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EBSCO_ocn939718464 |
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OCoLC |
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20231017213018.0 |
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151210s2016 nyua foab 001 0 eng d |
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|e rda
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|c NYMPP
|d OCLCO
|d OCLCF
|d OCLCO
|d IDEBK
|d YDXCP
|d EBLCP
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|d YDX
|d OCLCQ
|d MERUC
|d MERER
|d OCLCQ
|d STF
|d OCLCQ
|d AGLDB
|d G3B
|d IGB
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|a 928989467
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|a 967768996
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|a 9781606504932
|q (electronic bk.)
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|a 1606504932
|q (electronic bk.)
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|z 9781606504925
|q (print)
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|z 1606504924
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024 |
7 |
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|a 10.5643/9781606504932
|2 doi
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035 |
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|a (OCoLC)939718464
|z (OCoLC)928989467
|z (OCoLC)931160075
|z (OCoLC)967768996
|z (OCoLC)969967786
|z (OCoLC)1058982350
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|a 852612
|b MIL
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050 |
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|a TS156
|b .Z425 2016
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|a BUS
|x 082000
|2 bisacsh
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|a BUS
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|a BUS
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|2 bisacsh
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0 |
4 |
|a 658.4013
|2 23
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049 |
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|a UAMI
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100 |
1 |
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|a Zhan, Wei,
|e author.
|
245 |
1 |
0 |
|a Lean Six Sigma and statistical tools for engineers and engineering managers /
|c Wei Zhan, Xuru Ding.
|
250 |
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|a First edition.
|
264 |
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1 |
|a New York [New York] (222 East 46th Street, New York, NY 10017) :
|b Momentum Press,
|c 2016.
|
300 |
|
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|a 1 online resource (1 PDF (xii, 255 pages)) :
|b illustrations.
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a electronic
|2 isbdmedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
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|a Engineering management collection,
|x 2376-4902
|
504 |
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|a Includes bibliographical references and index.
|
505 |
0 |
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|a 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma.
|
505 |
8 |
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|a 2. Probability and statistics -- 2.1 Why is statistics relevant to engineers? -- 2.2 Probability, sampling, and random variables -- 2.3 Set theory -- 2.4 Calculus of probabilities -- 2.5 System probability as a function of subsystem probabilities -- 2.6 Law of total probability and Bayes' theorem -- 2.7 Probability distributions and cumulative distribution functions -- 2.8 Expected value and variance -- 2.9 Probability distributions -- 2.10 The central limit theorem -- 2.11 Statistical data analysis -- 2.12 Graphical methods.
|
505 |
8 |
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|a 3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process.
|
505 |
8 |
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|a 4. Lean Six Sigma tools -- 4.1 SWOT, affinity diagram, SIPOC, VOC, CTQ -- 4.2 Cp, Cpk, GR & R, Pareto diagram, prioritization matrix, normality check, Monte Carlo analysis -- 4.3 Confidence intervals, hypothesis testing, cause-and-effect analysis, FMEA, DOE, VSM -- 4.4 RSM, regression -- 4.5 Statistical process control.
|
505 |
8 |
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|a 5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools.
|
505 |
8 |
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|a 6. Lean Six Sigma projects: strategic planning and project execution -- 6.1 Strategic planning and deployment -- 6.2 Project selection -- 6.3 Lean Six Sigma team -- 6.4 Project scope and project management -- 6.5 Milestones, deliverables, and project summary.
|
505 |
8 |
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|a 7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions.
|
505 |
8 |
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|a 8. Case studies -- 8.1 Lean Six Sigma project, pulse width modulation control for motor speed -- 8.2 DFSS project, vehicle-occupant safety robust design for frontal impact -- 8.3 DFSS project, reliability improvement of car window regulator operation.
|
500 |
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|a Appendices -- Index.
|
520 |
3 |
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|a This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality. The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature of this book is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis.
|
500 |
|
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|a Title from PDF title page (viewed on December 10, 2015).
|
590 |
|
|
|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
|
650 |
|
0 |
|a Six sigma (Quality control standard)
|
650 |
|
0 |
|a Lean manufacturing.
|
650 |
|
0 |
|a Production management
|x Quality control.
|
650 |
|
6 |
|a Six Sigma.
|
650 |
|
6 |
|a Production allégée.
|
650 |
|
6 |
|a Production
|x Gestion
|x Qualité
|x Contrôle.
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Industrial Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management Science.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Organizational Behavior.
|2 bisacsh
|
650 |
|
7 |
|a Lean manufacturing.
|2 fast
|0 (OCoLC)fst01746665
|
650 |
|
7 |
|a Production management
|x Quality control.
|2 fast
|0 (OCoLC)fst01078326
|
650 |
|
7 |
|a Six sigma (Quality control standard)
|2 fast
|0 (OCoLC)fst01119844
|
653 |
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|a Lean
|
653 |
|
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|a Six Sigma
|
653 |
|
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|a Design for Six Sigma
|
653 |
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|a statistics
|
653 |
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|a probability
|
653 |
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|a DMAIC
|
653 |
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|a engineering
|
653 |
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|a management
|
653 |
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|a optimization
|
653 |
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|a process improvement
|
653 |
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|a quality control
|
653 |
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|a design of experiment
|
653 |
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|a response surface method
|
653 |
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|a Monte Carlo analysis
|
653 |
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|a hypothesis test
|
653 |
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|a robust design
|
653 |
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|a computer-aided design
|
653 |
|
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|a data analysis
|
700 |
1 |
|
|a Ding, Xuru,
|e author.
|
776 |
0 |
8 |
|i Print version:
|z 9781606504925
|
830 |
|
0 |
|a Engineering management collection.
|x 2376-4902
|
856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1094002
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL4389014
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938 |
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|a EBSCOhost
|b EBSC
|n 1094002
|
938 |
|
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|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
|n cis33152174
|
938 |
|
|
|a Momentum Press
|b NYMP
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|
938 |
|
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|b YANK
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994 |
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