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Amiri M, Bamdadsoorf J, Mansouri mohammad abadi S. provide a Model for Performance Evaluation of Decision Making Units by Using Common Weight Model of Data Envelopment Analysis Approach. Journal of Operational Research and Its Applications. 2018; 15 (1) :1-18
URL: http://jamlu.liau.ac.ir/article-1-1137-en.html
Assistant Professor Department of Industrial management, Allameh Tabatabai University, Tehran
Abstract:   (2549 Views)

 In this article, we analyzed the efficiency of food and beverage companies that were accepted in stock market, using a nonlinear model. This model eliminates the weak points of base Data Envelopment Models in high computing, lack of integration and too many numbers of zero weights. Taking into account that in this study we developed the base Data Envelopment Analysis model, the research method is developmental in terms of purpose. Also, due to using the suggested model in determining the efficiency of food and beverage companies is practical. The indices of the study were obtained from previous studies and in order to confirm these indices, the opinions of 5 stock market and university experts were considered. The data for the present study and the actual value of these indices was obtained from codal.ir website according to each company’s financial situation. In this study, by making use of coding in Lingo software, the efficiency of selected companies was calculated in CCR and two common weight methods. In order to validate the suggested model, by calculating Spearman correlation coefficient, it was indicated that the suggested model has significant correlation with two other models and it was confirmed in terms of validation. The average of proposed model is also equal to 0.81 that is reduced in comparison to CCR model and shows the distinguishability of the model in comparison to CCR base model. Results show that the proposed model in addition to elimination of weak points of classic base models, including high computing, lack of integration and too many numbers of zero weights, has a high authenticity and pretty good distinguishability.

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Type of Study: Research | Subject: Special
Received: 2015/11/23 | Accepted: 2016/06/9 | Published: 2018/03/11

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