Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. After pointing out needs for inclusion of them in DEA models, we propose a slacks-based network DEA model that can deal with intermediate products. Using this model we can evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).Data envelopment analysis, Network DEA, SBM, divisional efficiency, overall efficiency
Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluat...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Two-stage production systems are often encountered in many real applications where the production pr...
https://www.grips.ac.jp/list/facultyinfo/tone_kaoru/Traditional DEA models deal with measurements of...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-r...
In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-radial. Rad...
In this paper, we develop an integrated model for slacks- based measure (SBM) simultaneously of both...
In this paper, we develop an integrated model for slacks-based measure (SBM) simultaneously of both ...
A production network can be described as a collection of production processes performed by several i...
As a non-parametric technique, Data Envelopment Analysis (DEA) evaluates the relative efficiency of ...
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Ma...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluat...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Two-stage production systems are often encountered in many real applications where the production pr...
https://www.grips.ac.jp/list/facultyinfo/tone_kaoru/Traditional DEA models deal with measurements of...
Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative effic...
One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking ef...
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of ...
Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-r...
In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-radial. Rad...
In this paper, we develop an integrated model for slacks- based measure (SBM) simultaneously of both...
In this paper, we develop an integrated model for slacks-based measure (SBM) simultaneously of both ...
A production network can be described as a collection of production processes performed by several i...
As a non-parametric technique, Data Envelopment Analysis (DEA) evaluates the relative efficiency of ...
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Ma...
Data envelopment analysis (DEA) models assess decision-making units (DMUs), which directly convert m...
Data envelopment analysis (DEA) is known as one of the most common approaches for efficiency evaluat...
Network Data Envelopment Analysis (network DEA) is an extension of the conventional Data Envelop- me...
Two-stage production systems are often encountered in many real applications where the production pr...