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A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment

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成果类型:
期刊论文
作者:
Li, Yanhui;Guo, Hao;Wang, Lin*;Fu, Jing
通讯作者:
Wang, Lin
作者机构:
[Li, Yanhui; Guo, Hao; Fu, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Wang, Lin] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.
[Fu, Jing] SUNY Buffalo, Dept Ind & Syst Engn, Buffalo, NY 14228 USA.
通讯机构:
[Wang, Lin] H
Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.
语种:
英文
期刊:
The Scientific World Journal
ISSN:
2356-6140
年:
2013
卷:
2013
页码:
125893-null
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [70871050, 71171093, 71371080, 71131004, 70801030]
机构署名:
本校为第一机构
院系归属:
信息管理学院
摘要:
Facility location, inventory control, and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business. Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business. Many of returned merchandise have no quality defects, which can reenter sales channels just after a simple repackaging process. Focusing on the existing problem in e-commerce logistics system, we formulate a location-inventory-routing problem model with no quality defects returns. To solve this NP-hard problem, an effective hybrid gen...

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