Industrial Objectives and Industrial Performance: Concepts and Fuzzy Handling (Systems and Industrial Engineering)
Language: English
Published by Wiley-ISTE, 2018
- First Edition
- Hardcover
- Used
Seller: killarneybooks, Inagh, Clare, Irelandkillarneybooks
AbeBooks seller since April 20, 2017
Condition: Used - Fine
US$ 41.42
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Add to basketItem description from seller
Hardcover, xi + 250 pages, NOT ex-library. Book looks unread, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- This work presents a novel approach to industrial performance measurement that is specifically designed to handle imprecise, uncertain, and subjective data. It argues that traditional methods, which rely on crisp numerical values and weighted averages, are often inadequate for aggregating complex performance indicators. The book introduces and applies the principles of fuzzy logic and fuzzy set theory as a solution. It provides a detailed methodology for modeling performance using linguistic variables (e.g., 'good', 'average', 'poor') and for aggregating these fuzzy indicators into a holistic and meaningful assessment. The book serves as a guide for engineers and researchers on how to design and implement more robust and realistic performance management systems.
Seller Inventory # 011675
- Title
- Industrial Objectives and Industrial Performance: Concepts and Fuzzy Handling (Systems and Industrial Engineering)
- Author
- Lamia Berrah; Vincent Clivillé; Laurent Foulloy
- Publisher
- Wiley-ISTE
- Publication year
- 2018
- Condition
- Fine
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1848219555
- ISBN 13
- 9781848219557
- Edition
- 1st Edition
This book aims to provide a synthesis of work and ideas done by our team over the last fifteen years in the field of information processing for expression of industrial performance. The statement of objectives on the one hand and the calculation of the other performances are discussed, with the search for the explanation of the link between these two basic steps of an industrial improvement. Beyond the synthetic and typological character of this study, the originality of this work lies in the consideration of the temporal dimension of the objectives, and spread on performance expressions. A fuzzy processing and multi-criteria aggregations time information that can be quantitative, qualitative or symbolic are proposed, in line with industrial practice and literature in the field of performance management.
"Synopsis" may belong to another edition of this title.
About the Author
Vincent Clivillé, Laboratory of Computer Science, Systems, Information Processing and Knowledge (LISTIC) - University of Savoy - Annecy, France.
Laurent Foulloy, Laboratory of Computer Science, Systems, Information Processing and Knowledge (LISTIC) - University of Savoy - Annecy, France.
"About the title" may belong to another edition of this title.
killarneybooks
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