Applications of data envelopment analysıs and principal component analysis to evaluate efficiency of air force squadrons.

Özarslan, Tamer
Main purpose of this thesis is to show how the efficiency of Turkish Airforce F-16 squadrons can be evaluated based on some predefined criteria by using leading techniques in science. There are 10 squadrons in the analysis with three types of outputs and two types of input variables. Namely, these are The Operational Flight Sorties, The Secondary Flight Sorties and The Level of Flight Education as outputs, and Manning and Aircraft Hours as inputs. When input data is aggregated, Analytic Hierarchy Process (AHP) is used with a survey. Efficiency analysis application is made according to several Data Envelopment Analysis (DEA) models, which are in different versions and formulations. Charnes. Cooper and Rhodes (CCR) is main DEA model type and additionally Imprecise Data Envelopment Analysis with Charnes, Cooper and Rhodes (IDEA-CCR) model including imprecise data is used. Furthermore, to improve the discriminating power of DEA models, Cone Ratio (CR) method is applied. Principal Component Analysis (PCA) is another method that is used in the study of evaluating ten squadrons. Finally, Data Envelopment Analysis and Principal Component Analysis results are compared with each other to understand the differences and possible improvement ways of each squadron. It is understood that Data Envelopment Analysis is more approriate to analyze squadrons' performance than Principal Component Analysis.


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Citation Formats
T. Özarslan, “Applications of data envelopment analysıs and principal component analysis to evaluate efficiency of air force squadrons.,” M.S. - Master of Science, Middle East Technical University, 2003.