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Discrete Dynamics in Nature and Society
Volume 2016 (2016), Article ID 6467812, 12 pages
Research Article

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

1School of Information Management, Central China Normal University, Wuhan 430079, China
2School of Economic Management, Hunan Institute of Technology, Hengyang 421001, China

Received 27 November 2015; Revised 9 March 2016; Accepted 19 May 2016

Academic Editor: Yourim Yoon

Copyright © 2016 Shuai Deng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 considerably efficient and effective in solving this model.