نتایج جستجو برای: network dea
تعداد نتایج: 678961 فیلتر نتایج به سال:
traditional dea models deal with measurements of relative eciency ofdmus regarding multiple - inputs vs. multiple-outputs. one of the drawbacksof these model is the neglect of intermediate products or linkong activities. af-ter pointing out needs for inclusion of them to dea models. we propose hybridmodel that can deal with intermediate products formally using this model wecan evaluate divisio...
energy, due to its increasing usage in various broad areas has been maintained as a vital factor in economic growth and development of societies. meanwhile, natural gas is considered as one of the most important energy sources. therefore, the efficiency and the productivity of the gas companies are crucial to be assessed. numerous examples from industrial multistage processes including internal...
In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense of Lyapunov and globally convergent to the optimal solution of CCR model. The proposed model has...
Supply chain performance evaluation problems are complex problems with multiple criteria and multi-layered internal linking activities. Data Envelopment Analysis (DEA) has been used to evaluate the relative performance of organizational units called Decision Making Units (DMUs). However, the conventional DEA models cannot take into account the complex nature of supply chains with internal linki...
Data envelopment analysis (DEA) is a well-Known method in efficiency evaluation of a set of decision making units (DMUs) such as organizations and banks. An advantage of DEA technique is selection of weights at random. Weight selection is of crucial importance in efficiency evaluation. In this regard, it is important to employ models that have more freedom in selecting weights. One such model i...
In the conventional data envelopment analysis (DEA) internal sub-processes of the production units are ignored. The current paper develops a network-DEA super-efficiency model to compare the performance of efficient network systems. A new ranking method is developed by aggregating the computed super-efficiency scores with a J-divergence measure. The proposed approach is then applied to evaluate...
Two stages DEA models are used in many fields of management and industry. One of the concepts that has attracted the attention of researchers in the theory of production is the concept of ranking the units with a two-stage network. A unit ranking can provide useful information to decision makers (DMUs) about optimal decision making activities. This concept defines the superiority of a unit in t...
تحلیل پوششی دادهها(DEA) ابزار قدرتمندی به منظور ارزیابی عملکرد واحدهای تصمیمگیرنده است که برخی از چندین مرحله تشکیل شدهاند و یک شبکه از زیرفرآیندها را ایجاد میکنند. برخی محققان برای ارزیابی این نوع واحدها از روشهای تحلیل پوششی دادههای شبکهای(DEA Network) استفاده میکنند. دو نوع متفاوت از ورودی (ورودی متغیر و شبه ثابت) تحت چارچوب DEA Network گنجانده شده است. ورودی شبه ثابت بعنوان خروجی د...
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,...
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