Skip to main content

An Approach of Modeling for Humanitarian Supplies

  • Chapter
  • 1998 Accesses

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

The purpose of this paper is to scrutinize the nature of the humanitarian aid supply chain and discuss the degree to which certain business supply chain concepts. The main objective of this paper is to develop a comprehensive model to find the optimal location of supplies and to assist planners during the design of the logistics efforts for humanitarian relief that mitigates and reduces the risk of disruption on the humanitarian aid. In this paper, we develop a mathematical model for location-routing models and pre-position of supplies for disaster areas. Our main purpose is the use of integer programming model to find the optimal location of supplies. It is shown that the problem can be solved more effectively and efficiently even for medium- and large-scale transportation networks.

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

References

  • Akkihal AR (2006) Pre-positioning for humanitarian operations. MS thesis, Massachusetts Institute of Technology

    Google Scholar 

  • Berger RT, Coullard CR, Daskin MS (2007) Location-routing problems with distance constraints. Transp Sci 41(1):29–43

    Article  Google Scholar 

  • Berman O, Krass D (2002) Chapter 11: Facility location problems with stochastic demands and congestion. In: Facility location: applications and theory. Springer, Berlin, p 329

    Chapter  Google Scholar 

  • Cooper MC, Lambert DM, Pagh JD (1997) Supply chain management: more than a new name for logistics. Int J Log Manage 8(1):1–14

    Article  Google Scholar 

  • Croom S, Romano P, Giannakis M (2000) Supply chain management: an analytical framework for critical literature review. Eur J Purch Supply Manage 6(1):67–83

    Article  Google Scholar 

  • Dahlhamer J, D’Souza M (1997) Determinants of business disaster preparedness. Int J Mass Emerg Disasters 15(2):265–268

    Google Scholar 

  • Daskin MS (1995) Network and discrete location: models, algorithms, and applications. Wiley Interscience, New York

    Book  Google Scholar 

  • Daskin MS, Coullard CR, Shen ZJM (2002) An inventory-location model: formulation, solution algorithm and computational results. Ann Oper Res 110(1–4):83–106

    Article  Google Scholar 

  • Daskin MS, Hogan K, ReVelle C (1988) Integration of multiple, excess, backup, and expected covering models. Environ Plann B 15(1):15–35

    Article  Google Scholar 

  • Desrosiers J, Soumis F, Desrochers M (1984) Routing with time windows by column generation. Networks 14(4):545–565

    Article  Google Scholar 

  • Geoffrion AM, Graves GW (1974) Multicommodity distribution system design by benders decomposition. Manage Sci 20(5):822–844

    Article  Google Scholar 

  • Harrald JR, Barbera J, Renda-Tanali I, Coppola D, Shaw GL (2002) Observing and documenting the Iinter-organizational response to the September 11th Attack on the Pentagon, NSF Report. National Science Foundation, Arlington

    Google Scholar 

  • Iakovou E, Douligeris C (2001) An information management system for the emergency management of hurricane disasters. Int J Risk Assess Manage 2(3–4):243–262

    Article  Google Scholar 

  • Joseph GW, Couturier GW (1993) Essential management activities to support effective disaster planning. Int J Inform Manage 13(5):315–325

    Article  Google Scholar 

  • Kartez J, Lindell MK (1987) Planning for uncertainty. Am Plan Assoc J 53:487–498

    Article  Google Scholar 

  • Laporte G, Nobert Y, Taillefer S (1988) Solving a family of multi-depot vehicle routing and location-routing problems. Transport Sci 22:161–172

    Article  Google Scholar 

  • McHugh CP (1995) Preparing public safety organizations for disaster response: a study of Tucson, Arizona’s response to flooding. Disaster Prev Manage 4(5):25–36

    Article  Google Scholar 

  • Mentzer JT, DeWitt W, Keebler JS, Min S, Nix NW, Smith CD, Zacharia ZG (2001) Defining supply chain management. J Bus Log 22(2):1–25

    Article  Google Scholar 

  • Mirchandani PB, Francis RL (1990) Discrete location theory. Wiley, New York

    Google Scholar 

  • Oloruntoba R, Gray R (2006) Humanitarian aid: an agile supply chain? Supply Chain Manage 11(2):115–120

    Article  Google Scholar 

  • Perl J, (1983) A unified warehouse location-routing analysis. Ph.D. Dissertation, Department of Civil Engineering, Northwestern University, Evanston

    Google Scholar 

  • Perl J, Daskin MS (1985) A warehouse location-routing problem. Trans Res Part B Methodol 19(5):381–396

    Article  Google Scholar 

  • Snyder LV (2006) Facility location under uncertainty: a review. IIE Trans 38(7):547–564

    Article  Google Scholar 

  • Snyder LV, Daskin MS (2006) Stochastic p-robust location problems. IIE Trans 38(11):971–985

    Article  Google Scholar 

  • Warwick M (1995) Painful lessons in crisis mismanagement. Commun Int 22(2):4–5

    Google Scholar 

  • Webb G, Tierney K, Dahlhamer J (2000) Businesses and disasters: empirical patterns and unanswered questions. Natural Hazards Rev 1(1):83–90

    Article  Google Scholar 

  • Witt JL (1997) National mitigation strategy: partnerships for building safer communities. Diane Publishing, Washington

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Devendra Kumar Dewangan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer India

About this chapter

Cite this chapter

Dewangan, D.K., Agrawal, R., Sharma, V. (2016). An Approach of Modeling for Humanitarian Supplies. In: Sahay, B., Gupta, S., Menon, V. (eds) Managing Humanitarian Logistics. Springer Proceedings in Business and Economics. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2416-7_11

Download citation

Publish with us

Policies and ethics