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Quality,9780131189317
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Quality

by
Edition:
4th
ISBN13:

9780131189317

ISBN10:
013118931X
Format:
Hardcover
Pub. Date:
1/1/2010
Publisher(s):
Pearson College Div

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Summary

One of the best ways to learn the fundamental concepts of statistical process control and quality assurance is through application. This book provides clear explanations of popular quality tools and techniques, insightful case studies, plentiful illustrations to support explanations, and subject matter relevant to the challenges faced by today's organizations. The examples, cases, and problems, have been carefully cultivated from real life experiences of people who apply quality assurance tools and techniques in their day-to-day work activities. Contributors represent a wide cross-section of industries including utilities, hospitals, manufacturing, government, services and building trades. Expanded coverage of Six Sigma and ISO/TS 16949./More detail about certifications and careers in quality./Updated industry-appropriate software./Enhanced coverage of the quality masters and their philosophies./An introduction to confidence intervals./Additional examples, cases and problems./Continued focus on learning through applications./Entertains the professional - Not cut and dry like a textbook. An excellent resource for anyone who is in business working with Six Sigma. Also, resourceful for a company doing internal training in the area of quality management. Not limited to manufacturing businesses - Can also be used in hospitals, logistics based companies, retail and banking - Any type of company where quality assurance is a priority.

Table of Contents

I SETTING THE STAGE
1(140)
Quality Basics
2(30)
Defining Quality
4(3)
Ingredients for Success
7(4)
The Evolution of Quality
11(5)
Continuous Improvement
16(7)
Organizing for Quality
23(2)
Beyond Continuous Improvement
25(1)
Who Uses Quality Tools and Techniques?
25(1)
Summary
25(2)
Lessons Learned
27(1)
Chapter Problems
27(3)
Case Study
30(2)
Quality Advocates
32(34)
Quality Advocates
34(22)
Summary
56(1)
Lessons Learned
57(1)
Chapter Problems
58(2)
Case Study
60(6)
Quality Improvement: Problem Solving
66(75)
Problem Solving
68(1)
Steps in Process Improvement
68(4)
Plan
72(34)
Do
106(5)
Study
111(1)
Act
112(10)
Summary
122(1)
Lessons Learned
123(1)
Chapter Problems
123(10)
Case Studies
133(8)
II CONTROL CHARTS FOR VARIABLES
141(258)
Statistics
142(76)
Statistics
144(1)
Use of Statistics in Quality Assurance
145(1)
Populations Versus Samples
146(3)
Data Collection
149(3)
Measurements: Accuracy, Precision, and Measurement Error
152(3)
Data Analysis: Graphical
155(13)
Data Analysis: Analytical
168(16)
Central Limit Theorem
184(4)
Normal Frequency Distribution
188(5)
Confidence Intervals
193(3)
Summary
196(1)
Lessons Learned
197(1)
Formulas
197(1)
Chapter Problems
198(11)
Case Studies
209(9)
Variable Control Charts
218(90)
Control Chart Functions
220(2)
Variation
222(2)
Control Charts for Variables
224(2)
X and R Charts
226(46)
Summary
272(1)
Lessons Learned
273(1)
Formulas
274(1)
Chapter Problems
275(9)
Case Studies
284(24)
Process Capability
308(38)
Individual Values Compared with Averages
312(2)
Estimation of Population Sigma from Sample Data
314(1)
Control Limits versus Specification Limits
315(3)
The 6 σ Spread versus Specification Limits
318(2)
Calculating Process Capability Indices
320(13)
Summary
333(1)
Lessons Learned
333(1)
Formulas
333(1)
Chapter Problems
334(2)
Case Studies
336(10)
Other Variable Control Charts
346(53)
Individual and Moving-Range Charts
348(8)
Moving-Average and Moving-Range Charts
356(2)
A Chart Plotting All Individual Values
358(2)
Median and Range Charts
360(7)
Run Charts
367(3)
A Chart for Variable Subgroup Size
370(1)
Precontrol Charts
370(6)
Short-Run Charts
376(5)
Summary
381(1)
Lessons Learned
381(3)
Formulas
384(1)
Chapter Problems
385(9)
Case Studies
394(5)
III CONTROL CHARTS FOR ATTRIBUTES
399(118)
Probability
400(46)
Probability Theorems
402(8)
Permutations and Combinations
410(5)
Discrete Probability Distributions
415(14)
Continuous Probability Distribution
429(2)
Distribution Interrelationships and Approximations
431(2)
Summary
433(1)
Lessons Learned
433(1)
Formulas
434(2)
Chapter Problems
436(5)
Case Studies
441(5)
Quality Control Charts for Attributes
446(71)
Attributes
448(1)
Charts for Nonconforming Units
448(25)
Charts for Counts of Nonconformities
473(13)
Summary
486(2)
Lessons Learned
488(1)
Formulas
489(2)
Chapter Problems
491(15)
Case Studies
506(11)
IV EXPANDING THE SCOPE OF QUALITY
517(213)
Reliability
518(32)
Reliability
520(1)
Reliability Programs
521(5)
Product Life Cycle Curve
526(3)
Measures of Reliability
529(9)
Reliability Engineers
538(1)
Summary
538(1)
Lessons Learned
538(1)
Formulas
539(1)
Chapter Problems
539(5)
Case Studies
544(6)
Advanced Topics in Quality
550(44)
Quality Function Deployment
552(12)
Design of Experiments
564(22)
Summary
586(1)
Lessons Learned
586(1)
Chapter Problems
586(3)
Case Studies
589(5)
Quality Costs
594(36)
What Are Quality Costs?
596(2)
Defining Quality Costs
598(4)
Types of Quality Costs
602(4)
Quality-Cost Measurement System
606(4)
Utilizing Quality Costs for Decision Making
610(5)
Summary
615(1)
Lessons Learned
615(1)
Chapter Problems
616(2)
Case Studies
618(12)
Product Liability
630(34)
The Evolution of Product Liability
632(1)
Warranties
633(1)
Liability Loss Control Programs
633(14)
Product Liability Suits
647(1)
Future Considerations
648(1)
Summary
649(1)
Lessons Learned
649(1)
Chapter Problems
650(2)
Case Studies
652(12)
Quality Systems: ISO 9000, Supplier Certification Requirements, the Malcolm Baldrige Award, and Six Sigma
664(38)
Quality Systems
666(1)
ISO 9000
666(6)
Supplier Certification Requirements
672(2)
ISO 14000: Environmental Management
674(3)
Malcolm Baldrige National Quality Award
677(4)
Six Sigma
681(10)
Summary
691(1)
Lessons Learned
691(1)
Chapter Problems
692(2)
Case Study
694(8)
Benchmarking and Auditing
702(28)
Benchmarking
704(8)
Auditing
712(6)
Summary
718(1)
Lessons Learned
718(1)
Chapter Problems
718(3)
Case Studies
721(9)
Appendix 1 Normal Curve Areas P(Z ≤ Z0) 730(2)
Appendix 2 Factors for Computing Central Lines and 3σ Control Limits for X, s, and R Charts 732(1)
Appendix 3 Values of t Distribution 733(2)
Appendix 4 Cumulative Binomial Probability Distribution 735(11)
Appendix 5 The Poisson Distribution 746(4)
Appendix 6 About PQ Systems 750(2)
Appendix 7 Student Version Software 752(30)
Appendix 8 Websites for Quality 782(1)
Glossary 783(14)
Answers to Selected Problems 797(3)
Bibliography 800(8)
Index 808


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