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020 _a9783030701512
024 7 _a10.1007/978-3-030-70151-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aT56.24
_b2021 EB
245 0 0 _aReliability and Risk Modeling of Engineering Systems
_cedited by Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Mohit Tyagi
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (XIX, 165 páginas)
_b40 ilustraciones, 22 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aEAI/Springer Innovations in Communication and Computing
_x2522-8609
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aIntroduction -- 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 3 _aThis 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.
988 _aSpringer_Engineering_2021
650 7 _2embne
_9143360
_aIngeniería industrial
700 1 _aPanchal, Dilbagh
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
_9682951
700 1 _aChatterjee, Prasenjit
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
_9682952
_d1982-
700 1 _aPamucar, Dragan
_eeditor literario
_4
_4http://id.loc.gov/vocabulary/relators/edt
_9682953
700 1 _aTyagi, Mohit
_eeditor literario
_4
_4http://id.loc.gov/vocabulary/relators/edt
_9682954
776 0 8 _iPrinted edition:
_z9783030701505
776 0 8 _iPrinted edition:
_z9783030701529
776 0 8 _iPrinted edition:
_z9783030701536
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70151-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2022
_dz
_eIG
_zSI