IDEAS home Printed from https://ideas.repec.org/a/spr/gjofsm/v25y2024i4d10.1007_s40171-024-00417-9.html
   My bibliography  Save this article

Designing Flexible Public Food Distribution Systems for Resilience, Equity, and Losses Under Pandemic Disruptions

Author

Listed:
  • Harpreet Kaur

    (Indian Institute of Management Amritsar)

  • Mahima Gupta

    (Indian Institute of Management Amritsar)

Abstract

Disruptions in the global food supply caused by the COVID-19 pandemic and geopolitical tensions have exposed significant vulnerabilities in food distribution systems. Designing resilient food supply chain (FSC) networks that have the flexibility to react swiftly to disruptions while ensuring fair and equitable access to quality food is vital. This study proposes a flexible multi-objective mixed-integer programme (FMOMIP) to jointly address resilience and equity during disruptions. The proposed FMOMIP aims to satisfy demand equitably while minimising food loss and overall costs in a multi-echelon FSC network. In the event of disruption, the equity weights, obtained through a multi-criteria decision-making (MCDM) framework, are applied to revise the distribution plan and minimise the inequity and food loss in the network. The proposed model is tested under various disruption scenarios, considering the case of the Targeted Public Distribution System in India during the COVID-19 pandemic. The findings suggest that the existing storage and distribution network may be altered during disruptions to ensure equitable access to food at all demand points. Additionally, the impact of equity and other objectives on multi-echelon FSCs varies depending on the kind of disruption experienced by the system. Hence, we propose that food distribution organisations and government agencies should consider designing FSC networks that can react with higher responsiveness and incorporate equity perspectives instead of adopting a purely cost-oriented approach.

Suggested Citation

  • Harpreet Kaur & Mahima Gupta, 2024. "Designing Flexible Public Food Distribution Systems for Resilience, Equity, and Losses Under Pandemic Disruptions," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(4), pages 825-848, December.
    • Handle: RePEc:spr:gjofsm:v:25:y:2024:i:4:d:10.1007_s40171-024-00417-9
    DOI: 10.1007/s40171-024-00417-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40171-024-00417-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40171-024-00417-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Govindan, Kannan, 2018. "Sustainable consumption and production in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 195(C), pages 419-431.
    2. Schneider, Kellie & Nurre, Sarah G., 2019. "A multi-criteria vehicle routing approach to improve the compliance audit schedule for food banks," Omega, Elsevier, vol. 84(C), pages 127-140.
    3. de Gorter, Harry & Drabik, Dušan & Just, David R. & Reynolds, Christian & Sethi, Geeta, 2021. "Analyzing the economics of food loss and waste reductions in a food supply chain," Food Policy, Elsevier, vol. 98(C).
    4. Dmitry Ivanov & Alexandre Dolgui, 2022. "Stress testing supply chains and creating viable ecosystems," Operations Management Research, Springer, vol. 15(1), pages 475-486, June.
    5. Cohen, Nevin & Ilieva, Rositsa T., 2021. "Expanding the boundaries of food policy: The turn to equity in New York City," Food Policy, Elsevier, vol. 103(C).
    6. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    7. Zhanguo Zhu & Feng Chu & Alexandre Dolgui & Chengbin Chu & Wei Zhou & Selwyn Piramuthu, 2018. "Recent advances and opportunities in sustainable food supply chain: a model-oriented review," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5700-5722, September.
    8. Sawik, Tadeusz, 2014. "Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing," Omega, Elsevier, vol. 43(C), pages 83-95.
    9. Tadeusz Sawik, 2016. "On the risk-averse optimization of service level in a supply chain under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 98-113, January.
    10. Alkaabneh, Faisal & Diabat, Ali & Gao, Huaizhu Oliver, 2021. "A unified framework for efficient, effective, and fair resource allocation by food banks using an Approximate Dynamic Programming approach," Omega, Elsevier, vol. 100(C).
    11. Ahmed Mohammed & Irina Harris & Anthony Soroka & Mohamed Naim & Tim Ramjaun & Morteza Yazdani, 2021. "Gresilient supplier assessment and order allocation planning," Annals of Operations Research, Springer, vol. 296(1), pages 335-362, January.
    12. Dilupa Nakandala & Henry Lau & Li Zhao, 2017. "Development of a hybrid fresh food supply chain risk assessment model," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 4180-4195, July.
    13. D. G. Mogale & Sri Krishna Kumar & Manoj Kumar Tiwari, 2020. "Green food supply chain design considering risk and post-harvest losses: a case study," Annals of Operations Research, Springer, vol. 295(1), pages 257-284, December.
    14. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
    15. Seth D. Baum & David C. Denkenberger & Joshua M. Pearce & Alan Robock & Richelle Winkler, 2015. "Resilience to global food supply catastrophes," Environment Systems and Decisions, Springer, vol. 35(2), pages 301-313, June.
    16. Mohammed, Ahmed & Wang, Qian, 2017. "The fuzzy multi-objective distribution planner for a green meat supply chain," International Journal of Production Economics, Elsevier, vol. 184(C), pages 47-58.
    17. Alireza Arshadi Khamseh, 2021. "A Time-Dependent Sustainable–Flexible Supplier Selection Considering Uncertainty and TODIM Method in Iranian Dairy Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 113-126, June.
    18. Kaur, Harpreet & Prakash Singh, Surya, 2021. "Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Sengul Orgut, Irem & Ivy, Julie S. & Uzsoy, Reha & Hale, Charlie, 2018. "Robust optimization approaches for the equitable and effective distribution of donated food," European Journal of Operational Research, Elsevier, vol. 269(2), pages 516-531.
    20. 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.
    21. Mohan, S. & Gopalakrishnan, M. & Mizzi, P.J., 2013. "Improving the efficiency of a non-profit supply chain for the food insecure," International Journal of Production Economics, Elsevier, vol. 143(2), pages 248-255.
    22. Sube Singh & Ramesh Kumar & Rohit Panchal & Manoj Kumar Tiwari, 2021. "Impact of COVID-19 on logistics systems and disruptions in food supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 1993-2008, April.
    23. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    24. Seth D. Baum & David C. Denkenberger & Joshua M. Pearce & Alan Robock & Richelle Winkler, 2015. "Erratum to: Resilience to global food supply catastrophes," Environment Systems and Decisions, Springer, vol. 35(3), pages 424-424, September.
    25. Janet Fleetwood, 2020. "Social Justice, Food Loss, and the Sustainable Development Goals in the Era of COVID-19," Sustainability, MDPI, vol. 12(12), pages 1-9, June.
    26. Antonella Meneghetti & Luca Monti, 2015. "Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6567-6587, November.
    27. Bhavya Sharma & Murari Lal Mittal & Gunjan Soni & Bharti Ramtiyal, 2023. "An Implementation Framework for Resiliency Assessment in a Supply Chain," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 591-614, December.
    28. Klein, Robert & Kolb, Johannes, 2015. "Maximizing customer equity subject to capacity constraints," Omega, Elsevier, vol. 55(C), pages 111-125.
    29. Aleksander Banasik & Argyris Kanellopoulos & G. D. H. Claassen & Jacqueline M. Bloemhof-Ruwaard & Jack G. A. J. Vorst, 2017. "Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization," Annals of Operations Research, Springer, vol. 250(2), pages 341-362, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).
    2. Najafi, Mehdi & Zolfagharinia, Hossein, 2024. "A Multi-objective integrated approach to address sustainability in a meat supply chain," Omega, Elsevier, vol. 124(C).
    3. D. G. Mogale & Sri Krishna Kumar & Manoj Kumar Tiwari, 2020. "Green food supply chain design considering risk and post-harvest losses: a case study," Annals of Operations Research, Springer, vol. 295(1), pages 257-284, December.
    4. Mohebalizadehgashti, Fatemeh & Zolfagharinia, Hossein & Amin, Saman Hassanzadeh, 2020. "Designing a green meat supply chain network: A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 312-327.
    5. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.
    6. 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).
    7. Irem Sengul Orgut & Emmett J. Lodree, 2023. "Equitable distribution of perishable items in a food bank supply chain," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3002-3021, October.
    8. Akkerman, Renzo & Buisman, Marjolein & Cruijssen, Frans & de Leeuw, Sander & Haijema, Rene, 2023. "Dealing with donations: Supply chain management challenges for food banks," International Journal of Production Economics, Elsevier, vol. 262(C).
    9. De, Arijit & Gorton, Matthew & Hubbard, Carmen & Aditjandra, Paulus, 2022. "Optimization model for sustainable food supply chains: An application to Norwegian salmon," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    10. 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).
    11. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    12. Wang, Haiyan & Zhan, Sha-lei & Ng, Chi To & Cheng, T.C.E., 2020. "Coordinating quality, time, and carbon emissions in perishable food production: A new technology integrating GERT and the Bayesian approach," International Journal of Production Economics, Elsevier, vol. 225(C).
    13. Esteban Ogazón & Neale R. Smith & Angel Ruiz, 2022. "Reconfiguration of Foodbank Network Logistics to Cope with a Sudden Disaster," Mathematics, MDPI, vol. 10(9), pages 1-20, April.
    14. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    15. Suárez, Carlos Aníbal & Guaño, Walter A. & Pérez, Cinthia C. & Roa-López, Heydi, 2024. "Multi-objective optimization for perishable product dispatch in a FEFO system for a food bank single warehouse," Operations Research Perspectives, Elsevier, vol. 12(C).
    16. Mogale, D.G. & Kumar, Mukesh & Kumar, Sri Krishna & Tiwari, Manoj Kumar, 2018. "Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 40-69.
    17. Na Luo & Tava Lennon Olsen & Yanping Liu, 2021. "A Conceptual Framework to Analyze Food Loss and Waste within Food Supply Chains: An Operations Management Perspective," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    18. Guoquan Zhang & Guohao Li & Jing Peng, 2020. "Risk Assessment and Monitoring of Green Logistics for Fresh Produce Based on a Support Vector Machine," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    19. Mohd Fahmi Bin Mad Ali & Mohd Khairol Anuar Bin Mohd Ariffin & Aidin Delgoshaei & Faizal Bin Mustapha & Eris Elianddy Bin Supeni, 2023. "A Comprehensive 3-Phase Framework for Determining the Customer’s Product Usage in a Food Supply Chain," Mathematics, MDPI, vol. 11(5), pages 1-20, February.
    20. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:gjofsm:v:25:y:2024:i:4:d:10.1007_s40171-024-00417-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.