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Application Of Analytic Hierarchy Process In Multi-Objective Mixed Integer Programming For Airlift Capacity Planning

Author

Listed:
  • BARRY STANNARD

    (Faculty of Management, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4, Canada)

  • SAJJAD ZAHIR

    (Faculty of Management, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4, Canada)

  • EARL S. ROSENBLOOM

    (I.H. Asper School of Business, University of Manitoba, Winnipeg, Manitoba, R3T 2N2, Canada)

Abstract

The analytic hierarchy process is combined with multi-objective mixed integer programming to determine the optimal allocation of a limited number of aircraft among a group of airlift users with varying levels of priority and length of usage. Canadian Forces airlift planners typically encounter such a capacity planning problem. The solution to this problem requires the constrained assignment ofnvariable length missions (tasks) integrating hundreds of airlift requests from several users with many priorities tomairframes (parallel machines).

Suggested Citation

  • Barry Stannard & Sajjad Zahir & Earl S. Rosenbloom, 2006. "Application Of Analytic Hierarchy Process In Multi-Objective Mixed Integer Programming For Airlift Capacity Planning," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 61-76.
    • Handle: RePEc:wsi:apjorx:v:23:y:2006:i:01:n:s0217595906000760
    DOI: 10.1142/S0217595906000760
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    Cited by:

    1. Ghada Elshafei & Dušan Katunský & Martina Zeleňáková & Abdelazim Negm, 2022. "Opportunities for Using Analytical Hierarchy Process in Green Building Optimization," Energies, MDPI, vol. 15(12), pages 1-24, June.
    2. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.

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