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Solving a Closed-Loop Location-Inventory-Routing Problem with Mixed Quality Defects Returns in E-Commerce by Hybrid Ant Colony Optimization Algorithm

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成果类型:
期刊论文
作者:
Deng, Shuai;Li, Yanhui;Guo, Hao*;Liu, Bailing
通讯作者:
Guo, Hao
作者机构:
[Deng, Shuai; Li, Yanhui; Guo, Hao; Liu, Bailing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Deng, Shuai] Hunan Inst Technol, Sch Econ Management, Hengyang 421001, Peoples R China.
通讯机构:
[Guo, Hao] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Solving;Closed-Loop Location-Inventory-Routing;Mixed Quality Defects Returns
期刊:
Discrete Dynamics in Nature and Society
ISSN:
1026-0226
年:
2016
卷:
2016
期:
Pt.2
页码:
6467812-1-6467812-12
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71171093, 71471073, 71571082]; CCNU from the colleges' basic research and operation of MOEMinistry of Education, Singapore [CCNU14Z02016, CCNU15A02046]
机构署名:
本校为第一且通讯机构
院系归属:
信息管理学院
摘要:
This paper presents a closed-loop location-inventory-routing problem model considering both quality defect returns and nondefect returns in e-commerce supply chain system. The objective is to minimize the total cost produced in both forward and reverse logistics networks. We propose a combined optimization algorithm named hybrid ant colony optimization algorithm (HACO) to address this model that is an NP-hard problem. Our experimental results show that the proposed HACO is...

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