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

被引：9

作者：

Shu, Bo ^{[1
]}

Pei, Fanghua ^{[2
]}

Zheng, Kaifu ^{[2
]}

Yu, Mengxia ^{[2
]}

机构：

[1] Yanshan Univ, Reg Econ Dev Res Ctr, Qinhuangdao, Hebei, Peoples R China

[2] Yanshan Univ, Econ & Management Sch, Qinhuangdao 066004, Hebei, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2021年 / 41卷 / 04期

关键词：

Supermarket chain; Satellite Warehouse; cold chain logistics; LIRP; INVENTORY-ROUTING PROBLEM; HEURISTIC METHOD;

D O I：

10.3233/JIFS-189968

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：4825 / 4839

页数：15

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