LIRP optimization of cold chain logistics in satellite warehouse mode of supermarket chains

Issue title: Fuzzy logic systems for transportation engineering

Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi

Article type: Research Article

Authors: Shu, Bo^a | Pei, Fanghua^{b; *} | Zheng, Kaifu^b | Yu, Mengxia^b

Affiliations: [a] Regional Economic Development Research Center, Yanshan University, Qinhuangdao, P.R. China | [b] Economics and Management School, Yanshan University, Qinhuangdao, P.R. China

Correspondence: [*] Corresponding author. Fanghua Pei, Economics and Management School, Yanshan University, Qinhuangdao 066004, P.R. China. Tel.: +86 173 3634 3942; Fax: +86 335 805 7025; E-mail: [email protected].

Abstract: Aiming at the problem of high cost in cold chain logistics of fresh products home-delivery in supermarket chain in the new retail era, the paper constructs the model of Location Inventory Routing Problem (LIRP) optimization in Satellite Warehouse mode in view of customer satisfaction with the broken line soft time windows. The model minimizes the total cost of the cold chain logistics system of supermarket chain through the location allocation, inventory optimization, the determination of distribution service relationship between Satellite Warehouse and customer, and the constraint of time penalty cost. Then, the paper designed an improved ant colony optimization to solve the LIRP model of supermarket chain. Finally, the simulation in MATLAB verifies and analyzes the validity of the model and algorithm. Therefore, LIRP optimization model in Satellite Warehouse mode can effectively improve the operational efficiency of fresh products home-delivery in the supermarket chain and thus reduce the logistics cost.

Keywords: Supermarket chain, Satellite Warehouse, cold chain logistics, LIRP

DOI: 10.3233/JIFS-189968

Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4825-4839, 2021