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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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    1. Anna Nagurney, 2018. "A Multitiered Supply Chain Network Equilibrium Model for Disaster Relief with Capacitated Freight Service Provision," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos (ed.), Dynamics of Disasters, pages 85-108, Springer.
    2. Rancourt, Marie-Ève & Bellavance, François & Goentzel, Jarrod, 2014. "Market analysis and transportation procurement for food aid in Ethiopia," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 198-219.
    3. Nezih Altay & Raktim Pal, 2014. "Information Diffusion among Agents: Implications for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1015-1027, June.
    4. Lall, Somik V. & Wang, Hyoung & Munthali, Thomas, 2009. "Explaining high transport costs within Malawi - bad roads or lack of trucking competition ?," Policy Research Working Paper Series 5133, The World Bank.
    5. Meena, P.L. & Sarmah, S.P. & Sarkar, A., 2011. "Sourcing decisions under risks of catastrophic event disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1058-1074.
    6. Anna Nagurney & Min Yu & Deniz Besik, 2017. "Supply chain network capacity competition with outsourcing: a variational equilibrium framework," Journal of Global Optimization, Springer, vol. 69(1), pages 231-254, September.
    7. Erica Gralla & Jarrod Goentzel & Charles Fine, 2014. "Assessing Trade-offs among Multiple Objectives for Humanitarian Aid Delivery Using Expert Preferences," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 978-989, June.
    8. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    9. Toyasaki, Fuminori & Daniele, Patrizia & Wakolbinger, Tina, 2014. "A variational inequality formulation of equilibrium models for end-of-life products with nonlinear constraints," European Journal of Operational Research, Elsevier, vol. 236(1), pages 340-350.
    10. Egan, M. Jude, 2010. "Private goods and services contracts: Increased emergency response capacity or increased vulnerability?," International Journal of Production Economics, Elsevier, vol. 126(1), pages 46-56, July.
    11. Paul, Jomon Aliyas & Wang, Xinfang (Jocelyn), 2015. "Robust optimization for United States Department of Agriculture food aid bid allocations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 129-146.
    12. Liang, Liang & Wang, Xihui & Gao, Jianguo, 2012. "An option contract pricing model of relief material supply chain," Omega, Elsevier, vol. 40(5), pages 594-600.
    13. Burcu Balcik & Deniz Ak, 2014. "Supplier Selection for Framework Agreements in Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1028-1041, June.
    14. Bolton, Lisa E & Warlop, Luk & Alba, Joseph W, 2003. "Consumer Perceptions of Price (Un)Fairness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 474-491, March.
    15. Mahadevan, B. & Hazra, Jishnu & Jain, Tarun, 2017. "Services outsourcing under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 257(2), pages 456-467.
    16. Carland, Corinne & Goentzel, Jarrod & Montibeller, Gilberto, 2018. "Modeling the values of private sector agents in multi-echelon humanitarian supply chains," European Journal of Operational Research, Elsevier, vol. 269(2), pages 532-543.
    17. Cruijssen, Frans & Borm, Peter & Fleuren, Hein & Hamers, Herbert, 2010. "Supplier-initiated outsourcing: A methodology to exploit synergy in transportation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 763-774, December.
    18. Nam, K. & Chaudhury, A. & Rao, H. Raghav, 1995. "A mixed integer model of bidding strategies for outsourcing," European Journal of Operational Research, Elsevier, vol. 87(2), pages 257-273, December.
    19. Bagchi, Aniruddha & Aliyas Paul, Jomon & Maloni, Michael, 2011. "Improving bid efficiency for humanitarian food aid procurement," International Journal of Production Economics, Elsevier, vol. 134(1), pages 238-245, November.
    20. Wang, Xihui & Li, Feng & Liang, Liang & Huang, Zhimin & Ashley, Allan, 2015. "Pre-purchasing with option contract and coordination in a relief supply chain," International Journal of Production Economics, Elsevier, vol. 167(C), pages 170-176.
    21. Lim, Wei Shi, 2000. "A lemons market? An incentive scheme to induce truth-telling in third party logistics providers," European Journal of Operational Research, Elsevier, vol. 125(3), pages 519-525, September.
    22. Anna Nagurney & Patrizia Daniele & Emilio Alvarez Flores & Valeria Caruso, 2018. "A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos (ed.), Dynamics of Disasters, pages 109-133, Springer.
    23. Tofighi, S. & Torabi, S.A. & Mansouri, S.A., 2016. "Humanitarian logistics network design under mixed uncertainty," European Journal of Operational Research, Elsevier, vol. 250(1), pages 239-250.
    24. Nagurney, Anna & Flores, Emilio Alvarez & Soylu, Ceren, 2016. "A Generalized Nash Equilibrium network model for post-disaster humanitarian relief," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 1-18.
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    Cited by:

    1. Anna Nagurney & Mojtaba Salarpour & June Dong & Ladimer S. Nagurney, 2020. "A Stochastic Disaster Relief Game Theory Network Model," SN Operations Research Forum, Springer, vol. 1(2), pages 1-33, June.
    2. 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.
    3. 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.
    4. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    5. 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).
    6. 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.
    7. 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).
    8. 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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