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Research on Distribution Optimization of Emergency Perishable Materials Considering Periodic Changes in Freshness

Author

Listed:
  • Zichun Zhang

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Yang Xu

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Xiaodong Li

    (College of Economics and Management, Xi’an Technological University, Xi’an 710021, China)

  • Kin-Keung Lai

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Yan Li

    (School of Business Administration, Xi’an Eurasia University, Xi’an 710065, China)

Abstract

The distribution of emergency perishable materials is crucial for rescue operations in disaster-stricken areas. However, the freshness of these materials changes over time, affecting the quantity of materials that can be distributed to demand points at different stages. To address this issue, this paper proposes a novel approach. Firstly, a piecewise function is constructed to describe the impact of freshness on the quality and quantity of emergency perishable materials at different time stages. Secondly, the paper establishes a vehicle distribution optimization model with the goal of maximizing the sum of the freshness of all emergency perishable materials delivered to different disaster-affected locations, taking into account the different minimum freshness constraints for the same kind of materials in different locations. Thirdly, an approximate algorithm is designed to solve the model, with the time complexity and the upper and lower bounds of the approximate ratio analyzed. Finally, an example analysis is conducted to demonstrate the validity of the proposed model and algorithm.

Suggested Citation

  • Zichun Zhang & Yang Xu & Xiaodong Li & Kin-Keung Lai & Yan Li, 2023. "Research on Distribution Optimization of Emergency Perishable Materials Considering Periodic Changes in Freshness," Mathematics, MDPI, vol. 11(9), pages 1-15, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2067-:d:1133901
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    References listed on IDEAS

    as
    1. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    2. Shiva Zandkarimkhani & Hassan Mina & Mehdi Biuki & Kannan Govindan, 2020. "A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design," Annals of Operations Research, Springer, vol. 295(1), pages 425-452, December.
    3. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    4. Stellingwerf, Helena M. & Groeneveld, Leendert H.C. & Laporte, Gilbert & Kanellopoulos, Argyris & Bloemhof, Jacqueline M. & Behdani, Behzad, 2021. "The quality-driven vehicle routing problem: Model and application to a case of cooperative logistics," International Journal of Production Economics, Elsevier, vol. 231(C).
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