Skip to main content
SpringerLink
Log in

Emergency Distribution Scheduling with Maximizing Marginal Loss-Saving Function

  • Conference paper
Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 10))

Abstract

In this paper, we focus on the problem that reduces the loss of human lives and properties as much as possible in emergency response management. This problem is formulated as a combinatorial optimal problem of emergency resource allocation and distribution. Firstly we propose an exponential marginal loss-saving function as a decision-making tool to allocate the scarce emergency resource. Secondly, we propose an emergency distribution scheduling model through introducing time-space network, and then construct an integrated model that combined the marginal loss-saving function and time-space-based distribution model. Finally, we explore the optimal solution of this combinatorial problem through a numerical example. Our work in this paper can provide a tactical and operational method to allocate scarce emergency resource and make distribution scheduling for emergency response agencies.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sheu, J.B.: Challenges of emergency logistics management. Transport Res E-Log (2007), doi:10.1016/j.tre.2007.01.001

    Google Scholar 

  2. Barbarosoglu, G., Özdamar, L., Çevik, A.: An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. Eur. J. Oper. Res (2002), doi:10.1016/S0377-2217(01)00222-3

    Google Scholar 

  3. Tzeng, G.H., Cheng, H.J., Huang, T.D.: Multi-objective optimal planning for designing relief delivery systems. Transport Res. E-Log. (2007), doi:10.1016/j.tre.2006.10.012

    Google Scholar 

  4. Chang, M.S., Tseng, Y.L., Chen, J.W.: A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transport Res. E-Log (2007), doi:10.1016/j.tre.2006.10.013

    Google Scholar 

  5. Yuan, Y., Wang, D.W.: Path selection model and algorithm for emergency logistics management. Compu. Ind. Eng. (2009), doi:10.1016/j.cie.2008.09.033

    Google Scholar 

  6. Nolz, P., Doerner, K., Gutjahr, W., Hartl, R.: A bi-objective metaheuristic for disaster relief operation planning. Adv. Adv. in Multi-Obj. Nature Inspired Computing (2010), doi:10.1007/978-3-642-11218-8_8

    Google Scholar 

  7. Yi, W., Kumar, A.: Ant colony optimization for disaster relief operations. Transport Res. E-Log. (2007), doi:10.1016/j.tre.2006.05.004

    Google Scholar 

  8. Yi, W., Ozdamar, L.: A dynamic logistics coordination model for evacuation and support in disaster response activities. Eur. J. Oper. Res (2007), doi:10.1016/j.ejor.2005.03.077

    Google Scholar 

  9. Chiu, Y., Zheng, H.: Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: model formulation and solution. Transport Res. E-Log (2007), doi:10.1016/j.tre.2006.11.006

    Google Scholar 

  10. Yan, S.Y., Shih, Y.L.: Optimal scheduling of emergency roadway repair and subsequent relief distribution. Comput. Oper. Res (2009), doi:10.1016/j.cor.2008.07.002

    Google Scholar 

  11. Ozdarmar, L., Ekinci, D., Kucukyazici, B.: Emergency logistics planning in Natural Disasters. Ann. Oper. Res. (2004), doi:10.1023/B:ANOR.0000030690.27939.39

    Google Scholar 

  12. Barbarosoglu, G., Arda, Y.: A two-stage stochastic programming framework for transportation planning in disaster response. J. Oper. Res. Soc. (2004), http://www.jstor.org/stable/4101826

  13. Sheu, J.B.: An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transport Res. E-Log. (2007), doi:10.1016/j.tre.2006.04.004

    Google Scholar 

  14. Sheu, J.B.: Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transport Res. E-Log. (2010), doi:10.1016/j.tre.2009.07.005

    Google Scholar 

  15. Gong, Q., Batta, R.: Allocation and reallocation of ambulances to casualty clusters in a disaster relief operation. IIE Trans. (2007), doi:10.1080/07408170600743938

    Google Scholar 

  16. Arora, H., Raghu, T.S., Vinze, A.S.: Resource allocation for demand surge mitigation during disaster response. Decis. Support Syst (2010), doi:10.1016/j.dss.2010.08.032

    Google Scholar 

  17. Wright, P.D., Matthew, J.L., Robert, L.N.: A survey of operations research models and applications in homeland security. Interfaces (2006), doi:10.1287/inte.1060.0253

    Google Scholar 

  18. Green, L.V., Kolesar, P.J.: Improving Emergency Responsiveness with Management Science. Manage. Sci (2004), http://www.jstor.org/stable/30046126

  19. Altay, N., Green, W.G.: OR/MS research in disaster operations management. Eur. J. Oper. Res. (2006), doi:10.1016/j.ejor.2005.05.016

    Google Scholar 

  20. Simpson, N., Hancock, P.: Fifty years of operational research and emergency response. J. Oper. Res. Soc. (2009), doi:10.1057/jors.2009.3

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Southeast University, Nanjing, China, 210096

    Yiping Jiang & Lindu Zhao

Authors
  1. Yiping Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lindu Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Graduate School of Information, Production and Systems (IPS), Waseda University, 2-7 Hibikino Wakamatsuku, 808-0135, Fukuoka, Kitakyushu, Japan

    Junzo Watada

  2. Sellinger School of Business and Management, Loyola University Maryland, 4501 N Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  3. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus Adelaide, 5095, South Australia, SA, Australia

    Lakhmi C. Jain

  4. KES International, Shoreham-by-seaWest Sussex, PO Box 2115, BN43 9AF, United Kingdom

    Robert J. Howlett

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jiang, Y., Zhao, L. (2011). Emergency Distribution Scheduling with Maximizing Marginal Loss-Saving Function. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22194-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22193-4

  • Online ISBN: 978-3-642-22194-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation