Inverse data envelopment analysis - Hadi-Vencheh, Abdollah
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In this book we discuss such problems: if among a group of decision making units (DMUs), we increase certain inputs to a particular unit and assume that the DMU maintains its current efficiency level with respect to other units, how much more outputs could the unit produce? or, if the outputs need to be increased to a certain level and the efficiency of the unit remains unchanged, how much more inputs should be provided to the unit? We treat them as inverse Data Envelopment Analysis (DEA) problems and propose a method to solve such problems. The problem is transformed into a multi-objective…mehr

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Produktbeschreibung
In this book we discuss such problems: if among a group of decision making units (DMUs), we increase certain inputs to a particular unit and assume that the DMU maintains its current efficiency level with respect to other units, how much more outputs could the unit produce? or, if the outputs need to be increased to a certain level and the efficiency of the unit remains unchanged, how much more inputs should be provided to the unit? We treat them as inverse Data Envelopment Analysis (DEA) problems and propose a method to solve such problems. The problem is transformed into a multi-objective programming problem to solve, though in some special cases it can be answered by solving just one single-object linear programming problem.
Autorenporträt
Dr. Abdollah Hadi-Vencheh is an associate professor at the IAU, Isfahan (Khorasgan) Branch. He is an expert in data envelopment analysis, productivity analysis, and multiple criteria decision making, which are the subjects he teaches and researches at IAU. He is the author of more than 80 papers.