Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations or processes related to producing products, providing services, and marketing and selling products. Performance evaluation and benchmarking a...

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Bibliographische Detailangaben

1. Verfasser:	Zhu, Joe (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Springer US 2003
Ausgabe:	1st ed. 2003
Schriftenreihe:	International Series in Operations Research & Management Science 51
Schlagworte:	Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Econometrics Microeconomics Operations research Decision making Economic theory Effizienzanalyse Benchmarking Modellierung Leistungsbewertung
Online-Zugang:	BTU01 Volltext
Zusammenfassung:	Managers are often under great pressure to improve the performance of their organizations. To improve performance, one needs to constantly evaluate operations or processes related to producing products, providing services, and marketing and selling products. Performance evaluation and benchmarking are a widely used method to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance. For this reason, benchmarking is often used in managing service operations, because service standards (benchmarks) are more difficult to define than manufacturing standards. Benchmarks can be established but they are somewhat limited as they work with single measurements one at a time. It is difficult to evaluate an organization's performance when there are multiple inputs and outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. It is critical to show benchmarks where multiple measurements exist. The current book introduces the methodology of data envelopment analysis (DEA) and its uses in performance evaluation and benchmarking under the context of mUltiple performance measures
Beschreibung:	1 Online-Ressource (XXIII, 301 p)
ISBN:	9781475742466
DOI:	10.1007/978-1-4757-4246-6