Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluation. Network models are new subjects in which, a DMU with all its subunits and links is considered as a network structure. One of the most widely used DEA methods for network data is the suggested approach of Lewis and Sexton. In this approach, performance of each DMU is measured compared to a similar DMU by moving on the effective paths and then computing the final outputs and classic primary inputs . In reality, many cases can be found that an original input or an intermediate product allocates to several subunits or forms a tour in a network. In such networks, the approach of Lewis and Sexton is not able to calculate efficiency. Therefore,...
Conventional DEA models make no hypothesis concerning the internal operations in a static situation....
An efficiency measurement model of a university faculty is proposed with additional new sub-function...
Data Envelopment Analysis is a popular tool for assessing the relative efficiency of units, treated ...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inpu...
Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the ef...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
Two-stage network data envelopment analysis (DEA) is widely used to evaluate efficiency of different...
International audienceMany different network data envelopment analysis (DEA) models have been built ...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Ma...
Network data envelopment analysis (NDEA), one of the most important branches of recent DEA developme...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
Data envelopment analysis (DEA) works like a black box that does not provide any adequate detail to ...
Conventional DEA models make no hypothesis concerning the internal operations in a static situation....
An efficiency measurement model of a university faculty is proposed with additional new sub-function...
Data Envelopment Analysis is a popular tool for assessing the relative efficiency of units, treated ...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inpu...
Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the ef...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
Two-stage network data envelopment analysis (DEA) is widely used to evaluate efficiency of different...
International audienceMany different network data envelopment analysis (DEA) models have been built ...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Ma...
Network data envelopment analysis (NDEA), one of the most important branches of recent DEA developme...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
Data envelopment analysis (DEA) works like a black box that does not provide any adequate detail to ...
Conventional DEA models make no hypothesis concerning the internal operations in a static situation....
An efficiency measurement model of a university faculty is proposed with additional new sub-function...
Data Envelopment Analysis is a popular tool for assessing the relative efficiency of units, treated ...