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A multi-trip vehicle routing problem considering time windows and limited duration under a heterogeneous fleet and parking constraints in cold supply chain logistics

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  • Yin-Yann Chen
  • Tzu-Li Chen
  • Chun-Chih Chiu
  • Yi-Jia Wu

Abstract

Cold supply chain distribution systems ensure the freshness of temperature-sensitive products during transportation. In this study, we investigated a fresh food company’s cold supply chain distribution. Making fresh food available and achieving quality and safety, requires proper planning of vehicle routing, we addressed a routing problem that simultaneously considers time windows, multiple trips per vehicle, a heterogeneous fleet, parking constraints, unloading time at customer position, and limited duration, minimizing related operational costs. We formulate this problem as a mixed-integer programming model. Since this problem is NP-hard, we also propose a genetic algorithm with two adaptive-parameter mechanisms to solve it within a reasonable computational time. Extensive experiments were conducted to assess the performance of different approaches in a real-world application. The results demonstrate that the algorithms are robust and efficient. The proposed algorithms can reduce operational costs by more than 20% compared to the current practical planning approach.

Suggested Citation

  • Yin-Yann Chen & Tzu-Li Chen & Chun-Chih Chiu & Yi-Jia Wu, 2023. "A multi-trip vehicle routing problem considering time windows and limited duration under a heterogeneous fleet and parking constraints in cold supply chain logistics," Transportation Planning and Technology, Taylor & Francis Journals, vol. 46(3), pages 335-358, April.
  • Handle: RePEc:taf:transp:v:46:y:2023:i:3:p:335-358
    DOI: 10.1080/03081060.2023.2188215
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    Cited by:

    1. Shuangli Pan & Huiyu Liao & Guijun Zheng & Qian Huang & Maozhuo Shan, 2024. "Cold Chain Distribution Route Optimization for Mixed Vehicle Types of Fresh Agricultural Products Considering Carbon Emissions: A Study Based on a Survey in China," Sustainability, MDPI, vol. 16(18), pages 1-22, September.

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