A hybrid approach of goal programming for weapon systems selection

• Published in: Computers & industrial engineering 2010-04, Vol.58 (3), p.521-527
• Main Authors: Lee, Jaewook, Kang, Suk-Ho, Rosenberger, Jay, Kim, Seoung Bum
• Format: Article
• Language: English
• Subjects: Analytic hierarchy process; Goal programming; Hierarchies; Military strategy; Multiple criteria decision analysis; Multiple criteria decision making; Principal component analysis; Principal components analysis; Problem solving; Studies; Weapon systems
• ISSN: 0360-8352; 1879-0550
• DOI: 10.1016/j.cie.2009.11.013

Because weapon systems are perceived as crucial in determining the outcome of a war, selecting weapon systems is a critical task for nations. Just as with other forms of decision analysis involving multiple criteria, selecting a weapon system poses complex, unstructured problems with a huge number of points that must be considered. Some defense analysts have committed themselves to developing efficient methodologies to solve weapon systems selection problems for the Republic of Korea’s (ROK) Armed Forces. In the present study, we propose a hybrid approach for weapon systems selection that combines analytic hierarchy process (AHP) and principal component analysis (PCA) to determine the weights to assign to the factors that go into these selection decisions. These weights are inputted into a goal programming (GP) model to determine the best alternative among the weapon systems. The proposed hybrid approach that combines AHP, PCA and GP process components offsets the shortcomings posed by obscurity and arbitrariness in AHP and therefore can provide decision makers with more reasonable and realistic decision criteria than AHP alone. A case study on weapon system selection for the air force demonstrates the usefulness and effectiveness of the proposed hybrid AHP–PCA–GP approach.