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Lean six sigma using SigmaXL and Minitab

Author: Issa Bass; Barbara Lawton, Ph. D.
Publisher: New York : McGraw-Hill, ©2009.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
From the Publisher: Effectively Execute Lean Six Sigma Projects using SigmaXL and Minitab. Written by a Six Sigma Master Black Belt and a Ph. D., this practical guide to Lean Six Sigma project execution follows the DMAIC (Define, Measure, Analyze, Improve, and Control) roadmap. The many real-world examples used in the book offer in-depth theoretical analyses and are implemented using the two most popular statistical  Read more...
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Genre/Form: Software
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Issa Bass; Barbara Lawton, Ph. D.
ISBN: 007162130X 9780071621304
OCLC Number: 276930371
Notes: Includes index.
Description: xv, 362 pages : illustrations ; 24 cm
Contents: Preface --
Acknowledgments --
Introduction --
Overview of SigmaXL --
SigmaXL menu bar --
SigmaXL templates --
Solution --
1: Define --
Project planning --
Gantt chart --
Program evaluation and review technique (PERT) --
Project charter --
Project number --
Project champion --
Project definition --
Project description --
Value statement --
Stakeholders --
Project monitoring --
Scheduling --
Alternative plans --
Risk analysis --
Capturing the voice of the customer --
Capturing the voice of the external customer --
Capturing the voice of the internal customer --
Capturing the voice of the customers of a project --
Capturing the voice of the next step in the process --
Critical-to-quality tree --
Kano analysis --
Suppliers-input-process-output-customers (SIPOC) --
Cost of quality --
Assessing the cost of quality --
Cost of conformance --
Preventive cost --
Appraisal cost --
Cost of nonconformance --
Internal failure --
External failure --
Optimal cost of quality --
Cost of quality according to Taguchi --
Stakeholder analysis --
Force field analysis (FFA) --
2: Measure --
Data gathering --
Data types --
Attribute data --
Variable data --
Locational data --
Basic probability --
So what is probability? --
Discrete versus continuous distributions --
Expected value, variance, and standard deviation of discrete distribution --
Discrete probability distributions --
Approximating binomial problems by Poisson distribution --
Continuous distribution --
Z transformation --
Planning for sampling --
Random sampling versus nonrandom sampling --
Random sampling --
Nonrandom sampling --
Nonsampling errors --
Sampling error --
Central limit theorem --
Sampling distribution of the mean X --
Estimating the population mean with large sample sizes --
Estimating the population mean with small sample sizes and o unknown t-distribution --
X (factor 2) distribution --
Estimating sample sizes --
Sample size when estimating the mean --
Measurement systems analysis --
Precision and accuracy --
Measurement errors due to precision --
Variations due to accuracy --
Gauge bias --
Gauge linearity --
Attribute gauge study --
Assessing a processes ability to meet customers' expectations-process capability analysis --
Process capabilities with normal data --
Estimating sigma --
Short-term sigma --
Long-term sigma --
Potential capabilities --
Short-term potential capabilities, Cp and Cr --
Long-term potential performance --
Actual capabilities --
Capability indices and parts per million --
Process capability and Z transformation --
Minitab output --
Taguchi's capability indices CPM and PPM --
Process capability analysis with nonnormal data --
Normality assumption and Box-Cox transformation --
Process capability using Box-Cox transformation --
Process capability using nonnormal distribution --
Lean six sigma metrics --
Six sigma metrics --
First time yield (FTY) --
Lean metrics --
Work in progress (WIP). 3: Analyze --
Brainstorming --
Nominal group process --
Affinity diagram --
Cause-and-effect analysis --
Pareto analysis --
Using Minitab --
Fault tree analysis --
Seven types of waste --
Overproduction --
Wait --
Unnecessary inventory --
Motion --
Unnecessary transportation --
Inappropriate processing --
Product defects --
Lean approach to waste reduction --
Cycle time reduction --
Takt time --
Batch verus one-piece flow --
Data gathering and process improvement --
Value stream mapping --
How to map your value stream --
Failure mode and effect analysis --
Failure mode assessment --
Action plan --
Hypothesis testing --
P-value method --
Nonparametric hypothesis testing --
Chi-square test --
Contingency analysis-Chi square test of independence --
Mann-Whitney U test --
Normality testing --
Normalizing data --
Analysis of variance --
Mean square --
Regression analysis --
Simple linear regression (or first-order linear model) --
Multiple regression analysis --
4: Improve --
Design of experiments --
Factorial experiments --
Main effect and interaction effect --
2(k) factorial design --
2(2) two factors and two levels --
Degrees of freedom --
Using Minitab --
Interpretation --
Using SigmaXL --
Regression model --
SigmaXL output --
Residual analysis --
2(k) two levels with more than 2 factors --
Main effects for 2(3)-two levels with three factors --
Blocking --
Confounding --
2(k-1) fractional factorial design --
2(3-1) fractional factorial design --
2(4-1) factorial design --
Design resolution --
Theory of constraints --
Process throughput is tied to the bottleneck --
TOC metrics --
Thinking process --
Goldratt cloud --
Goldratt reality trees --
Current reality tree --
Future reality tree --
5s --
5: Control --
Statistical process control (SPC) --
Variation is the root cause of defects --
Assignable (or special) causes of variation --
Common (or chance) causes of variation --
How to build a control chart --
Rational subgrouping --
Probability for misinterpreting control charts --
Type I error --
Type II error --
How to determine if the process is out of control-WECO rules --
Categories of control charts --
Variable control charts --
Mean and range charts-X and R charts --
Calculating the sample statistics to be plotted --
Calculating the center line and control limits --
Control limits for X chart --
Standard-error-based X chart --
Mean-range-based X control charts --
Control limits for R chart --
Mean and standard deviation charts X and s charts --
Individual values control charts --
Individual moving range charts --
Individual value chart --
Monitoring shifts in the process mean CUSUM --
Computational approach --
Exponentially weighted moving average --
Attribute control charts --
p chart --
np chart --
c chart --
u chart --
Appendix tables --
Table A1: Binomial --
Table A2: Poisson --
Table A3: Chi square --
Table A4: Z table --
Table A5: t table --
Table A6: F table --
Index.
Responsibility: Issa Bass, Barbara Lawton.

Abstract:

A complete guide to Lean Six Sigma statistical and analytical methods, plus expert coverage of SigmaXL and Minitab, two of today's most popular analytical programs.  Read more...

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