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Inhaltsangabe
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.
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Reseña del editor
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.
Biografía del autor
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.
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Inverse data envelopment analysis
Verlag:
LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 365955300X
ISBN 13: 9783659553004
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Taschenbuch. Zustand: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Artikel-Nr. 9783659553004
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Inverse data envelopment analysis
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365955300X
ISBN 13: 9783659553004
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