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How to increase the impact of disaster relief: A study of transportation rates, framework agreements and product distribution

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  • Gossler, Timo
  • Wakolbinger, Tina
  • Nagurney, Anna
  • Daniele, Patrizia

Abstract

Due to restricted budgets of relief organizations, costs of hiring transportation service providers steer distribution decisions and limit the impact of disaster relief. To improve the success of future humanitarian operations, it is of paramount importance to understand this relationship in detail and to identify mitigation actions, always considering the interdependencies between multiple independent actors in humanitarian logistics. In this paper, we develop a game-theoretic model in order to investigate the influence of transportation costs on distribution decisions in long-term relief operations and to evaluate measures for improving the fulfillment of beneficiary needs. The equilibrium of the model is a Generalized Nash Equilibrium, which has had few applications in the supply chain context to date. We formulate it, utilizing the construct of a Variational Equilibrium, as a Variational Inequality and perform numerical simulations in order to study the effects of three interventions: an increase in carrier competition, a reduction of transportation costs and an extension of framework agreements. The results yield important implications for policy makers and humanitarian organizations (HOs). Increasing the number of preselected carriers strengthens the bargaining power of HOs and improves impact up to a certain limit. The limit is reached when carriers set framework rates equal to transportation unit costs. Reductions of transportation costs have a consistently positive, but decreasing marginal benefit without any upper bound. They provide the highest benefit when the bargaining power of HOs is weak. On the contrary, extending framework agreements enables most improvements when the bargaining power of HOs is strong.

Suggested Citation

  • Gossler, Timo & Wakolbinger, Tina & Nagurney, Anna & Daniele, Patrizia, 2019. "How to increase the impact of disaster relief: A study of transportation rates, framework agreements and product distribution," European Journal of Operational Research, Elsevier, vol. 274(1), pages 126-141.
  • Handle: RePEc:eee:ejores:v:274:y:2019:i:1:p:126-141
    DOI: 10.1016/j.ejor.2018.09.045
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    Cited by:

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    2. Adsanver, Birce & Balcik, Burcu & Bélanger, Valérie & Rancourt, Marie-Ève, 2024. "Operations research approaches for improving coordination, cooperation, and collaboration in humanitarian relief chains: A framework and literature review," European Journal of Operational Research, Elsevier, vol. 319(2), pages 384-398.
    3. Wu, Xuanyu & Yang, Min & Liang, Liang, 2024. "Government should be merciful or strict: Penalizing defaulting suppliers in emergency supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    4. Hongzhe Zhang & Xiaohang Zhao & Xiao Fang & Bintong Chen, 2024. "Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model," Information Systems Research, INFORMS, vol. 35(2), pages 528-550, June.
    5. Nagurney, Anna & Besik, Deniz & Li, Dong, 2019. "Strict quotas or tariffs? Implications for product quality and consumer welfare in differentiated product supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 136-161.
    6. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    7. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    8. Fan, Yu & Wang, Xihui & Zhu, Anqi & Shao, Jianfang & Liang, Liang, 2024. "Measuring the shortage cost through deprivation and envy in collaborating contract between the local authority and the enterprise," International Journal of Production Economics, Elsevier, vol. 271(C).
    9. Fan, Yu & Shao, Jianfang & Wang, Xihui, 2023. "Relief items procurement and delivery through cooperation with suppliers and logistics companies considering budget constraints," International Journal of Production Economics, Elsevier, vol. 264(C).
    10. Seyed Ahmad Bathaei & Hamid Reza Khankeh, 2023. "Factors associated with relief overdemanding in the disaster response phase: a qualitative content analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 4009-4019, April.
    11. Shao, Jianfang & Fan, Yu & Wang, Xihui & Liang, Changyong & Liang, Liang, 2023. "Designing a new framework agreement in humanitarian logistics based on deprivation cost functions," International Journal of Production Economics, Elsevier, vol. 256(C).
    12. Gyöngyi Kovács & Ioanna Falagara Sigala, 2021. "Lessons learned from humanitarian logistics to manage supply chain disruptions," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 41-49, January.

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