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Reliability and risk modeling of eng...

Panchal, Dilbagh.

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Reliability and risk modeling of engineering systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability and risk modeling of engineering systems/ edited by Dilbagh Panchal ... [et al.].
其他作者:	Panchal, Dilbagh.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xix, 165 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Industrial engineering - Risk assessment. -
電子資源:	https://link.springer.com/openurl.asp?genre=book&isbn=978-3-030-70151-2
ISBN:	9783030701512

Reliability and risk modeling of engineering systems
Reliability and risk modeling of engineering systems[electronic resource] /edited by Dilbagh Panchal ... [et al.]. - Cham :Springer International Publishing :2021. - xix, 165 p. :ill. (some col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

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.

ISBN: 9783030701512

Standard No.: 10.1007/978-3-030-70151-2doiSubjects--Topical Terms:

3495796
Industrial engineering
--Risk assessment.

LC Class. No.: T56.24 / .R45 2021

Dewey Class. No.: 658.5

Reliability and risk modeling of engineering systems
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505 0 $a 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.
520 $a 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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