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020 _a9783031524554
_9978-3-031-52455-4
050 4 _aT57.6-57.97
050 4 _aT55.4-60.8
072 7 _aKJT
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aKJT
_2thema
082 0 4 _a003
_223
100 1 _aDui, Hongyan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aImportance-Informed Reliability Engineering
_h[electronic resource] /
_cby Hongyan Dui, Shaomin Wu.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIX, 216 p. 41 illus., 18 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Reliability Engineering,
_x2196-999X
505 0 _aIntroduction -- Importance measures-informed reliability design -- Importance measures for optimization of cost-independent maintenance policies -- Importance measures for optimization of cost-based maintenance policies -- Importance measures for networks -- Importance measures for resilience management -- Case studies.
520 _aThis book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures. Optimal reliability design, properly system maintenance and resilience management are vital for retaining a high level of system availability. Reliability importance measures, which are used to identify the weakest components from different perspectives, can be used to achieve this goal. The book has seven parts. Chapter 1 introduces the basic concepts. Chapter 2 focuses on importance measures for the system design phase and introduces how the system reliability can be improved with importance measures. Chapters 3 and 4 provide importance measures-related methods for scheduling maintenance policies under different scenarios. Chapter 5 provides importance measures for networks. Chapter 6 proposes importance measures for resilience management. The last chapter, or Chapter 7, illustrates the importance measures with case studies adopted from four types of systems: mechanical systems, energy systems, transport networks, and supply chain networks.
541 _fUABC ;
_cPerpetuidad
650 0 _aOperations research.
650 0 _aManagement science.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aMechanical engineering.
650 0 _aElectric power distribution.
650 0 _aMathematical optimization.
650 0 _aStatistics .
650 1 4 _aOperations Research, Management Science.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aMechanical Engineering.
650 2 4 _aEnergy Grids and Networks.
650 2 4 _aOptimization.
650 2 4 _aApplied Statistics.
700 1 _aWu, Shaomin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031524547
776 0 8 _iPrinted edition:
_z9783031524561
776 0 8 _iPrinted edition:
_z9783031524578
830 0 _aSpringer Series in Reliability Engineering,
_x2196-999X
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-52455-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c274525
_d274524