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Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems
Kategorie	Beschreibung
036a	XA-GB
037b	eng
077a	117739081 Buchausg. u.d.T.: ‡Allen, Theodore T.: Introduction to engineering statistics and six sigma
087q	978-1-85233-955-5
100b	Allen, Theodore T.
331	Introduction to Engineering Statistics and Six Sigma
335	Statistical Quality Control and Design of Experiments and Systems
403	2
410	London
412	Springer London
425	2006
425a	2006
433	Online-Ressource (XXII, 529 p. 114 illus, digital)
451b	SpringerLink. Bücher
527	Buchausg. u.d.T.: ‡Allen, Theodore T.: Introduction to engineering statistics and six sigma
540a	ISBN 978-1-84628-200-3
700	\|KJMV
700	\|*62P30
700	\|62-01
700	\|00A06
700	\|TBC
700	\|TEC000000
700b	\|620.0072
700b	\|620
700b	\|658.5
700c	\|TA177.4-185
700g	1271705575 ZG 9240
750	Statistical Quality Control -- Quality Control and Six Sigma -- Define Phase and Strategy -- Measure Phase and Statistical Charting -- Analyze Phase -- Improve or Design Phase -- Control or Verify Phase -- Advanced SQC Methods -- SQC Case Studies -- SQC Theory -- Design of Experiments (DOE) and Regression -- DOE: The Jewel of Quality Engineering -- DOE: Screening Using Fractional Factorials -- DOE: Response Surface Methods -- DOE: Robust Design -- Regression -- Advanced Regression and Alternatives -- DOE and Regression Case Studies -- DOE and Regression Theory -- Optimization and Strategy -- Optimization and Strategy -- Tolerance Design -- Six Sigma Project Design.
753	Many have heard that six sigma methods are necessary to survive, let alone thrive, in today’s competitive markets, but are not really sure what the methods are or how or when to use them. Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details case studies showing how they have been applied in engineering and business to achieve millions of dollars of savings. Specifically, the methods introduced include many kinds of design of experiments (DOE) and statistical process control (SPC) charting approaches, failure mode and effects analysis (FMEA), formal optimization, genetic algorithms, gauge reproducibility and repeatability (R&R), linear regression, neural nets, simulation, quality function deployment (QFD) and Taguchi methods. A major goal of the book is to help the reader to determine exactly which methods to apply in which situation and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on case studies help the reader build associations between techniques and industrial problems. A glossary of acronyms provides familiarity with six sigma terminology and solutions to homework and practice exams are included.
902s	209119799 Statistik
902s	209210281 Versuchsplanung
902s	210015152 Statistische Qualitätskontrolle
902s	210110783 Anwendung
907s	210015152 Statistische Qualitätskontrolle
907s	209210281 Versuchsplanung
012	264342259
081	Introduction to Engineering Statistics and Six Sigma
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/1-84628-200-4