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

Appendices -- Index.

Includes bibliographical references and index.

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- ...