A two-phase method for multi-echelon location-routing problems in supply chains

被引：37

作者：

Dai, Zhuo ^{[1
]}

Aqlan, Faisal ^{[2
]}

Gao, Kuo ^{[3
]}

Zhou, Yefu ^{[3
]}

机构：

[1] Jiu Jiang Univ, Sch Elect Commerce, 551 Qianjin East Rd, Jiu Jiang City 332005, Jiangxi, Peoples R China

[2] Penn State Univ, Dept Ind Engn, Behrend Coll Erie, Erie, PA 16563 USA

[3] Jiujiang Univ, Sch Econ & Management, 551 Qianjin East Rd, Jiu Jiang City 332005, Jiangxi, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2019年 / 115卷

基金：

中国国家自然科学基金;

关键词：

A two-phase method; Location-routing problems; Multi-echelon; Supply chains; LARGE NEIGHBORHOOD SEARCH; CROSS-DOCKING; GENETIC ALGORITHM; DEPOT LOCATION; 2-ECHELON; MODEL; OPTIMIZATION; LOGISTICS; INVENTORY; MANAGEMENT;

D O I：

10.1016/j.eswa.2018.06.050

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The multi-echelon location-routing problems (LRPs) arise from transportation applications such as distribution systems of supply chains in city logistics. The literature review shows that most of the previous studies on location-routing in supply chains involve two-echelon LRPs. The main objective of this study is to develop a two-phase method based on improved Clarke and Wright savings algorithm for three echelon and four-echelon LRPs. Computational experiments show that compared with other methods, the proposed method can obtain the solution for two LRPs in a shorter time. Moreover, computational experiments show this method can solve three and four location-routing problems in reasonable time. The study also provides managerial insights on the proposed models and method. Finally, the limitations on models and method as well as future research directions are given. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：618 / 634

页数：17

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