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A two-stage decomposition method on fresh product distribution problem

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  • Hongtao Hu
  • Ye Zhang
  • Lu Zhen

Abstract

Refrigerator cars are widely used for fresh product distribution. The energy consumption of these vehicles is sensitive to the environment temperature, and changes continuously due to fluctuations of the environment temperature. As a result, the total refrigeration cost is influenced by the car’s departure time. To reduce operation costs of third-party transportation providers, the refrigerator car scheduling problem is addressed in this research. A time-dependent mixed-integer programming model is established to reduce total operation costs, including routing, time penalty, cargo damage and refrigeration costs. An adaptive heuristic method is proposed by combining the variable neighbourhood search and particle swarm optimisation. To improve the algorithm quality, a two-stage decomposition method is developed. The problem is divided into two echelon sub-problems. One is the shortest path problem, and the other is the departure time scheduling problem. A feedback strategy is utilised to avoid local optimal solutions and design of experiments methodology is adopted to derive the optimal parameter setting of the algorithm. Numerical experiments are conducted to demonstrate the effectiveness of the proposed time-dependent decision model.

Suggested Citation

  • Hongtao Hu & Ye Zhang & Lu Zhen, 2017. "A two-stage decomposition method on fresh product distribution problem," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4729-4752, August.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:16:p:4729-4752
    DOI: 10.1080/00207543.2017.1292062
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    Cited by:

    1. Daniel Arturo Olivares Vera & Elias Olivares-Benitez & Eleazar Puente Rivera & Mónica López-Campos & Pablo A. Miranda, 2018. "Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four-Echelon Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-25, April.
    2. Julia Kleineidam, 2020. "Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    3. Aijun Liu & Yaxuan Xiao & Xiaohui Ji & Kai Wang & Sang-Bing Tsai & Hui Lu & Jinshi Cheng & Xinjun Lai & Jiangtao Wang, 2018. "A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    4. Song, Yang & Fan, Tijun & Tang, Yuewu & Xu, Chang, 2021. "Omni-channel strategies for fresh produce with extra losses in-store," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).

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