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Statistical Process Control and Quality Improvement

ISBN-10: 0130490369
ISBN-13: 9780130490360
Edition: 5th 2004 (Revised)
Authors: Gerald M. Smith
List price: $211.60
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Description: For freshman/sophomore level introductory courses in SPC (Statistical Process Control), Statistical Quality Control or Quality Control found in two and four-year college curriculums, and in industrial training programs. This mathematics-friendly  More...

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Book details

List price: $211.60
Edition: 5th
Copyright year: 2004
Publisher: Prentice Hall PTR
Publication date: 7/11/2003
Binding: Paperback
Pages: 672
Size: 7.00" wide x 9.25" long x 1.00" tall
Weight: 2.442
Language: English

For freshman/sophomore level introductory courses in SPC (Statistical Process Control), Statistical Quality Control or Quality Control found in two and four-year college curriculums, and in industrial training programs. This mathematics-friendly text introduces students to basic concepts and applications of Statistical Process Control (SPC). Students get a solid foundation in control chartsincluding setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace.

Introduction to Quality Concepts and Statistical Process Control
What is Quality?
The Need for SPC
Prevention versus detection
SPC Goals
The basic Tools for SPC
Statistical Process Control Techniques
Applying SPC to an Existing Manufacturing Process
Designed Experiments
Striving for Quality: Management's Problem and Management's Solution
Management's Problem
Management's Dilemma
Leadership by Management
Deming's Contribution to Quality
Deming's 14 Points for Management
Deming's Seven Deadly Diseases
Crosby's Approach
A Comparison of Deming's 14 Points and Crosby's 14 Steps
Which Way to Top Quality? Pitfalls in the Quest for Quality
Total Quality Management (TQM)
The Malcolm Baldrige National Quality Award
Total Customer Satisfaction
ISO-9000
The Service Sector
Introduction to Variation and Statistics
Measurement Concepts
Special-Cause and Common-Cause Variation
The Variation Concepts
Distributions and SPC Goals
Basic Statistical Concepts
Distributions and Three Standard Deviations
Organization of Data: Introduction to Tables, Charts, and Graphs
Stemplots
Frequency Distributions and Tally Charts
Histograms
Histogram Analysis Examples
Pareto Charts
Flowcharts
Storyboards
The Cause-and-Effect Diagram
Checksheets
Scatterplots
The Normal Probability Distribution
Probability Distributions
The Normal Probability Distribution
The Application of the Central Limit Theorem
Introduction to Control Charts
Introduction to the Control Chart Concept
Preparation for Control Charting
Control Charts and Run Charts
The Basic x and R Charts
The x and R Chart Procedure
The Continuation Control Chart
The Capability Analysis
Six-Sigma Quality
Additional Control Charts for Variables
The Median and Range Chart (x and R)
x and s Charts
Coding Data
A Modified x and R Chart for Small Sets of Data
The Nominal x and R Chart
The Transformation x and R Chart
Control Chart Selection
Variables Charts for Limited Data
Precontrol or Rainbow Charts
Compound Probability
Modified Precontrol for Tight Control
Charts for Individual Measurements
Attributes Control Charts
The Four Types of Attributes Charts
The p Chart
The np Chart
The c Chart
The u Chart
SPC Applied to the Learning Process
Technology in SPC
Interpreting Control Charts
The Random Distribution of Points
Freaks
Binomial Distribution Applications
Freak Patterns
Shifts
Runs and Trends
Time and Control Chart Patterns
Cycles
Grouping
Instability
Stable Mixtures
Stratification
Using Control Chart Patterns in Problem Solving
Problem Solving
The Problem-Solving Sequence
Teamwork for Problem Solving
Brainstorming
Using Problem-Solving Tools
Mistake Proofing
Problem Solving in Management
JIT (Just-in-time)
Problem Solving in the Classroom
Gauge Capability
Preparations for a Gauge Capability Study
The Gauge Capability Procedure
Analysis of R and R with Accuracy and Stability: Maximum Possible Deflection
The Elimination of Gauge Variation From Process Variation
Indecisive Gauge Readings
Acceptance Sampling
The Sampling Dilemma
Random Sampling
Operating Characteristic Curves
The Average Outgoing Quality Curve
MLT-STD-105D for Inspection by Attributes
The Average Proportion Defective
Vendor Certification and Control Chart Monitoring
Appendix A
Basic Math Concepts and Probability
Signed Numbers
Variables
Order of Operations
Inequalities
Using the Statistical Calculator
Probability
Appendix B
Charts and Table

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