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E-raamat: Lean Six Sigma Using SigmaXL and Minitab

  • Formaat: 408 pages
  • Ilmumisaeg: 05-Jan-2009
  • Kirjastus: McGraw-Hill Professional
  • Keel: eng
  • ISBN-13: 9780071626217
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  • Formaat: 408 pages
  • Ilmumisaeg: 05-Jan-2009
  • Kirjastus: McGraw-Hill Professional
  • Keel: eng
  • ISBN-13: 9780071626217

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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 software suites--SigmaXL and Minitab. This expert resource covers Lean topics ranging from basic data analysis to complex design of experiments and statistical process control. Harness the power of SigmaXL and Minitab and enable sustained positive operational results throughout your organization with help from this authoritative guide.

Lean Six Sigma Using SigmaXL and Minitab explains how to:





Define the project goals, project manager, value statement, stakeholders, and risk

Schedule tasks using the Gantt chart, critical path analysis, and program evaluation and review technique

Capture the voice of internal and external customers Assess the cost of quality Gather data and measure process performance

Perform process capabilities analysis Apply Lean Six Sigma metrics to determine baseline performance Implement analysis techniques such as Pareto analysis, value stream mapping, failure mode and effect analysis (FMEA), and  regression analysis

Identify constraints via factorial experiments, and implement process improvements Monitor production performance using statistical process control

 
Preface xiii
Acknowledgments xv
Introduction 1(2)
An Overview of SigmaXL 3(1)
SigmaXL menu bar
3(2)
SigmaXL templates
5(1)
Solution
6(3)
Define
9(34)
Project Planning
9(6)
The Gantt chart
10(3)
Program evaluation and review technique (PERT)
13(2)
Project Charter
15(2)
Project number
16(1)
Project champion
16(1)
Project definition
16(1)
Project description
17(1)
Value statement
17(1)
Stakeholders
17(1)
Project monitoring
17(1)
Scheduling
17(1)
Alternative plans
17(1)
Risk analysis
17(1)
Capturing the Voice of the Customer
17(5)
Capturing the voice of the external customer
19(2)
Capturing the voice of the internal customer
21(1)
Capturing the voice of the customers of a project
21(1)
Capturing the voice of the next step in the process
21(1)
Critical-to-Quality Tree
22(4)
Kano analysis
24(2)
Suppliers-Input-Process-Output-Customers (SIPOC)
26(3)
Cost of Quality
29(5)
Assessing the cost of quality
29(1)
Cost of conformance
30(1)
Preventive cost
30(1)
Appraisal cost
31(1)
Cost of nonconformance
31(1)
Internal failure
31(1)
External failure
31(3)
Optimal Cost of Quality
34(2)
Cost of Quality According to Taguchi
36(2)
Stakeholder Analysis
38(5)
Force field analysis (FFA)
39(4)
Measure
43(100)
Data Gathering
43(1)
Data Types
43(1)
Attribute data
44(1)
Variable data
44(1)
Locational data
44(1)
Basic Probability
44(22)
So what is probability?
44(1)
Discrete versus continuous distributions
44(1)
Expected value, variance, and standard deviation of discrete distribution
45(2)
Discrete probability distributions
47(9)
Approximating binomial problems by Poisson distribution
56(1)
Continuous distribution
56(2)
Z transformation
58(8)
Planning for Sampling
66(1)
Random Sampling versus Nonrandom Sampling
67(2)
Random sampling
67(1)
Nonrandom sampling
68(1)
Nonsampling errors
68(1)
Sampling error
68(1)
Central Limit Theorem
69(13)
Sampling distribution of the mean X
70(1)
Estimating the population mean with large sample sizes
71(3)
Estimating the population mean with small sample sizes and σ unknown t-distribution
74(3)
X2 Distribution
77(3)
Estimating sample sizes
80(1)
Sample size when estimating the mean
81(1)
Measurement Systems Analysis
82(4)
Precision and Accuracy
86(14)
Measurement errors due to precision
86(7)
Variations due to accuracy
93(1)
Gauge bias
94(2)
Gauge linearity
96(4)
Attribute Gauge Study
100(3)
Assessing a Processes Ability to Meet Customers' Expectations---Process Capability Analysis
103(3)
Process Capabilities with Normal Data
106(1)
Estimating Sigma
106(1)
Short-term sigma
106(1)
Long-term sigma
107(1)
Potential Capabilities
107(14)
Short-term potential capabilities, Cp and Cr
107(2)
Long-term potential performance
109(1)
Actual capabilities
109(2)
Capability indices and parts per million
111(1)
Process capability and Z transformation
111(4)
Minitab output
115(1)
Taguchi's capability indices CPM and PPM
116(5)
Process Capability Analysis with Nonnormal Data
121(1)
Normality Assumption and Box-Cox Transformation
122(1)
Process Capability Using Box-Cox Transformation
123(5)
Process Capability Using Nonnormal Distribution
128(2)
Lean Six Sigma Metrics
130(11)
Six Sigma metrics
131(2)
First time yield (FTY)
133(1)
Lean metrics
134(7)
Work in Progress (WIP)
141(2)
Analyze
143(70)
Brainstorming
143(1)
Nominal Group Process
143(1)
Affinity Diagram
144(2)
Cause-and-Effect Analysis
146(3)
Pareto Analysis
149(3)
Using Minitab
152(1)
Fault Tree Analysis
152(2)
Seven Types of Waste
154(5)
Overproduction
156(1)
Wait
157(1)
Unnecessary inventory
158(1)
Motion
158(1)
Unnecessary transportation
158(1)
Inappropriate processing
159(1)
Product defects
159(1)
Lean Approach to Waste Reduction
159(2)
Cycle Time Reduction
161(4)
Takt time
162(2)
Batch versus one-piece flow
164(1)
Data Gathering and Process Improvement
165(3)
Value stream mapping
166(1)
How to map your value stream
167(1)
Failure Mode and Effect Analysis
168(14)
Failure mode assessment
170(1)
Action plan
171(3)
Hypothesis testing
174(3)
P-value method
177(5)
Nonparametric Hypothesis Testing
182(16)
Chi-square test
182(3)
Contingency analysis---Chi square test of independence
185(2)
The Mann-Whitney U test
187(8)
Normality testing
195(1)
Normalizing data
196(2)
Analysis of Variance
198(6)
Mean square
200(4)
Regression Analysis
204(9)
Simple linear regression (or first-order linear model)
206(4)
Multiple regression analysis
210(3)
Improve
213(70)
Design of Experiments
213(2)
Factorial Experiments
215(19)
Main effect and interaction effect
216(1)
2k Factorial design
217(1)
2 2 Two factors and two levels
218(4)
Degrees of freedom
222(1)
Using Minitab
222(3)
Interpretation
225(1)
Using SigmaXL
225(9)
Regression Model
234(34)
SigmaXL output
236(1)
Residual analysis
236(1)
2k Two levels with more than 2 factors
237(2)
Main effects for 2 3---two levels with three factors
239(13)
Blocking
252(2)
Confounding
254(2)
2k-1 Fractional factorial design
256(2)
23-1 Fractional factorial design
258(2)
24-1 Factorial design
260(1)
Design resolution
260(8)
The Theory of Constraints
268(5)
The process throughput is tied to the bottleneck
271(2)
TOC Metrics
273(1)
Thinking Process
273(1)
The Goldratt Cloud
274(1)
The Goldratt Reality Trees
275(8)
Current reality tree
276(2)
Future reality tree
278(2)
5s
280(3)
Control
283(50)
Statistical Process Control (SPC)
283(12)
Variation Is the Root Cause of Defects
284(1)
Assignable (or special) causes of variation
285(1)
Common (or chance) causes of variation
286(1)
How to build a control chart
287(1)
Rational subgrouping
288(1)
Probability for misinterpreting control charts
289(1)
Type I error α
289(2)
Type II error β
291(2)
How to determine if the process is out of control---WECO rules
293(2)
Categories of Control Charts
295(14)
Variable control charts
295(1)
The mean and range charts---X and R charts
296(1)
Calculating the sample statistics to be plotted
296(1)
Calculating the center line and control limits
297(1)
Control limits for X chart
298(1)
Standard-error-based X chart
298(1)
Mean-range-based X control charts
299(3)
Control limits for R chart
302(3)
The mean and standard deviation charts X and s charts
305(4)
Individual Values Control Charts
309(1)
Individual Moving Range Charts
310(1)
Individual Value Chart
311(2)
Monitoring Shifts in the Process Mean
313(4)
Cusum
314(3)
Computational Approach
317(2)
Exponentially Weighted Moving Average
319(3)
Attribute Control Charts
322(11)
The p chart
324(3)
The np chart
327(2)
The c chart
329(1)
The u chart
330(3)
Appendix. Tables
333(14)
Table A.1 Binomial
334(5)
Table A.2 Poisson
339(4)
Table A.3 Chi Square
343(1)
Table A.4 Z Table
344(1)
Table A.5 t Table
345(1)
Table A.6 F Table
346(1)
Index 347
Issa Bass is a Master Black Belt and senior consultant with Manor House and Associates. He is the founding editor of SixSigmaFirst.com. Bass has extensive experience in quality and operations management, and is also the author of Six Sigma Statistics with Minitab and Excel.

Barbara Lawton, Ph.D., is a Six Sigma Black Belt, and has been improving manufacturing processes using Lean techniques and Six Sigma for more than 15 years, in various industries on 3 continents. Dr. Lawton specializes in data analysis, and is a keen experimentalist and problem solver, using a wide range of statistical tools. She currently works for one of the worlds leading aerospace organizations in the UK.