A Multitiered Supply Chain Network Equilibrium Model for Disaster Relief with Capacitated Freight Service Provision

  • Chapter
  • First Online:
Dynamics of Disasters (DOD 2017)

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 140))

Included in the following conference series:

Abstract

In this paper, a multitiered supply chain network equilibrium model is constructed, consisting of multiple humanitarian organizations, who seek to purchase services from multiple competing freight (logistic) service providers, for transportation of disaster relief supplies to multiple points of demand for distribution to victims. The freight service providers are faced with capacities associated with the volume of shipments that they can transport. We capture the behavior of the humanitarian organizations who individually minimize the total cost associated with payments for the freight transportation and their transaction costs. We also identify the profit-maximizing behavior of the freight service providers. The governing supply chain network equilibrium conditions are formulated as a variational inequality problem and conditions for existence given. We propose an algorithm for the computation of the equilibrium disaster relief item flows and Lagrange multipliers associated with the freight capacity constraints and provide conditions for convergence. The algorithm is then applied to several numerical examples comprising a case study focusing on an international healthcare crisis. In the case study, we explore the impacts of the addition of a freight service provider as well as that of a humanitarian organization on the profits of freight service providers and on the costs incurred by the humanitarian organizations. The theoretical and numerical results in this paper advance game theory frameworks for humanitarian operations and disaster relief, an area in which there is only a limited literature.

Presented at the 3rd International Conference on Dynamics of Disasters, July 5–9, 2017, Kalamata, Greece.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Agence France-Presse: UN health agency declares killer Ebola epidenic a global disaster. Daily Nation, 8 Aug 2014. Available at: http://www.nation.co.ke/news/africa/UN-health-agency-declares-killer-Ebola-global-disaster/1066-2413066-11mwufwz/index.html

  2. Ap, T.: Ebola crisis: WHO slammed by Harvard-convened over slow response. CNN, 23 Nov 2015

    Google Scholar 

  3. Balcik, B., Beamon, B.M., Smilowitz, K.: Last mile distribution in humanitarian relief. J. Intell. Transp. Syst. 12(2), 51–63 (2008)

    Article  Google Scholar 

  4. BBC.com: Ebola: Map** the outbreak, 14 Jan 2016. Available at: http://www.bbc.com/news/world-africa-28755033

  5. Fischer II, W.A., Hynes, N.A., Perl, T.M.: Protecting healthcare workers from Ebola: personal protective equipment is critical but not enough. Ann. Intern. Med. 161(10), 753–754 (2014)

    Article  Google Scholar 

  6. Gabay, D., Moulin, H.: On the uniqueness and stability of Nash equilibria in noncooperative games. In: Bensoussan, A., Kleindorfer, P., Tapiero, C.S. (eds.) Applied Stochastic Control of Econometrics and Management Science, pp. 271–294. North-Holland, Amsterdam (1980)

    Google Scholar 

  7. Huang, M., Smilowitz, K., Balcik, B. Models for relief routing: equity, efficiency and efficacy. Transp. Res. E 48, 2–18 (2012)

    Article  Google Scholar 

  8. Kinderlehrer, D., Stampacchia, G.: An Introduction to Variational Inequalities and Their Applications. Academic Press, New York (1980)

    MATH  Google Scholar 

  9. Korpelevich G.M.: The extragradient method for finding saddle points and other problems. Matekon 13, 35–49 (1977)

    Google Scholar 

  10. Miller-Hooks, E., Sorrel, G.: The maximal dynamic expected flows problem for emergency evacuation planning. Transp. Res. Rec. 2089, 26–34 (2008)

    Article  Google Scholar 

  11. Muggy, L.: Quantifying and Mitigating Decentralized Decision Making in Humanitarian Logistics Systems. PhD Dissertation, Kansas State University, Manhattan (2015)

    Google Scholar 

  12. Muggy L., Heier Stamm, J.L.: Game theory applications in humanitarian operations: a review. J. Humanitarian Logistics Supply Chain Manag. 4(1), 4–23 (2014)

    Article  Google Scholar 

  13. Na, H.S., Banerjee, A.: A disaster evacuation network model for transporting multiple priority evacuees. IIE Trans. 47(11), 1287–1299 (2015)

    Article  Google Scholar 

  14. Nagurney, A.: Network Economics: A Variational Inequality Approach, 2nd and rev. ed. Kluwer Academic Publishers, Dordrecht (1999)

    Google Scholar 

  15. Nagurney, A.: Supply Chain Network Economics: Dynamics of Prices, Flows, and Profits. Edward Elgar Publishing. Cheltenham (2006)

    Google Scholar 

  16. Nagurney, A.: Freight service provision for disaster relief: a competitive network model with computations. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights, pp 207–229. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  17. Nagurney, A., Alvarez Flores, E., Soylu, C.: A generalized Nash equilibrium model for post-disaster humanitarian relief. Transp. Res. E 95, 1–18 (2016)

    Article  Google Scholar 

  18. Nagurney, A., Daniele, P., Alvarez Flores, E., Caruso, A.: A variational equilibrium framework for humanitarian organizations in disaster relief: effective product delivery under competition for financial funds. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Algorithmic Approaches and Applications. Springer International Publishers, Switzerland (2018)

    Google Scholar 

  19. Nagurney, A., Dong, J., Zhang, D.: A supply chain network equilibrium model. Transp. Res. E 38, 281–303 (2002)

    Article  Google Scholar 

  20. Nagurney, A., Masoumi, A.H., Yu, M.: An integrated disaster relief supply chain network model with time targets and demand uncertainty. In: Nijkamp, P., Rose, A., Kourtit, K. (eds.) Regional Science Matters: Studies Dedicated to Walter Isard, pp. 287–318. Springer International Publishing, Switzerland (2015)

    Google Scholar 

  21. Nagurney, A., Nagurney, L.S.: A mean-variance disaster relief supply chain network model for risk reduction with stochastic link costs, time targets, and demand uncertainty. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights, pp. 75–99. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  22. Nagurney, A., Saberi, S., Shivani, S., Floden, J.: Supply chain network competition in price and quality with multiple manufacturers and freight service providers. Transp. Res. E 77, 248–267 (2015)

    Article  Google Scholar 

  23. Nagurney, A., Shukla, S.: Multifirm models of cybersecurity investment competition vs. cooperation and network vulnerability. Eur. J. Oper. Res. 260(2), 588–600 (2017)

    Article  MathSciNet  Google Scholar 

  24. Nagurney, A., Yu, M., Floden, J., Nagurney, L.S.: Supply chain network competition in time-sensitive markets. Transp. Res. E 70, 112–127 (2014)

    Article  Google Scholar 

  25. Nash J.F.: Equilibrium points in n-person games. Proc. Natl. Acad. Sci. U. S. A. 36, 48–49 (1950)

    Article  MathSciNet  Google Scholar 

  26. Nash J.F.: The bargaining problem. Econometrica 18, 155–162 (1950)

    Article  MathSciNet  Google Scholar 

  27. Nash J.F.: Noncooperative games. Ann. Math. 54, 286–298 (1951)

    Article  MathSciNet  Google Scholar 

  28. Nash J.F.: Two person cooperative games. Econometrica 21, 128–140 (1953)

    Article  MathSciNet  Google Scholar 

  29. O’Byrne, R.: The Ebola outbreak and why logistics are struggling to cope. Logistics Bureau, 3 Nov 2014. Available at: http://www.logisticsbureau.com/the-ebola-outbreak-and-why-logistics-are-struggling/

  30. Pedraza Martinez, A.J., Stapleton, O., Van Wassenhove, L.N.: Field vehicle fleet management in humanitarian operations: a case-based approach. J. Oper. Manag. 29(5), 404–421 (2011)

    Article  Google Scholar 

  31. Regnier, E.: Public evacuation decisions and hurricane track uncertainty. Manag. Sci. 54(2), 16–28 (2008)

    Article  Google Scholar 

  32. Saul, J.: Ship** industry modified clauses in contracts for Ebola risks. www.reuters.com, 16 Dec 2014. Available at: http://www.reuters.com/article/health-ebola-ship**-idUSL6N0U024W20141216

  33. Sheffi, Y., Mahmassani, H., Powell, W.B.: A transportation network evacuation model. Transp. Res. A 16(3), 209–218 (1982)

    Article  Google Scholar 

  34. The World Bank: Cost to export (US$ per container) (2016). http://data.worldbank.org/indicator/IC.EXP.COST.CD

  35. Tseng, P.: On linear convergence of iterative methods for the variational inequality problem. J. Comput. Appl. Math. 60, 237–252 (1995)

    Article  MathSciNet  Google Scholar 

  36. United States Department of Commerce: Access costs everywhere (2016). http://acetool.commerce.gov/ship**

  37. Van Wassenhove, L.N. Blackett memorial lecture. Humanitarian aid logistics: supply chain management in high gear. J. Oper. Res. Soc. 57(5), 475–489 (2006)

    Google Scholar 

  38. Vogiatzis, C., Pardalos, P.M.: Evacuation modeling and betweenness centrality. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights, pp. 345–350. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  39. Wilson, D.: CE: Inside an Ebola ET: A nurses’ report. Am. J. Nurs. 115(12), 28–38 (2015)

    Article  Google Scholar 

  40. Wilson, D.: Ode to the humanitarian logistician: humanistic logistics through a nurse’s eye. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights, pp. 361–369. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  41. World Health Organization: Health worker Ebola infections in Guinea, Liberia and Sierra Leone: A preliminary report. Geneva, Switzerland, 21 May (2015)

    Google Scholar 

Download references

Acknowledgements

The author acknowledges support by the Radcliffe Institute for Advanced Study at Harvard University during the summer of 2017, where she was a Summer Fellow. She also acknowledges support from the John F. Smith Memorial Fund at the University of Massachusetts Amherst.

The author thanks the co-organizers of the 3rd Dynamics of Disasters conference and the participants for engaging discussions. She also thanks the anonymous reviewer for helpful comments and suggestions on an earlier version of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Nagurney .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nagurney, A. (2018). A Multitiered Supply Chain Network Equilibrium Model for Disaster Relief with Capacitated Freight Service Provision. In: Kotsireas, I., Nagurney, A., Pardalos, P. (eds) Dynamics of Disasters. DOD 2017. Springer Optimization and Its Applications, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-97442-2_5

Download citation

Publish with us

Policies and ethics

Navigation