Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. This paper builds a relational network DEA model, taking into account the interrelationship of the processes within the system, to measure the efficiency of the system and those of the processes at the same time. The system efficiency thus measured more properly represents the aggregate performance of the component processes. By introducing dummy processes, the original network system can be transformed into a series system where each stage in the series is of a parallel structure. Based on these series and parallel structures, the efficiency of the system is decomposed...
Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the r...
Abstract: Problem statement: The aim of this study was to compute disaggregate performance measures ...
We introduce in this paper the notion of dominance in the divisional efficiencies space in Network D...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
Zha and Liang [10] develop an approach for measuring the efficiency of two-process production system...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Data envelopment analysis (DEA) has been widely applied in measuring the efficiency of homogeneous d...
International audienceMany different network data envelopment analysis (DEA) models have been built ...
Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluat...
Two-stage network data envelopment analysis (DEA) is widely used to evaluate efficiency of different...
Data envelopment analysis (DEA) has been widely used to measure the performance of the ope...
An efficiency measurement model of a university faculty is proposed with additional new sub-function...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Data envelopment analysis (DEA) works like a black box that does not provide any adequate detail to ...
Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the r...
Abstract: Problem statement: The aim of this study was to compute disaggregate performance measures ...
We introduce in this paper the notion of dominance in the divisional efficiencies space in Network D...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
Zha and Liang [10] develop an approach for measuring the efficiency of two-process production system...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Data envelopment analysis (DEA) has been widely applied in measuring the efficiency of homogeneous d...
International audienceMany different network data envelopment analysis (DEA) models have been built ...
Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluat...
Two-stage network data envelopment analysis (DEA) is widely used to evaluate efficiency of different...
Data envelopment analysis (DEA) has been widely used to measure the performance of the ope...
An efficiency measurement model of a university faculty is proposed with additional new sub-function...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Data envelopment analysis (DEA) works like a black box that does not provide any adequate detail to ...
Problem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the r...
Abstract: Problem statement: The aim of this study was to compute disaggregate performance measures ...
We introduce in this paper the notion of dominance in the divisional efficiencies space in Network D...