A hybrid approach using the analytic hierarchy process and integer programming to screen weapon systems projects

• Published in: IEEE transactions on engineering management Vol. 50; no. 2; pp. 192 - 203
• Main Authors: Greiner, M.A., Fowler, J.W., Shunk, D.L., Carlyle, W.M., McNutt, R.T.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2003; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytic hierarchy process; Criteria; Decision making; Hierarchies; Integer programming; Integers; Methodology; Methods; Optimization; Project management; R&D; Research & development; Research and development management; Screening; Studies; Systems development; Weapon systems; Weapons; United States > US
• ISSN: 0018-9391; 1558-0040
• DOI: 10.1109/TEM.2003.810827

Screening weapon systems development projects is a complex, multicriteria decision problem that must be accomplished within a constrained resource environment. This paper presents a hybrid decision support methodology for use in the screening of weapon systems development projects. The hybrid methodology integrates the analytic hierarchy process (AHP) with a 0-1 integer portfolio optimization model. An AHP component allows the decision maker to incorporate qualitative and intangible criteria into the decision-making process and use the priority rankings of the AHP to represent a measure of value in the 0-1 integer model objective function. The hybrid methodology is extremely flexible and the decision maker can tailor both the AHP and the 0-1 integer optimization model to represent a specific decision-making situation. To fully appreciate the added value of implementing the hybrid screening methodology, a group of Air Force decision makers applied the hybrid methodology to a realistic weapon-systems project screening activity. Results indicate that decision support provided by the methodology could lead to substantial improvements in a weapon-systems portfolio value.