Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model
نویسندگان
چکیده
منابع مشابه
Decomposition weights and overall efficiency in two-stage additive network DEA
Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to ...
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Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and t...
متن کاملTwo-stage network DEA-R based on value efficiency
It is essential for most organizations and financial institutes to be able to evaluate their decision-making units (DMUs), when there is only a ratio of inputs to outputs (or vice versa) available. In this paper, we will propose our two-stage DEA-R models, which are a combination of data envelopment analysis and ratio data, based on value efficiency. Integrating value efficiency into data envel...
متن کاملNetwork DEA: Additive efficiency decomposition
Article history: Received 1 May 2009 Accepted 5 May 2010 Available online 9 May 2010
متن کاملCost efficiency in three stage network DEA-R processes
In many organizations and financial institutions, we don't always have acsses to inputs and outputs to evaluate the decision-making units (DMUs), but rather only a ratio of inputs to outputs ( or reverse) might be available. In DEA, cost efficiency determines input standards based on input costs. In multi-stage network DEA processes, in addition to input standards, cost efficiency would determi...
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ژورنال
عنوان ژورنال: Journal of Management Science and Engineering
سال: 2017
ISSN: 2096-2320
DOI: 10.3724/sp.j.1383.203008