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010   $a9786610509430
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100   $a20000815d2005      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aAdvanced reliability modeling$b[electronic resource] /$fguest editors Tadashi Dohi, Naoto Kaio and Won Young Yun
210   $aBradford, England $cEmerald Group Publishing$dc2005
215   $a1 online resource (111 p.)
225 0 $aJournal of quality in maintenance engineering ;$vv. 11, no. 3
300   $aDescription based upon print version of record.
311   $a1-84544-751-4 
327   $aCONTENTS; EDITORIAL ADVISORY BOARD; Guest editorial; A discrete-time order-replacement model with time discounting and spare part provisioning; A random shock model for a continuously deteriorating system; Optimal preventive maintenance policies for a shock model with given damage level; An optimal policy for partially observable Markov decision processes with non-independent monitors; SNEM: a new approach to evaluate terminal pair reliability of communication networks; Evaluating methods for the reliability of a three-dimensional k-within system
327   $aFuzzy set-valued and grey filtering statistical inferences on a system operating dataFailure rate prediction with artificial neural networks
330   $aThis e-book contains selected papers invited/presented in the Asian International Workshop on Advanced Reliability Modeling (AIWARM) which was held in Hiroshima, Japan, August 26-27, 2004. 78 papers from Asian and European area were presented at the workshop. This e-book is intended to share the ideas and results from the workshop with more reliability researchers and practitioners. Various and promising research topics are included; maintenance problems in shock models, replacement model with spare part provisioning, analysis of system operating data with fuzzy set, new algorithms in redundan
606   $aQuality control
606   $aTotal quality management
615  0$aQuality control.
615  0$aTotal quality management.
676   $a620.00452
701   $aDohi$b Tadashi$01103518
701   $aKaio$b Naoto$01469360
701   $aYun$b Won Young$01469361
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910783539003321
996   $aAdvanced reliability modeling$93680827
997   $aUNINA