Nothing Special   »   [go: up one dir, main page]

Skip to main content

A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds

  • 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, we present a new Generalized Nash Equilibrium (GNE) model for post-disaster humanitarian relief by introducing novel financial funding functions and altruism functions, and by also capturing competition on the logistics side among humanitarian organizations. The common, that is, the shared, constraints associated with the relief item deliveries at points of need are imposed by an upper level humanitarian organization or regulatory body and consist of lower and upper bounds to ensure the effective delivery of the estimated volumes of supplies to the victims of the disaster. We identify the network structure of the problem, with logistical and financial flows, and propose a variational equilibrium framework, which allows us to then formulate, analyze, and solve the model using the theory of variational inequalities (rather than quasivariational inequality theory). We then utilize Lagrange analysis and investigate qualitatively the humanitarian organizations’ marginal utilities if and when the equilibrium relief item flows are (or are not) at the imposed demand point bounds. We illustrate the game theory model through a case study focused on tornadoes hitting western Massachusetts, a highly unusual event that occurred in 2011. This work significantly extends the original model of Nagurney (Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights. Springer International Publishing, Switzerland, 2016), which, under the imposed assumptions therein, allowed for an optimization formulation, and adds to the literature of game theory and disaster relief, which is nascent.

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

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook
USD 15.99
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 shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping 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. Balcik, B., Beamon, B., Krejci, C., Muramatsu, K.M., Ramirez, M.: Coordination in humanitarian relief chains: practices, challenges and opportunities. Int. J. Prod. Econ. 120(1), 22–34 (2010)

    Article  Google Scholar 

  2. Barbagallo, A., Daniele, P., Maugeri, A.: Variational formulation for a general dynamic nancial equilibrium problem: balance law and liability formula. Nonlinear Anal. Theory Methods Appl. 75(3), 1104–1123 (2012)

    Article  Google Scholar 

  3. Bensoussan, A.: Points de Nash dans le cas de fonctionelles quadratiques et jeux differentiels lineaires a N personnes. SIAM J. Control 12, 460–499 (1974)

    Article  MathSciNet  Google Scholar 

  4. Caruso, V., Daniele, P.: A network model for minimizing the total organ transplant costs. Eur. J. Oper. Res. 266(2), 652–662 (2018)

    Article  MathSciNet  Google Scholar 

  5. Chankong, V., Haimes, Y.Y.: Multiobjective Decision Making: Theory and Methodology. North-Holland, New York (1983)

    MATH  Google Scholar 

  6. Coles, J.B., Zhuang, J.: Decisions in disaster recovery operations: a game theoretic perspective on organization cooperation. J. Homeland Secur. Emerg. Manag. 8(1), Article 35 (2011)

    Google Scholar 

  7. Cox, C.W.: Manmade disasters: a historical review of terrorism and implications for the future. Online J. Nurs. 13(1). 8 Jan 2008. Available at: http://www.nursingworld.org/MainMenuCategories/ANAMarketplace/ANAPeriodicals/OJIN/TableofContents/vol132008/No1Jan08/ArticlePreviousTopic/ManmadeDisasters.html

  8. Daniele, P.: Variational inequalities for static equilibrium market. In: Giannessi, F., Maugeri, A., Pardalos, P.M. (eds.) Lagrangean Function and Duality, in Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models, pp. 43–58. Kluwer Academic Publishers, Norwell (2001)

    Google Scholar 

  9. Daniele, P., Giuffrè, S.: Random variational inequalities and the random traffic equilibrium problem. J. Optim. Theory Appl. 167(1), 363–381 (2015)

    Article  MathSciNet  Google Scholar 

  10. Debreu, G.: A social equilibrium existence theorem. Proc. Natl. Acad. Sci. U. S. A. 38, 886–893 (1952)

    Article  MathSciNet  Google Scholar 

  11. Dupuis, P., Nagurney, A.: Dynamical systems and variational inequalities. Ann. Oper. Res. 44, 9–42 (1993)

    Article  MathSciNet  Google Scholar 

  12. Facchinei, F., Kanzow, C.: Generalized Nash equilibrium problems. Ann. Oper. Res. 175(1), 177–211 (2010)

    Article  MathSciNet  Google Scholar 

  13. Fischer, A., Herrich, M., Schonefeld, K.: Generalized Nash equilibrium problems – recent advances and challenges. Pesquisa Operacional 34(3), 521–558 (2014)

    Article  Google Scholar 

  14. Fishburn, P.C.: Utility Theory for Decision Making. Wiley, New York (1970)

    Book  Google Scholar 

  15. Flynn, J.: Tornado tears through Pioneer Valley, killing two, damaging homes in 9 communities and causing widespread power outages. 2 Jun 2011. Available at: http://www.masslive.com/news/index.ssf/2011/06/tornado_tears_through_pioneer.html

  16. 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 

  17. Gatignon, A., Van Wassenhove, L., Charles, A.: The Yogyakarta earthquake: humanitarian relief through IFRC’s decentralized supply chain. Int. J. Prod. Econ. 126(1), 102–110 (2010)

    Article  Google Scholar 

  18. Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge University Press, Cambridge (1993)

    Book  Google Scholar 

  19. Kinderlehrer, D., Stampacchia, G.: Variational Inequalities and Their Applications. Academic Press, New York (1980)

    MATH  Google Scholar 

  20. Kopinak, J.K.: Humanitarian assistance: are effective and sustainability impossible dreams? J. Humanitarian Assistance. March 10 (2013)

    Google Scholar 

  21. Kulkarni, A.A., Shanbhag, U.V.: On the variational equilibrium as a refinement of the generalized Nash equilibrium. Automatica 48, 45–55 (2012)

    Article  MathSciNet  Google Scholar 

  22. Luna, J.P.: Decomposition and approximation methods for variational inequalities, with applications to deterministic and stochastic energy markets. PhD thesis, Instituto Nacional de Matematica Pura e Aplicada, Rio de Janeiro, Brazil (2013)

    Google Scholar 

  23. Malani, A., Philipson, T., David, G.: Theories of firm behavior in the nonprofit sector. A synthesis and empirical evaluation. In: Glaeser, E.L. (ed.) The Governance of Not-for-Profit Organizations, pp. 181–215. University of Chicago Press, Chicago (2003)

    Chapter  Google Scholar 

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

    Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  28. 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 

  29. Nagurney, A.: Response to natural disasters like Harvey could be helped with game theory. The Conversation, August 28 (2017)

    Google Scholar 

  30. Nagurney, A., Dutta, P.: Competition for Blood Donations: A Nash Equilibrium Network Framework. Isenberg School of Management, University of Massachusetts Amherst (2017)

    Google Scholar 

  31. Nagurney, A., Qiang, Q.: Fragile Networks: Identifying Vulnerabilities and Synergies in an Uncertain World. Wiley, Hoboken (2009)

    Book  Google Scholar 

  32. Nagurney, A., Zhang, D.: Projected Dynamical Systems and Variational Inequalities with Applications. Kluwer Academic Publishers, Boston (1996)

    Book  Google Scholar 

  33. 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 

  34. Nagurney, A., Yu, M., Besik, D.: Supply chain network capacity competition with outsourcing: a variational equilibrium framework. J. Glob. Optim. 69(1), 231–254 (2017)

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  37. Natsios, A.S.: NGOs and the UN system in complex humanitarian emergencies: conflict or cooperation? Third World Q. 16(3), 405419 (1995)

    Article  Google Scholar 

  38. NOAA: Billion-dollar weather and climate disasters: overview (2017). Available at: https://www.ncdc.noaa.gov/billions/

  39. Roopanarine, L.: How pre-positioning can make emergency relief more effective. The Guardian 17 Jan 2013

    Google Scholar 

  40. Rose-Ackerman, S.: Charitable giving and “excessive” fundraising. Q. J. Econ. 97(2), 193–212 (1982)

    Article  Google Scholar 

  41. Sumpf, D., Isaila, V., Najjar, K.: The impact of the Syria crisis on Lebanon. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M. (eds.) Dynamics of Disasters: Key Concepts, Models, Algorithms, and Insights, pp. 269–308. Springer International Publishing, Switzerland (2016)

    Google Scholar 

  42. Toyasaki, F., Wakolbinger, T.: Impacts of earmarked private donations for disaster fundraising. Ann. Oper. Res. 221, 427–447 (2014)

    Article  MathSciNet  Google Scholar 

  43. Toyasaki, F., Daniele, P., Wakolbinger, T.: A variational inequality formulation of equilibrium models for end-of-life products with nonlinear constraints. Eur. J. Oper. Res. 236(1), 340–350 (2014)

    Article  MathSciNet  Google Scholar 

  44. 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 

  45. von Heusinger, A.: Numerical Methods for the Solution of the Generalized Nash Equilibrium Problem. PhD Dissertation, University of Wurtburg, Germany (2009)

    MATH  Google Scholar 

  46. Watson, C., Caravani, A., Mitchell, T., Kellett, J., Peters, K.: 10 things to know about finance for reducing disaster risk, Overseas Development Institute, London, England (2015)

    Google Scholar 

  47. Western Massachusetts Regional Homeland Security Advisory Council: June 1, 2011 tornado response: After action report and improvement plan (2012). Available at: http://www.wrhsac.org/frcog/Mass%20Tornado%20AAR%20IP%20Jan%202012.pdf

  48. Yu, P.L.: Multiple Criteria Decision Making Concepts, Techniques, and Extensions. Plenum Press, New York (1985)

    Google Scholar 

  49. Zhuang, J., Saxton, G., Wu, H.: Publicity vs. impact in nonprofit disclosures and donor preferences: A sequential game with one nonprofit organization and N donors. Ann. Oper. Res. 221(1), 469–491 (2014)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This paper is dedicated to the memory of Professor Martin J. Beckmann, Professor Emeritus at Brown University, who passed away on April 11, 2017 at the age of 92. He was a renowned scholar in transportation science, regional science, and operations research, and his work on network equilibria has had a profound impact on both theory and practice.

The first author acknowledges support from the Radcliffe Institute for Advanced Study at Harvard University where she was a 2017 Summer Fellow. The second author acknowledges support from the project PON SCN_00451 CLARA—CLoud plAtform and smart underground imaging for natural Risk Assessment, Smart Cities and Communities and Social Innovation.

The authors acknowledge the co-organizers of the 3rd Dynamics of Disasters conference as well as the participants for a stimulating conference and discussions. They also thank 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., Daniele, P., Flores, E.A., Caruso, V. (2018). A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds. 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_6

Download citation

Publish with us

Policies and ethics