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Showing 4 results for Common Weight

J. Pourmahmoud, Z. Zeynali,
Volume 14, Issue 1 (4-2017)
Abstract

In traditional DEA models, one faces the challenge of zero and unequal weights for evaluating each decision-making unit (DMU). On the other hand, for measuring the efficiency in these models, the system is considered as a black box, disregarding its internal processes. One of the strategies applied to deal with this problem is to use common weights of each input/output in all DMUs. In practice, most decision-making units evaluated together include internal processes with different structures, referred to as network structure. Similar to the traditional DEA models, a challenge exists for the network structures. In a number of cases, common weight sets in two-stage network structure have been proposed that do not include network general structures. This paper aims at proposing the same challenge for network general structures to solve the problem of network general structures through a newly proposed model of common weights set. The models are applied on kao’s examples to illustrate the results.


M. Amiri, J. Bamdadsoorf, S. Mansouri Mohammad Abadi,
Volume 15, Issue 1 (4-2018)
Abstract

 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.


H. Amirteimoori, A. Amirteimoori, M. Karbasian,
Volume 17, Issue 2 (5-2020)
Abstract

Data envelopment analysis (DEA) is a widely used modeling technique in the field of operations research that its various applications have been reported in different sectors of industry in the last three decades. In this paper, a performance evaluation model is proposed to analyze the performance of provincial gas companies when there are undesirable outputs. The managerial disposability assumption is used to handle undesirable outputs. In the following, a ranking procedure based on common weights is proposed. Finally, twenty-nine provincial gas companies will be evaluated and analyzed.
E. Alipour Chavari , M. Rostamy-Malkhalifeh , F. Hosseinzadeh Lotfi,
Volume 19, Issue 1 (3-2022)
Abstract

Choosing a superior Internet network by users or providing a desirable Internet network by ISPs is always one of the important decision issues in this area. Choosing a unique optimal network from among the best networks is still a big challenge. The purpose of this paper is to use the data envelopment analysis (DEA) decision-making technique to evaluate the existing Internet networks in order to select the most desirable network. In this way, we first simulate a specific Internet network to ensure the quality of user service. Various models have been proposed to ensure the quality of service, including the distinctive service network provided by the IETF. In the distinctive service architecture, no access control mechanism is considered. To ensure service quality, a distinct service network must support an access control mechanism. In order to access the control mechanism to give the best results, the network parameters must be considered in such a way as to minimize the amount of loss and latency while increasing the network efficiency. Then, presenting a new common weight model in DEA, we select the most desirable network, and finally, using the presented model, evaluate and rank 33 simulated Internet networks, and the output of the evaluation is the ranking of these 33 Internet networks that select networks with high rankings as the most desirable network.

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