Volume 29, Issue 4 (Winter 2017)                   JMDP 2017, 29(4): 21-44 | Back to browse issues page

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Khalili J, Alinezhad A. Performance Evaluation of DMU’s Using Window DEA and Decision Tree. JMDP 2017; 29 (4) :21-44
URL: http://jmdp.ir/article-1-2562-en.html
1- Department of Industrial Engineering, Islamic Azad University, Qazvin
2- Department of Industrial Engineering, Islamic Azad University, Qazvin , alalinezhad@gmail.com
Abstract:   (6549 Views)
Efficiency is an issue of importance and interest to both managers of different organizations and customers who use the products and services of these organizations. The aim of this research is to study the efficiency of pharmaceutical companies accepted in the Stock Exchange Organization by using Window Data Envelopment Analysis (WDEA) and then, to provide some rules based on the decision tree. Window Data Envelopment analysis method, partly resolves the problem of inadequacy of the observations by enabling combination of time-series and cross-sectional observations. This method acts on the basis of moving average and it is of use for finding performance trends of a unit over time. In this research, regarding the inputs and outputs and using the method of Window Data Envelopment Analysis, efficiency of 23 pharmaceutical companies accepted in Stock Exchange Organization was evaluated in the state of constant returns to scale during 2009-2014, and then the results obtained were used as the class label of Decision Making Units (DMU’s), which are in fact inputs of decision tree metho d. Finally, using the decision tree, rules implicit in the data, are extracted.

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Type of Study: Research | Subject: Public Administration
Received: Dec 09 2016 | Accepted: Jul 30 2017 | ePublished: Jul 30 2017

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