine, California, USA ' Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, Zhejiang Province, China
Abstract: The multi-nodes supply chain network composed of suppliers, logistics centres, transfer stations, retailers and other different types of enterprise nodes was taken as the research object in this paper. Starting from the demand-driven of retailers, the mathematical model of third-party logistics centre location problem was established in a multi-nodes supply chain network according to the logical design of bottom-up supply chain network planning. The improved genetic algorithm was adopted to solve the problem and carried out the analysis of an actual case. The empirical analysis results demonstrate that the modelling and the algorithm in a multi-nodes supply chain network are reasonable and effective. The optimal location of different logistics nodes can be obtained, and the corresponding total system cost is the lowest. This paper provides an improved algorithm and technological innovation in the field of logistics location for the multi-nodes supply chain network.
Keywords: multi-nodes supply chain network; 3PL location problem; model and algorithm; empirical analysis.
International Journal of Wireless and Mobile Computing, 2021 Vol.21 No.1, pp.85 - 93
Received: 26 May 2021
Accepted: 15 Jul 2021
Published online: 13 Nov 2021 *