Six Sigma and Beyond: Statistical Process Control, Volume IV, 1st Edition (Hardback) book cover

Six Sigma and Beyond

Statistical Process Control, Volume IV, 1st Edition

By D.H. Stamatis

CRC Press

520 pages | 211 B/W Illus.

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Hardback: 9781574443134
pub: 2002-09-25
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Description

In this volume of the Six Sigma and Beyond series, quality engineering expert D.H. Stamatis focuses on how Statistical Process Control (SPC) relates to Six Sigma. He emphasizes the "why we do" and "how to do" SPC in many different environments. The book provides readers with an overview of SPC in easy-to-follow, easy-to-understand terms. The author reviews and explains traditional SPC tools and how they relate to Six Sigma and goes on to cover the use of advanced techniques. In addition, he addresses issues that concern service SPC and short run processes, explores the issue of capability for both the short run and the long run, and discusses topics in measurement.

Table of Contents

Introduction

What is statistical process control (SPC)?

The need for improvement

Overview

How to effectively direct the SPC effort?

What is ideal process control?

How to pull it off

Problem solving techniques

Overview

Team concept

Tools and techniques

Problem solving difficulties

Selected bibliography

Summarizing dada

Overview

Summarizing data

Graphical presentation

Selected bibliography

Descriptive statistics

Overview

Measures of central tendencies

Measures of dispersion

Normal distribution

Overview

Characteristics of the normal distribution

Standardized values(Z)

Underlying distribution analysis

Methods of testing for underlying distributions

Process variation and control charts

Overview

Common variation

Special variation

Process control and process capability

Parts of control chart

Control chart goals

The relationship of variation to mean to normal distribution and to control chart

References

Selected bibliography

Preparing for control charts

Overview

The data orientation

Sampling consideration

The frequency of the sample

Control charts - preliminary issues

Overview of control chart development

Control chart form

References

Selected bibliography

Variable Charts

Overview

Xbar and R chart

X and MR chart

Xbar and s chart

Control chart with slopping center line

CuSum chart

References

Selected bibliography

Attribute charts

Overview

p chart

np chart

c chart

u chart

The weighted number of defects (D) chart

References

Selected bibliography

Other charts

Overview

Median chart

Standardized charts for attribute data

Difference control chart

The lot plot method

Modified control charts

Tool wear and trend analysis

Control charts based on weighted average

Miscellaneous control charts

Methods for controlling several related quality characteristics

Statistical alternatives to control charts

Evolutionary operation

References

Control chart signals

Overview

Common variation

Special variation

Out of control points

The runs test

Control charts and hypothesis testing

Other out of control indications

Statistical analysis of control conditions

Statistical analysis of runs

Statistical analysis of trends

References

Selected bibliography

Capability

Overview

Capability analysis

Process and machine capability

Steps for studying process capability

Interpreting capability results

Capability indices

Motorola's 6 sigma

Comments on traditional and 6 sigma capability

References

Selected bibliography

Short run SPC

Overview

Definition of short run

Coded data

Target values

Sampling considerations

Short run variable charts

Short Run Attribute control charts

Interpretation of short run charts

Recalculating targets, not control limits

Recalculating target values

Measuring capability

References

Selected bibliography

Distribution shape and stability

Overview

Capability analysis and non normal distribution

Trending processes and control charts

Trending processes and capability

Selected bibliography

Measurement system analysis

Overview

Measurement error vocabulary and concepts

Basic measurement error analysis (MEA)

Control charts measurement stability

Measurement error analysis and advanced statistical methods

Load the computer software

References

Selected bibliography

Machine acceptance

Overview

Phase I: Preliminary investigating machine warm-up and supplier's previous studies

Phase I example

Phase II: Preliminary study investigating process stability and capability description

Phase II example

Phase III: Recommended yes/no acceptance. A study predicting long term capability

Phase IIII example

Final step

Using the computer. A full description of how to use MINITAB and SPC with machine acceptance type data

Typical Phase II computer session

Selected bibliography

SPC for non manufacturing

Overview

Criteria for success

Reaction versus Planning

Implementation strategy

Tools

Process improvement

References

Selected bibliography

Appendix A: General Statistics

How do you compute average

Control limits for Xbar and Rcharts

Control limits for p charts

Common SPC formulae

Formulae for calculating control chart limits

Capability

Control chart construction guide - variable data

Control chart construction guide - attribute data

Testing for normality and exponentiality

Appendix B: Production Part Approval Process (PPAP)

Appendix C: Deming's Management Principles

Appendix D. Quality needs and overall strategic plan

Appendix E. Statistical tables

Appendix F. Forms

Flow process chart

Variable control chart form

Attribute control chart form

Control chart - process log sheet

Data collection sheet for capability analysis

Capability analysis sheet

Capability analysis - normal distribution

Capability analysis - skew distribution

Subject Categories

BISAC Subject Codes/Headings:
BUS053000
BUSINESS & ECONOMICS / Quality Control
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control