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Book Cover
E-book
Author Zhan, Wei, author

Title Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding
Edition First edition
Published New York [New York] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2016

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Description 1 online resource (1 PDF (xii, 255 pages)) : illustrations
Series Engineering management collection, 2376-4902
Engineering management collection. 2376-4902
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
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
Analysis 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
Bibliography Includes bibliographical references and index
Notes Appendices -- Index
Title from PDF title page (viewed on December 10, 2015)
Subject Six sigma (Quality control standard)
Lean manufacturing.
Production management -- Quality control
BUSINESS & ECONOMICS -- Industrial Management.
BUSINESS & ECONOMICS -- Management.
BUSINESS & ECONOMICS -- Management Science.
BUSINESS & ECONOMICS -- Organizational Behavior.
Lean manufacturing
Production management -- Quality control
Six sigma (Quality control standard)
Form Electronic book
Author Ding, Xuru, author
ISBN 9781606504932
1606504932