This study proposes a new approach which combines Data Envelopment Analysis (DEA) and the Analytic Hierarchy Process (AHP) techniques to effectively evaluate Decision Making Units (DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency when the AHP and DEA are combined simultaneously. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

Abstract
 1. Introduction
 2. The Proposed Approach
 3. Methodology
  3.1 The Weighted Priority weights DEA(WPDEA) Formulation
  3.2 The Steps of the WPDEA Approach
 4. Applications of WPDEA
  4.1 Bank Branches Evaluation
 5. Conclusion
 REFERENCE

• 김태성(금오공과대학교)
• 조남욱(한국산업대학교)
• 이종환(금오공과대학교)