Skip to main content

A Decision Support System for Humanitarian Network Design and Distribution Operations

  • Chapter
  • First Online:

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 54))

Abstract

In this paper, we model the situation faced by decision-makers in the first hours following a disaster when they have to deploy a humanitarian aid distribution network. This is done by first determining the number and the choice of depots to be opened and then by planning the distribution of humanitarian aid from these depots towards the affected people. We propose a decision support system (DSS) to help decision-makers in these tasks. The DSS is built around mathematical models that provide answers to the network design and distribution problems, and is completed by a multi-criteria analysis module. The DSS also provides a complete interface to display the problem’s geographic structure, including distribution routes and the location of network nodes.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    Clearly, other classes/functions are possible. For example, the Pan American Health Organization (PAHO 2001) and the US Government use a standard operational classification for donated relief supplies composed of 10 broad classes: medicines, health supplies/equipment, water and environmental health, food, shelter/electrical/construction, logistics/administration, human resources, personal needs/education, agriculture/livestock and unclassified.

References

  • Altay N, Green WG III. OR/MS research in disaster operations management. Eur J Oper Res. 2006;175:475–93.

    Article  Google Scholar 

  • Balcik B, Beamon BM. Facility location in humanitarian relief. Int J Logist Res App. 2008;11:101–21.

    Article  Google Scholar 

  • Balcik B, Beamon BM, Krejci CC, Muramatsu KM, Ramirez M. Coordination in humanitarian relief chains: practices, challenges and opportunities. Int J Prod Econ. 2010;126:22–34.

    Article  Google Scholar 

  • Balcik B, Beamon BM, Smilowitz K. Last mile distribution in humanitarian relief. J Intell Trans Syst. 2008;12:51–63.

    Google Scholar 

  • Bana e Costa CA, De Corte JM, Vansnick JC. On the mathematical foundations of MACBETH. In: Figueira J, Greco S, Ehrgott M, editor. Multiple criteria decision analysis: state of the art surveys. New York: Springer; 2005. pp. 409–42.

    Google Scholar 

  • Berkoune D, Renaud J, Rekik M, Ruiz A. Transportation in disaster response operations. Socio Econ Plan Sci. 2012;46:23–32.

    Article  Google Scholar 

  • Bumgarner JB. Emergency Management: Contemporary world issues. Santa Barbara: ABC-CLIO, Inc.; 2008. ISBN 978-1-59884-110-7.

    Google Scholar 

  • Canton LG. Emergency management: Concepts and strategies for effective programs. Wiley; 2007. ISBN 978-0-471-73487-1.

    Google Scholar 

  • Caunhye AM, Nie X, Pokharel S. Optimization models in emergency logistics: a literature review. Socio Econ Plan Sci. 2012;46:4–13.

    Article  Google Scholar 

  • de la Torre LE, Dolinskaya IS, Smilowitz KR. Disaster relief routing: integrating research and practice. Socio Econ Plan Sci. 2012;46:88–97.

    Article  Google Scholar 

  • Dekle J, Lavieri MS, Martin E, Emir-Farinas H, Francis RL. A Florida county locates disaster recovery centers. Interfaces. 2005;35:133–9.

    Article  Google Scholar 

  • Haddow GD, Bullock JA, Coppola DP. Introduction to emergency management. Butterworth-Heinemann homeland security series. Oxford: Elsevier; 2008.

    Google Scholar 

  • Haghani A, Oh S-C. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transport Res A. 1996;30:231–50.

    Google Scholar 

  • Hwang CL, Yoon KL. Multiple attribute decision making: methods and applications. New-York: Springer-Verlag; 1981.

    Book  Google Scholar 

  • Jahanshahloo GR, Hosseinzadeh Lotfi F, Izadikah M. An algorithmic method to extend TOPSIS for decision-making problems with interval. Appl Math Comput. 2006;1755:1375–84.

    Article  Google Scholar 

  • Kavács G, Spens KM. Humanitarian logistics in disaster relief operations. Int J Phys Distrib Logist Manag. 2007;37:99–114.

    Article  Google Scholar 

  • Lindell MK, Prater C, Perry RW. Introduction to emergency management. Wiley; 2007. ISBN 978-0-471-77260-6.

    Google Scholar 

  • Minciardi R, Sacile R, Trasforini E. A decision support system for resource intervention in real-time emergency management. IJEM. 2007;4:59–71.

    Article  Google Scholar 

  • Naji-Azimi ZN, Renaud J, Ruiz A, Salari M. A covering tour approach to the location of satellite distribution centers to supply humanitarian aid. Eur J Oper Res. 2012;222(3):596–605.

    Article  Google Scholar 

  • Nolz PC, Semet F, Doerner KF. Risk approaches for delivering disaster relief supplies. OR Spect. 2011;33:543–69.

    Article  Google Scholar 

  • Overstreet RE, Hall D, Hanna JB, Rainer RK. Research in humanitarian logistics. JHLSCM. 2011;1:114–31.

    Google Scholar 

  • Özdamar L, Ekinci E, Küçükyazici B. Emergency logistics planning in natural disasters. Ann Oper Res. 2004;129(1–4):217–45.

    Google Scholar 

  • Pan American Health Organization. Humanitarian supply management in logistics in the health sector. Washington, D.C.: PAHO; 2001. ISBN 92 75 12375 6.

    Google Scholar 

  • Rekik M, Ruiz A, Renaud J, Berkoune D. A decision support system for distribution network design for disaster response. Working paper CIRRELT-2011-036, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation; 2011.

    Google Scholar 

  • Rubin CB. Emergency management: The American experience 1900–2005. Fairfax: Public Entity Risk Institute; 2007. ISBN 978-0-9793722-0-9.

    Google Scholar 

  • Shih H-S, Shyur H-J, Lee ES. An extension of TOPSIS for group decision making. Math Comput Model. 2007;45:801–13.

    Article  Google Scholar 

  • Yuan Y, Wang D. Path selection model and algorithm for emergency logistics management. Comput Ind Eng. 2009;56:1081–94.

    Article  Google Scholar 

  • Thompson S, Altay N, Green WG III, Lapetina J. Improving disaster response efforts with decision support systems. IJEM. 2007;3:250–63.

    Article  Google Scholar 

  • Tzeng G-H, Cheng H-J, Huang TD. Multi-objective optimal planning for designing relief delivery systems. Transport Res E. 2007;43:673–86.

    Article  Google Scholar 

  • Velasquez JD, Yoon SW, Nof SY. Computer-based collaborative training for transportation security and emergency response. Comput Ind. 2010;61:380–9.

    Article  Google Scholar 

  • Vitoriano B, Ortuño MT, Tirado G, Montero J. A multi-criteria optimization model for humanitarian aid distribution. J Global Optim. 2011;51:189–208.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jacques Renaud .

Editor information

Editors and Affiliations

Appendix A: Screen Shots of the Decision Support System

Appendix A: Screen Shots of the Decision Support System

figure a

After running the location module (models M1–M3), the system displays the open depots, the demand points as well as their level of demand satisfaction. Aggregated performance indicators are also displayed.

figure b

The system displays the solution provided by the distribution module, and we can select any route to retrieve its relevant information.

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Rekik, M., Ruiz, A., Renaud, J., Berkoune, D., Paquet, S. (2013). A Decision Support System for Humanitarian Network Design and Distribution Operations. In: Zeimpekis, V., Ichoua, S., Minis, I. (eds) Humanitarian and Relief Logistics. Operations Research/Computer Science Interfaces Series, vol 54. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7007-6_1

Download citation

Publish with us

Policies and ethics