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Power of Statistical Thinking Improving Industrial Processes

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ISBN-10: 0201633906

ISBN-13: 9780201633900

Edition: 1996

Authors: Richard D. Sanders, Cheryl Hild, Mary G. Leitnaker

List price: $56.00
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Book details

List price: $56.00
Copyright year: 1996
Publisher: Prentice Hall PTR
Publication date: 11/30/1995
Binding: Paperback
Pages: 544
Size: 8.00" wide x 9.75" long x 1.50" tall
Weight: 2.574
Language: English

Introduction to the Use of Statistical Methods in Strategic Organizational Improvement
Process Definition
Statistical Techniques for Process Study
Managing Processes Within an Organizational Context
The Impact of Variation on Achieving Process Objectives
The Scientific Method and Process Management
Tools for Process Study
Use of Flowcharts for Describing Process Operations
Planning for Data Collection
Pareto Diagrams
Cause and Effect Diagrams
Introduction to the Concept of Statistical Control Charts
Summary
Control Charts for Attributes Data: p and np Charts
Description of Attributes Data Requiring the Use of p or np Charts
Construction of p Charts
The Concept of Statistical Control
Construction of np Charts
Construction of p Charts When n Varies
Collection of Attributes Data to Support Process Study: A Case Study
Supporting Ideas for the Effective Use of p and np Charts
Practice Problems
Application Problem
Control Charts for Attributes Data: c and u Charts
Description of Attributes Data Requiring the Use of c or u Charts
Construction of c Charts
Construction of u Charts
Using c and u Charts in Ongoing Process Improvement Work: A Case Study
Supporting Ideas for the Effective Use of c and u Charts
Summary
Practice Problems
Application Problem
Control Charts for Variables Data: Variability and Location
Description of Types of Variation in Process Data
Identifying Variation and Knowing Its Sources
Charts for Variables Data and Process Analysis
Summaries of Process Behavior
Examples of the Process Use of Range and X-bar Charts
Supporting Principles for the Effective Use of R and X-bar Charts (or s and X-bar Charts)
Practice Problems
Application Problem
Sampling and Subgrouping Principles
Sampling, Subgrouping, and Elements of Purpose
Chart Characteristics Direct Sampling and Subgroup Formation
Three Sampling and Subgrouping Plans in a Dimensional Study
Subgrouping Plans for Processes with Possible Fixed Differences
Subgrouping Plans for Studying Coils, Webs, or Rolls
Principles for Rational Subgrouping
An Application of the Principles of Rational Subgrouping
Summary
Application Problems
Control Charts for Variables Data: Moving Range and Individuals Charts
Process Data with Logical Subgroups of Size One
Evaluating Process Behavior with Moving Range and Individuals Charts
A Discussion of Issues Associated with the Use of MR and X Charts
Application of MR and X Charts in Process Study
Ideas for the Effective Use of MR and X Charts
Summary
Practice Problems
Application Problem
Subgrouping and Components of Variation
Understanding the Components Contributing to Total Variation
Study of the Components of Variation in a Batch Process
Example of a Multiple-level Subgrouping Plan and Analysis
Study of Fixed Effects in a Hierarchical Model
Practice Problems
Application Problem
Measurement Processes
Characterizing a Measurement Process
Evaluation of a Measurement Process: Reporting on Total Laboratory Variation
The Effect of Measurement Variation on Process Study
Comparison of Measurement Processes
Gauge R and R Studies
Recommendations for Ensuring Good Measurements
Application Problems
The Role of Designed Experiments in Process Management
Definition of Designed Experiments
Elements of Designed Experiments
Basic Mechanics of Designed Experiments
Additional Experimental Strategies
Summary and Design References
Practice Problems
Probability Models
The Normal Probability Model
The Binomial Probability Model: A Theoretical Basis for p and np Charts
The Poisson Probability Model: A Theoretical Basis for c Charts
Runs Tests
Seven Successive Points in or Beyond Zone C on Same Side of Centerline (or the Rule of Seven)
Test for Length of Longest Run
Test for Too Few Runs
Two Out of Three Successive Points in Zone A or Beyond
Four Out of Five Successive Points in Zone B or Beyond
Fifteen or More Consecutive Points in Zone C on Either Side of Centerline
Eight Consecutive Points Beyond Zone C on Either Side of Centerline
Symbols for More Detailed Process Flowcharts
Statistical Tables
Standard Normal Distribution
Factors for Use with X-bar and Range Charts
Factors for Use with X-bar and s Charts
Denominator Degrees of Freedom F(alpha) for alpha = .05
Denominator Degrees of Freedom F(alpha) for alpha = .01
Answers to Practice Problems
Bibliography
Index