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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

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  • 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, Hindawi, vol. 2016, pages 1-12, June.
    • Handle: RePEc:hin:jnddns:6467812
    DOI: 10.1155/2016/6467812
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    Cited by:

    1. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    2. Chávez, Marcela María Morales & Sarache, William & Costa, Yasel, 2018. "Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 136-162.

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