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

Michael A. Greiner, John Fowler, Dan Shunk, W. Matthew Carlyle, Ross T. McNutt

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)192-203
Number of pages12
JournalIEEE Transactions on Engineering Management
Volume50
Issue number2
DOIs
StatePublished - May 1 2003

Keywords

  • Analytic hierarchy process
  • Integer programming
  • R&D project selection
  • Research and development (R&D) management
  • Weapon systems

ASJC Scopus subject areas

  • Strategy and Management
  • Electrical and Electronic Engineering

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