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Achieving Equity, Effectiveness, and Efficiency in Food Bank Operations: Strategies for Feeding America with Implications for Global Hunger Relief

In: Advances in Managing Humanitarian Operations

Author

Listed:
  • Irem Sengul Orgut

    (North Carolina State University)

  • Luther G. Brock III

    (North Carolina Agricultural and Technical State University)

  • Lauren Berrings Davis

    (North Carolina Agricultural and Technical State University)

  • Julie Simmons Ivy

    (North Carolina State University)

  • Steven Jiang

    (North Carolina Agricultural and Technical State University)

  • Shona D. Morgan

    (North Carolina Agricultural and Technical State University)

  • Reha Uzsoy

    (North Carolina State University)

  • Charlie Hale

    (Food Bank of Central & Eastern North Carolina)

  • Earline Middleton

    (Food Bank of Central & Eastern North Carolina)

Abstract

One in six Americans (14.3 % of households) reported being food insecure at some time during the year 2013 (i.e., they lacked access to enough food for an active, healthy life for all household members). This translates to 17.5 million food insecure households and 49.1 million Americans, 33.3 million adults and 15.8 million children living in food insecure households (Coleman-Jensen et al. 2011, 2014). This slight decrease from 14.5 % in 2012 was not statistically significant and marks the third consecutive year that the USDA’s annual hunger survey has found food insecurity at some of the highest levels since the government started the report in 1995. There is a growing body of research addressing logistics and supply chain management issues in the area of humanitarian relief. Much of this work has focused in the emergency management domain, addressing critical needs of those affected in the aftermath of a natural disaster. However, the chronic epidemic of poverty and hunger in the United States can also be considered a ‘natural disaster’. While this disaster is characterized by being prolonged with a gradual onset (like hurricanes or tornados), it also warrants significant attention given the recent statistics on hunger and poverty and the emerging congressional climate to ‘remove the safety net’ of government programs to support this particular population. Prior research in the hunger relief domain has primarily been conducted in the social sciences addressing such issues as equity and allocation policy and ignoring their relationship to effectiveness and efficiency. A thorough understanding of the partners (private, non-profit, and governmental) that work together to provide food assistance is needed from a systems perspective. The opportunity to engage in an overall engineering/operations research effort to improve access to food through equitable, efficient, and effective operations of nonprofits and government agencies has yet to be fully explored. Therefore, in order to effectively advance operations research and inform policy development in this field, this chapter has been written in partnership with collaborators from the Food Bank of Central & Eastern North Carolina (FBCENC) to create a collective vision for the future of research in food bank operations. This chapter creates a framework for operational decision making at food banks, aimed at (1) more effectively translating the ongoing operations research work into practice at a wider range of food banks; (2) identifying synergistic research opportunities for the operations research and public policy communities to collaborate in the area of hunger relief; and (3) identifying critical, open problems in food aid distribution.

Suggested Citation

  • Irem Sengul Orgut & Luther G. Brock III & Lauren Berrings Davis & Julie Simmons Ivy & Steven Jiang & Shona D. Morgan & Reha Uzsoy & Charlie Hale & Earline Middleton, 2016. "Achieving Equity, Effectiveness, and Efficiency in Food Bank Operations: Strategies for Feeding America with Implications for Global Hunger Relief," International Series in Operations Research & Management Science, in: Christopher W. Zobel & Nezih Altay & Mark P. Haselkorn (ed.), Advances in Managing Humanitarian Operations, chapter 11, pages 229-256, Springer.
  • Handle: RePEc:spr:isochp:978-3-319-24418-1_11
    DOI: 10.1007/978-3-319-24418-1_11
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    Citations

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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. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    3. 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.
    4. Sucharitha, Rahul Srinivas & Lee, Seokcheon, 2022. "GMM clustering for in-depth food accessibility pattern exploration and prediction model of food demand behavior," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    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. Feyza G. Sahinyazan & Marie‐Ève Rancourt & Vedat Verter, 2021. "Food Aid Modality Selection Problem," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 965-983, April.
    8. Dubey, Nistha & Tanksale, Ajinkya, 2022. "A study of barriers for adoption and growth of food banks in India using hybrid DEMATEL and Analytic Network Process," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    9. Lester Blackmon & Ross Chan & Omar Carbral & Geeta Chintapally & Sandip Dhara & Peter Felix & Aditi Jagdish & Srini Konakalla & Jasbir Labana & Jeff McIlvain & Jason Stone & Christopher S. Tang & Jaso, 2021. "Rapid Development of a Decision Support System to Alleviate Food Insecurity at the Los Angeles Regional Food Bank amid the COVID‐19 Pandemic," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3391-3407, October.
    10. Christina M. Pollard & Bruce Mackintosh & Cathy Campbell & Deborah Kerr & Andrea Begley & Jonine Jancey & Martin Caraher & Joel Berg & Sue Booth, 2018. "Charitable Food Systems’ Capacity to Address Food Insecurity: An Australian Capital City Audit," IJERPH, MDPI, vol. 15(6), pages 1-17, June.
    11. Fianu, Sefakor & Davis, Lauren B., 2018. "A Markov decision process model for equitable distribution of supplies under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1101-1115.
    12. Vosooghi, Zeinab & Mirzapour Al-e-hashem, S.M.J. & Lahijanian, Behshad, 2022. "Scenario-based redesigning of a relief supply-chain network by considering humanitarian constraints, triage, and volunteers’ help," Socio-Economic Planning Sciences, Elsevier, vol. 84(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.

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