APPLICATION OF ANALYTIC HIERARCHY PROCESS IN MULTI-OBJECTIVE MIXED INTEGER PROGRAMMING FOR AIRLIFT CAPACITY PLANNING

Barry Stannard (), Sajjad Zahir () and Earl S. Rosenbloom ()
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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

Asia-Pacific Journal of Operational Research (APJOR), 2006, vol. 23, issue 01, 61-76

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).

Keywords: Decision model; AHP; scheduling; sequencing; capacity planning; multi-objective linear programming; mixed integer programming (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595906000760

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