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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

Author

Listed:
  • Shuai Deng
  • Yanhui Li
  • Hao Guo
  • Bailing Liu

Abstract

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.

Suggested Citation

  • Shuai Deng & Yanhui Li & Hao Guo & Bailing Liu, 2016. "Solving a Closed‐Loop Location‐Inventory‐Routing Problem with Mixed Quality Defects Returns in E‐Commerce by Hybrid Ant Colony Optimization Algorithm," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:6467812
    DOI: 10.1155/2016/6467812
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    References listed on IDEAS

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