Determining the Common Set of Weight in Data Envelopment Analysis with Linear Programs

Abstract

Data Envelopmemt Analysis (DEA) serves to assess efficiency in the use of resources (input) to achieve results (output) whose purpose is to maximize efficiency. DEA was first introduced by Charnes, Cooper dan Rhodes in 1978. DEA is a nonparametric approach which is basically the development of Linear Programming (LP). The characteristic of DEA CCR model is that it allows the DMU to measure the maximum efficiency value with the most favorable weight. The efficiency of the DMU obtained differs from the different sets of weight may not be comparable and rank on the same basis. In DEA model optional sets of input weight and output weight are usually assumed to represent the DMU that is considered the best to compare with all DMUs. This set of weights is usually different for each DMU. In this journal to determine the set of weights in the DEA is performed with a linear programs. After the linear program is determined, the value of the output weight and input weight is solved using the software POM-QM for Windows.