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Location and Distribution Management of Relief Centers: A Genetic Algorithm Approach

Author

Listed:
  • Medhi Najafi

    (Department of Industrial Engineering, Sharif University of Technology, Azadi Avenue, 14598, Tehran, Iran)

  • Reza Zanjirani Farahani

    (Department of Informatics and Operations Management, Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, Surrey KT2 7LB, United Kingdom)

  • Marisa P. De Brito

    (NHTV-Breda University of Applied Sciences, P.O. Box 3917, 4800 DX Breda, The Netherlands)

  • Wout Dullaert

    (VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands;
    Institute of Transport and Maritime Management Antwerp, University of Antwerp, Kipdorp 59, 2000 Antwerp, Belgium)

Abstract

Humanitarian logistics is regarded as a key area for improved disaster management efficiency and effectiveness. In this study, a multi-objective integrated logistic model is proposed to locate disaster relief centers while taking into account network costs and responsiveness. Because this location problem is NP-hard, we present a genetic approach to solve the proposed model.

Suggested Citation

  • Medhi Najafi & Reza Zanjirani Farahani & Marisa P. De Brito & Wout Dullaert, 2015. "Location and Distribution Management of Relief Centers: A Genetic Algorithm Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 769-803.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:04:n:s0219622014500382
    DOI: 10.1142/S0219622014500382
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    Cited by:

    1. Aslihan Yildiz & Ertugrul Ayyildiz & Alev Taskin Gumus & Coskun Ozkan, 2020. "A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 365-384, March.

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