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Harvest Hope Food Bank Optimizes Its Promotional Strategy to Raise Donations Using Integer Programming

Author

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  • Sanjay L. Ahire

    (Department of Management Science, Darla Moore School of Business, University of South Carolina, Columbia, South Carolina 29208)

  • Pelin Pekgün

    (Department of Management Science, Darla Moore School of Business, University of South Carolina, Columbia, South Carolina 29208)

Abstract

Harvest Hope Food Bank (HHFB), based in South Carolina, serves primarily donated food to people in need in 20 counties across the state. It distributed 28 million pounds of food and fed over two million individuals in fiscal year 2014–2015. However, this constituted only 40 percent of the annual meal gap of about 70 million pounds in its service area. One of HHFB’s major strategic goals is to efficiently utilize its operating budget and its human and technical resources to increase food and dollar donations, which it raises through events corresponding to various promotional initiatives. We worked with HHFB management and staff to develop resource-capacity bills (i.e., the consumption of each resource per event), and calculated the expected food and (or) dollar donation yield per event. We then developed an integer programming optimization model to determine the optimal number of events of each initiative per year with the objective of maximizing the total annual meals yield (i.e., the number of meals that could be served using the food and dollar donations), subject to resource constraints and the allowable number of events of each initiative as advised by HHFB management. With our recommended optimal strategy, HHFB can provide 1.72 million additional meals per year (an increase of 41 percent) from these promotional events within the existing resource limits, which can help bridge the meal gap in its service area. HHFB has embedded the optimization model in its strategic planning of promotional events, and the allocation of resources to support these initiatives, to ensure that it can meet its 5- and 10-year meal-coverage targets. Additionally, HHFB is disseminating the value of this integrated framework to its peer food banks within the national Feeding America consortium.

Suggested Citation

  • Sanjay L. Ahire & Pelin Pekgün, 2018. "Harvest Hope Food Bank Optimizes Its Promotional Strategy to Raise Donations Using Integer Programming," Interfaces, INFORMS, vol. 48(4), pages 291-306, August.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:4:p:291-306
    DOI: 10.1287/inte.2018.0944
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    1. Davis, Lauren B. & Sengul, Irem & Ivy, Julie S. & Brock, Luther G. & Miles, Lastella, 2014. "Scheduling food bank collections and deliveries to ensure food safety and improve access," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 175-188.
    2. Irem Sengul Orgut & Julie Ivy & Reha Uzsoy & James R. Wilson, 2016. "Modeling for the equitable and effective distribution of donated food under capacity constraints," IISE Transactions, Taylor & Francis Journals, vol. 48(3), pages 252-266, March.
    3. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    4. Senay Solak & Christina Scherrer & Ahmed Ghoniem, 2014. "The stop-and-drop problem in nonprofit food distribution networks," Annals of Operations Research, Springer, vol. 221(1), pages 407-426, October.
    5. Andrew J Mason, 2012. "OpenSolver - An Open Source Add-in to Solve Linear and Integer Progammes in Excel," Operations Research Proceedings, in: Diethard Klatte & Hans-Jakob Lüthi & Karl Schmedders (ed.), Operations Research Proceedings 2011, edition 127, pages 401-406, Springer.
    6. Kevin F. McCardle & Kumar Rajaram & Christopher S. Tang, 2009. "A Decision Analysis Tool for Evaluating Fundraising Tiers," Decision Analysis, INFORMS, vol. 6(1), pages 4-13, March.
    7. Arian Aflaki & Alfonso J. Pedraza-Martinez, 2016. "Humanitarian Funding in a Multi-Donor Market with Donation Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 25(7), pages 1274-1291, July.
    8. Fuminori Toyasaki & Tina Wakolbinger, 2014. "Impacts of earmarked private donations for disaster fundraising," Annals of Operations Research, Springer, vol. 221(1), pages 427-447, October.
    9. Robert W. Lien & Seyed M. R. Iravani & Karen R. Smilowitz, 2014. "Sequential Resource Allocation for Nonprofit Operations," Operations Research, INFORMS, vol. 62(2), pages 301-317, April.
    10. Ilya O. Ryzhov & Bin Han & Jelena Bradić, 2016. "Cultivating Disaster Donors Using Data Analytics," Management Science, INFORMS, vol. 62(3), pages 849-866, March.
    11. Martin K. Starr & Luk N. Van Wassenhove, 2014. "Introduction to the Special Issue on Humanitarian Operations and Crisis Management," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 925-937, June.
    12. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    13. Burcu Balcik & Seyed Iravani & Karen Smilowitz, 2014. "Multi-vehicle sequential resource allocation for a nonprofit distribution system," IISE Transactions, Taylor & Francis Journals, vol. 46(12), pages 1279-1297, December.
    14. Andreas Kretschmer & Stefan Spinler & Luk N. Van Wassenhove, 2014. "A School Feeding Supply Chain Framework: Critical Factors for Sustainable Program Design," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 990-1001, June.
    15. Marcelo Olivares & Gabriel Y. Weintraub & Rafael Epstein & Daniel Yung, 2012. "Combinatorial Auctions for Procurement: An Empirical Study of the Chilean School Meals Auction," Management Science, INFORMS, vol. 58(8), pages 1458-1481, August.
    16. Ali Ekici & Pınar Keskinocak & Julie L. Swann, 2014. "Modeling Influenza Pandemic and Planning Food Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 11-27, February.
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    1. Tanzid Hasnain & Irem Sengul Orgut & Julie Simmons Ivy, 2021. "Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4475-4500, December.
    2. Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.
    3. 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).
    4. Shubhra Paul & Lauren B. Davis, 2022. "An ensemble forecasting model for predicting contribution of food donors based on supply behavior," Annals of Operations Research, Springer, vol. 319(1), pages 1-29, December.

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