An investigation of the undesirable outputs congestion in data envelopment analysis
نویسندگان
چکیده
منابع مشابه
Modeling Undesirable Outputs in Data Envelopment Analysis: Various Approaches
The general practice in performance and production efficiency measurement has been to ignore additional products of most transformation processes that can be classified as " undesirable outputs " — which are a subset of the output set. Without the inclusion of these factors, the efficiency evaluation becomes a purely technical measure of the system alone, and does not account for the interactio...
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A fundamental problem is the use of DEA in multistep or multilevel processes such as supply chain, lack of attention to processes’ internal communications in a way that the recent studies on DEA in the context of serial processes have focused on closed systems that the outputs of one level become the inputs of the next level and none of the inputs enter the mediator process. The present study a...
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Congestion is one of the main issues in data envelopment analyses which have particular importance. Recently researches about congestion, whether in economic articles or in Operations Research articles in had grown increasingly. Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. In economics, congestion is very important because...
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The changing economic conditions have challenged many organizations to search for more effective performance measurement methods. Data envelopment analysis (DEA) is a widely used mathematical programming approach for comparing the inputs and outputs of a set of homogeneous decision making units (DMUs) by evaluating their relative efficiency. Performance measurement in the conventional DEA is ba...
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ژورنال
عنوان ژورنال: Nexo Revista Científica
سال: 2020
ISSN: 1995-9516,1818-6742
DOI: 10.5377/nexo.v33i02.10785