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Reliability and Risk Modeling of Engineering Systems / edited by Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Mohit Tyagi

Contributor(s): Panchal, Dilbagh, editor literario | Chatterjee, Prasenjit (1982-), editor literario | Pamucar, Dragan, editor literario | Tyagi, Mohit, editor literario
Material type: materialTypeLabelE-bookSeries: (EAI/Springer Innovations in Communication and Computing, 2522-8609); (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIX, 165 páginas) : 40 ilustraciones, 22 ilustraciones a color.ISBN: 9783030701512.Subject: Ingeniería industrialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Applications of mathematical modelling for RAM analysis -- Application of mathematical modelling for risk analysis -- Integrated fuzzy decision support system for maintenance decision support system -- A decision support model for optimizing plant operation and system safety -- Models for reliability based cost decision -- Models for clean and green production for industrial system -- Model development and its application for hazard management -- Green process operation for cleaner production -- Application of soft computing techniques for optimization of RAM and risk issues -- Conclusion.
Abstract: This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues. Discusses reliability, risk, and safety issues of industrial systems with the application of the latest reliability and risk based modelling; Includes a wide range of applications related to reliability and risk modeling of engineering systems; Presents a collection of a diverse range of case studies and uses methods to let readers apply cutting-edge decision making methods to their own projects.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería T56.24 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.11012422
Total holds: 0

Introduction -- Applications of mathematical modelling for RAM analysis -- Application of mathematical modelling for risk analysis -- Integrated fuzzy decision support system for maintenance decision support system -- A decision support model for optimizing plant operation and system safety -- Models for reliability based cost decision -- Models for clean and green production for industrial system -- Model development and its application for hazard management -- Green process operation for cleaner production -- Application of soft computing techniques for optimization of RAM and risk issues -- Conclusion.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues. Discusses reliability, risk, and safety issues of industrial systems with the application of the latest reliability and risk based modelling; Includes a wide range of applications related to reliability and risk modeling of engineering systems; Presents a collection of a diverse range of case studies and uses methods to let readers apply cutting-edge decision making methods to their own projects.

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