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Fair allocation and cost-effective routing models for food rescue and redistribution

Author

Listed:
  • Divya J. Nair
  • David Rey
  • Vinayak V. Dixit

Abstract

The not-for-profit food rescue organizations play a vital role in alleviating hunger in many developing and developed countries. They rescue surplus food from the business sector and redistribute to welfare agencies supporting different forms of food relief. Routing and allocation decisions are critical in food rescue operations, in particular when there is a significant gap between supply and demand. However, there is a gap in the literature with regards to models that account for fairness in the allocation of limited rescued food along with efficient routing. We present three objective functions: utilitarian, egalitarian, and deviation-based for efficient and fair food allocation, and present a goal programming–based formulation combining cost-effective routing and allocation objectives to obtain balanced solutions. We propose and implement a heuristic solution algorithm for this food relief logistics problem and report numerical results from realistic food rescue instances.

Suggested Citation

  • Divya J. Nair & David Rey & Vinayak V. Dixit, 2017. "Fair allocation and cost-effective routing models for food rescue and redistribution," IISE Transactions, Taylor & Francis Journals, vol. 49(12), pages 1172-1188, December.
    • Handle: RePEc:taf:uiiexx:v:49:y:2017:i:12:p:1172-1188
    DOI: 10.1080/24725854.2017.1351043
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    References listed on IDEAS

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    Cited by:

    1. Reusken, Meike & Cruijssen, Frans & Fleuren, Hein, 2023. "A food bank supply chain model: Optimizing investments to maximize food assistance," International Journal of Production Economics, Elsevier, vol. 261(C).
    2. Md Hafizul Islam & Julie Simmons Ivy, 2022. "Modeling the role of efficiency for the equitable and effective distribution of donated food," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 485-534, June.
    3. Rey, David & Almi’ani, Khaled & Nair, Divya J., 2018. "Exact and heuristic algorithms for finding envy-free allocations in food rescue pickup and delivery logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 19-46.
    4. Mahmoudi, Monirehalsadat & Shirzad, Khadijeh & Verter, Vedat, 2022. "Decision support models for managing food aid supply chains: A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. Reusken, Meike & Laporte, Gilbert & Rohmer, Sonja U.K. & Cruijssen, Frans, 2024. "Vehicle routing with stochastic demand, service and waiting times — The case of food bank collection problems," European Journal of Operational Research, Elsevier, vol. 317(1), pages 111-127.
    6. Ali Ekici & Okan Örsan Özener, 2020. "Inventory routing for the last mile delivery of humanitarian relief supplies," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 621-660, September.
    7. Haider, Zulqarnain & Hu, Yujie & Charkhgard, Hadi & Himmelgreen, David & Kwon, Changhyun, 2022. "Creating grocery delivery hubs for food deserts at local convenience stores via spatial and temporal consolidation," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    8. Li, Xun & Rey, David & Dixit, Vinayak V., 2018. "An axiomatic characterization of fairness in transport networks: Application to road pricing and spatial equity," Transport Policy, Elsevier, vol. 68(C), pages 142-157.
    9. Ohad Eisenhandler & Michal Tzur, 2019. "A Segment-Based Formulation and a Matheuristic for the Humanitarian Pickup and Distribution Problem," Transportation Science, INFORMS, vol. 53(5), pages 1389-1408, September.

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