Modeling Performance Measurement
Applications and Implementation Issues in DEA
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ISBN-13:
9781489999054
Veröffentl:
2014
Einband:
Paperback
Erscheinungsdatum:
21.11.2014
Seiten:
428
Autor:
Joe Zhu
Gewicht:
645 g
Format:
235x155x24 mm
Sprache:
Englisch
Beschreibung:
Modeling Performance Measurement: Applications and Implementation Issues in DEA presents unified results from several authors¿ recent DEA research. These new DEA methodology and techniques are developed in application-driven scenarios that go beyond the identification of the best-practice frontier and seek solutions to aid managerial decisions. These new DEA developments are well-grounded in real world applications. Both DEA researchers and practitioners will find this book helpful. Theory is provided for DEA researchers for further development and possible extensions. However, it should also be mentioned that each theory is presented in practical terms with numerical examples, simple real management cases and verbal descriptions. These concrete examples will be of value to researchers, students, and practitioners.
Addresses advanced/new DEA methodology and techniques that are developed for modeling unique and new performance evaluation issues
Preface.- Data Envelopment Analysis.- Measuring Efficiency of Highway Maintenance Patrols.- Prioritizing Highway Accident Sites.- Benchmarking Models: Evaluating the effect of e-business activities.- Factor Selection Issues in Bank Branch Performance.- Multicomponent Efficiency Measurement in Banking.- DEA and Multicriteria Decision Modeling.- Modeling Rank Order Data.- Resource Allocation in an R and D Department.- Resource Constrained DEA.- Multicomponent Efficiency: Measurement and core business identification in multiplant firms.- Implementation of Robotics: Identifying Efficient Implementors.- Setting Performance Targets for New DMUs.- Aggregating Preference Rankings.- Ranking Players in Round Robin Tournaments.- Context-Dependent DEA: Models and extension.- Evaluating Power Plant Efficiency: Hierarchical Models.- Subject Index.
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