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BestsellerE-book
Author Zhan, Wei, author.

Title Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding.

Publication Info. New York [New York] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2016.

Item Status

Edition First edition.
Description 1 online resource (1 PDF (xii, 255 pages)) : illustrations.
Physical Medium polychrome
Description text file
Series Engineering management collection, 2376-4902
Engineering management collection. 2376-4902
Bibliography Includes bibliographical references and index.
Contents 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma.
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.
3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process.
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.
5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools.
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.
7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions.
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.
Note Appendices -- Index.
Summary 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.
Note Title from PDF title page (viewed on December 10, 2015).
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Six sigma (Quality control standard)
Six sigma (Quality control standard)
Lean manufacturing.
Lean manufacturing.
Production management -- Quality control.
Production management -- Quality control.
Indexed Term Lean
Six Sigma
Design for Six Sigma
statistics
probability
DMAIC
engineering
management
optimization
process improvement
quality control
design of experiment
response surface method
Monte Carlo analysis
hypothesis test
robust design
computer-aided design
data analysis
Genre/Form Electronic books.
Added Author Ding, Xuru, author.
Other Form: Print version: 9781606504925
ISBN 9781606504932 (electronic book)
1606504932 (electronic book)
9781606504925 (print)
1606504924
Standard No. 10.5643/9781606504932