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Forward and reverse logistics vehicle routing problems with time horizons in B2C e-commerce logistics

Author

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  • Mengdi Zhang
  • Saurabh Pratap
  • Zhiheng Zhao
  • D. Prajapati
  • George Q. Huang

Abstract

This research addresses a vehicle routing problem with simultaneous pickup and delivery with time windows from multiple depots (MVRPSPDTW) over a time horizon in the B2C e-commerce logistics system. We consider an e-commerce logistics system with a multi-period, which consists of customers, logistics service providers (LSPs), suppliers, and a decision-making platform. A mixed-integer non-linear programming (MINLP) model is developed and tested on small- and large-scale instances. To handle more realistic large-scale problems, we have used two approaches (i) exact optimisation approach using (i.e. CPLEX tool) and metaheuristic algorithms (i.e. Differential Evolutionary Algorithm (DE), Parallel Differential Evolutionary Algorithm (Par-DE), Genetic Algorithm (GA), and Block-based Genetic Algorithm (BBGA)) to minimise the total transportation cost and penalty due to the delay by logistics service providers. The computation experiment is conducted on the real practical scenario data and the comparative result is demonstrated.

Suggested Citation

  • Mengdi Zhang & Saurabh Pratap & Zhiheng Zhao & D. Prajapati & George Q. Huang, 2021. "Forward and reverse logistics vehicle routing problems with time horizons in B2C e-commerce logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 59(20), pages 6291-6310, October.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:20:p:6291-6310
    DOI: 10.1080/00207543.2020.1812749
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    Cited by:

    1. Yaping Ren & Xinyu Lu & Hongfei Guo & Zhaokang Xie & Haoyang Zhang & Chaoyong Zhang, 2023. "A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products," Mathematics, MDPI, vol. 11(2), pages 1-24, January.
    2. Vijay Prakash Sharma & Surya Prakash & Ranbir Singh, 2022. "What Prevents Sustainable Last-Mile Delivery in Industry 4.0? An Analysis and Decision Framework," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    3. Lynn Huang, 2024. "Evolving E-commerce Logistics Planning- Integrating Embedded Technology and Ant Colony Algorithm for Enhanced Efficiency," Papers 2402.15965, arXiv.org.

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