000 03912nam a22005535i 4500
001 978-3-319-24499-0
003 DE-He213
005 20220801221918.0
007 cr nn 008mamaa
008 151030s2016 sz | s |||| 0|eng d
020 _a9783319244990
_9978-3-319-24499-0
024 7 _a10.1007/978-3-319-24499-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aIntelligent Decision Making in Quality Management
_h[electronic resource] :
_bTheory and Applications /
_cedited by Cengiz Kahraman, Seda Yanik.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVIII, 466 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v97
505 0 _aIntelligent Decision Making Techniques in Quality Management: A Literature Review -- Intelligent Process Control Using Control Charts – I: Control Charts for Variables -- Intelligent Process Control Using Control Charts – II: Control Charts for Attributes -- Special Control Charts Using Intelligent Techniques: EWMA Control Charts -- Trends on Process Capability Indices in Fuzzy Environment -- An Integrated Framework to analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm -- A Fuzzy Design of Single and Double Acceptance Sampling Plans -- Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems -- Failure Mode and Effects Analysis under Uncertainty: A Literature Review and Tutorial -- QFD using Intelligent Techniques -- Process Improvement Using Intelligent Six Sigma -- Taguchi Method Using Intelligent Techniques -- Software Architecture Quality of Service Analysis Based on Optimization Models -- Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analysis (BPNN-IPA).
520 _a  This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.  .
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aOperations research.
_912218
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aOperations Research and Decision Theory.
_931599
700 1 _aKahraman, Cengiz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_958677
700 1 _aYanik, Seda.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_958678
710 2 _aSpringerLink (Online service)
_958679
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319244976
776 0 8 _iPrinted edition:
_z9783319244983
776 0 8 _iPrinted edition:
_z9783319343174
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v97
_958680
856 4 0 _uhttps://doi.org/10.1007/978-3-319-24499-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80193
_d80193