Skip to main content

A Bi-level Programming Model for a Multi-facility Location-Routing Problem in Urban Emergency System

  • Conference paper
  • First Online:
Engineering Education and Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 111))

Abstract

This paper presents a bi-level programming model for a bi-objective multi-depot location-routing problem in urban emergency system. The problem is decomposed into two levels: the above objective is to maximize the total time satisfaction served and the second objective is to minimize the total cost, including the fixed and variable cost of the facilities and variable delivery cost. The improved genetic algorithm is used to solve the problem. The computational results show that the proposed model for location-routing problem is valid.

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

Access this chapter

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. Wei, Y., Arun, K.: Ant Colony Optimization for Disaster Relief Operations. Transportation Research Part E 43(6), 660–672 (2006)

    Google Scholar 

  2. Chang, M.S., Tseng, Y.L., Chen, J.W.: A Scenario Planning Approach for the Flood Emergency Logistics Preparation Problem under Uncertainty. Transportation Research, Part E, 737–754 (2007)

    Google Scholar 

  3. Sheu, J.B.: An Emergency Logistics Distribution Approach for Quick Response to Urgent Relief Demand in Disasters. Transportation Research Part, 687–709 (2007)

    Google Scholar 

  4. Nagy, G., Salhi, S.: Location-routing: issues, models and methods. European Journal of Operation Research, 649–672 (2007)

    Google Scholar 

  5. Yi, W., Özdamar, L.: A Dynamic Logistics Coordination Model for Evacuation and Support in Disaster Response Activities. European Journal of Operational Research 179(3), 1177–1193 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  6. Xu, Q., Ma, Z.J., Li, H.J.: Location-Routing Problem in Emergency Logistics for Public Emergencies. Journal of Huazhong University of Science and Technology (Nature Science Edition) 22(6), 65–68 (2008)

    Google Scholar 

  7. Zeng, M.G., Cui, Z.S., Yu, G.H.: Research on Location-Routing Problem of Relief System based on Emergency Logistics. Chinese Journal of Management Science 18(2), 75–80 (2010)

    Google Scholar 

  8. Tiao, X.M., Gong, J.: Observations on real coding genetic algorithm. Journal of Hunan Vocational College of Environment and Biology 11(1), 25–31 (2005)

    Google Scholar 

  9. Zhang, C.X., Dang, Y.Z.: A Novel Genetic Algorithm for Location-Routing Problem. Computer Engineering and Applications, 65–68 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hua-li, S., Xun-qing, W., Yao-feng, X. (2012). A Bi-level Programming Model for a Multi-facility Location-Routing Problem in Urban Emergency System. In: Zhang, L., Zhang, C. (eds) Engineering Education and Management. Lecture Notes in Electrical Engineering, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24823-8_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24823-8_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24822-1

  • Online ISBN: 978-3-642-24823-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics