Inverse data envelopment analysis (DEA) is a reversed optimization problem that can serve as a useful planning tool for managerial decisions by providing information such as how much resources (or outcomes) should be invested (or produced) to achieve a desired level of competitiveness whereas the conventional DEA focuses mainly on a post-hoc assessment of the organizational performance. Inverse DEA studies however are based on an assumption that the efficiency level of observed decision making units (DMUs) will not change within the period of interest, which in fact confines the use of inverse DEA to a sensitivity analysis by simply addressing what alternative levels of input and/or output would have been possible to result in the same effi...
textabstractData Envelopment Analysis (DEA) is a methodology for analyzing production processes and ...
grantor: University of TorontoData Envelopment Analysis (DEA) assigns a score to each prod...
Data envelopment analysis (DEA) is a nonparametric method for determining the relative efficiency of...
Inverse data envelopment analysis (DEA) is a reversed optimization problem that can serve as a usefu...
DEA is a mathematical quantitative approach for measuring the performance of a set of homogeneous De...
Inverse data envelopment analysis (InDEA) is a well-known approach for short-term forecasting of a g...
Data envelopment analysis (DEA) measures the efficiency score of a set of homogeneous decision-makin...
This paper suggests a novel method to deal with target setting in mergers using goal programming (GP...
Whatever the economic entity, firm, industry, or nation, intensified worldwide competition has incre...
Recently new models of data envelopment analysis (DEA) were introduced that incorporate production t...
Data envelopment analysis (DEA) is a data-driven and benchmarking tool for evaluating the relative e...
In Dynamic Data Envelopment Analysis (DDEA), which is a subfield of Data Envelopment Analysis (DEA),...
This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. D...
This paper addresses the problem of analyzing the results of a benchmarking process in which the eff...
This paper attempts to provide a systematic approach to the DEA model building. To this end, we try ...
textabstractData Envelopment Analysis (DEA) is a methodology for analyzing production processes and ...
grantor: University of TorontoData Envelopment Analysis (DEA) assigns a score to each prod...
Data envelopment analysis (DEA) is a nonparametric method for determining the relative efficiency of...
Inverse data envelopment analysis (DEA) is a reversed optimization problem that can serve as a usefu...
DEA is a mathematical quantitative approach for measuring the performance of a set of homogeneous De...
Inverse data envelopment analysis (InDEA) is a well-known approach for short-term forecasting of a g...
Data envelopment analysis (DEA) measures the efficiency score of a set of homogeneous decision-makin...
This paper suggests a novel method to deal with target setting in mergers using goal programming (GP...
Whatever the economic entity, firm, industry, or nation, intensified worldwide competition has incre...
Recently new models of data envelopment analysis (DEA) were introduced that incorporate production t...
Data envelopment analysis (DEA) is a data-driven and benchmarking tool for evaluating the relative e...
In Dynamic Data Envelopment Analysis (DDEA), which is a subfield of Data Envelopment Analysis (DEA),...
This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. D...
This paper addresses the problem of analyzing the results of a benchmarking process in which the eff...
This paper attempts to provide a systematic approach to the DEA model building. To this end, we try ...
textabstractData Envelopment Analysis (DEA) is a methodology for analyzing production processes and ...
grantor: University of TorontoData Envelopment Analysis (DEA) assigns a score to each prod...
Data envelopment analysis (DEA) is a nonparametric method for determining the relative efficiency of...