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Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms

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  • Luke Muggy

    (RAND Corporation)

  • Jessica L. Heier Stamm

    (Kansas State University)

Abstract

Effectiveness in humanitarian supply chain operations depends on the critical last mile between beneficiaries and needed supplies or services. Often, the last mile is traveled by the beneficiaries themselves. This paper’s focus is on systems in which beneficiaries make autonomous decisions about where to seek supplies or services using a utility function that captures distance, congestion, and the relative importance of the two factors. We model beneficiary behavior as a network congestion game where the resources are a set of facilities from which individuals choose. Importantly, our models capture the fact that the relative importance of distance and congestion may be specific to both the individual and the facility; we represent this using a factor called the congestion weight. We prove new bounds on the system performance that results from decentralized beneficiary decisions in comparison to centralized optimal assignments, and we introduce mechanisms for achieving centrally optimal outcomes even in the presence of decentralization. We demonstrate the methods with data from the international public health response to the Haiti cholera epidemic.

Suggested Citation

  • Luke Muggy & Jessica L. Heier Stamm, 2020. "Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms," Annals of Operations Research, Springer, vol. 284(1), pages 333-365, January.
  • Handle: RePEc:spr:annopr:v:284:y:2020:i:1:d:10.1007_s10479-019-03246-7
    DOI: 10.1007/s10479-019-03246-7
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    References listed on IDEAS

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    4. Xiaoyan Xu & Suresh P. Sethi & Sai‐Ho Chung & Tsan‐Ming Choi, 2023. "Reforming global supply chain management under pandemics: The GREAT‐3Rs framework," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 524-546, February.
    5. Yunhan Huang & Quanyan Zhu, 2022. "Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review," Dynamic Games and Applications, Springer, vol. 12(1), pages 7-48, March.
    6. Ekinci, Esra & Mangla, Sachin Kumar & Kazancoglu, Yigit & Sarma, P.R.S. & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2022. "Resilience and complexity measurement for energy efficient global supply chains in disruptive events," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    8. Lijo John & Anand Gurumurthy & Arqum Mateen & Gopalakrishnan Narayanamurthy, 2022. "Improving the coordination in the humanitarian supply chain: exploring the role of options contract," Annals of Operations Research, Springer, vol. 319(1), pages 15-40, December.
    9. Seyed Reza Abazari & Fariborz Jolai & Amir Aghsami, 2022. "Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1430-1452, June.
    10. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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