Statistical Quality Control Methods

✍ Scribed by Irving W. Burr

• Publisher: Routledge
• Year: 2018
• Tongue: English
• Leaves: 537
• Series: Statistics textbooks and monographs
• Category: Library

✦ Synopsis

First Published in 2018. Routledge is an imprint of Taylor & Francis, an Informa company.

✦ Table of Contents

Content: Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
PREFACE
1: INTRODUCTION
1.1 What is Statistics?
1.2 Why Statistical Quality Control?
1.3 Aim of Book
1.4 Prerequisites
1.5 Suggestions to the Student
2: BRIEF REVIEW OF STATISTICAL BACKGROUHD
2.1 Population and Sample
2.2 Parameter and Statistic
2.3 Notations
2.4 Probability Definitions and Laws
2.5 Distribution of Sample Statistics
2.6 Statistical Estimation
2.7 Testing Hypotheses
References
3: CONTROL CHARTS IN GENERAL
3.1 Introduction
3.2 Running Records of Performance 3.3 Random and Assignable Causes3.4 The Control Chart for Interpreting Variations in Quality
3.5 Two Purposes of Control Charts
3.6 Economic Balance Between Two Errors
3.7 Meaning of a Process in Control and Potential Advantages
Problems
References
4: CONTROL CHARTS FOR MEASUREMENTS
4.1 Introduction
4.2 Control Charts for Averages, Ranges and Standard Deviations, from Given Standards
4.3 Control Charts for Averages, Ranges and Standard Deviations, Analyzing Past Data
4.4 Comparison of the Two Charts for Variability
4.5 Comparison of a Process with Specifications 4.6 Continuing the Charts4.7 Illustrative Examples
4.8 Kinds of Assignable Causes
4.9 When to Set Standard Values --
Process Capability
4.10 Use of Runs for Out of Controlness
4.11 Summary
Problems
References
5: BACKGROUND OF CONTROL CHARTS FOR MEASUREMENTS
5.1 Introduction
5.2 The Empirical Approach to Sampling Distributions
5.3 Control Charts for Samples from Normal Populations of x's
Problems
References
6: CONTROL CHARTS FOR ATTRIBUTES
6.1 Introduction
6.2 Control Charts for Defectives
6.3 Control Charts for Defects
6.4 General Comments on Control Charts for Attributes 6.5 A Method of Rating Product Quality6.6 Summary
Problems
References
7: MISCELLANEOUS TOPICS IN CONTROL CHARTS
7.1 Control Charts for Individual Measurements, Moving Ranges
7.2 Tool Wear and Other Gradual Process Changes
7.3 Charts for x̄ and s, Large Samples
7.4 Charts for x̄ and R or s , with Varying Sample Size
7.5 Different Types of Samples
7.6 Relative Efficiency of Different Types of Charts
7.7 Artificial ""Specifications"" for Greater Efficiency in Attribute Charts
7.8 Summary Charts for x̄ and R̄
7.9 Variations of Control Charts
7.10 Summary
Problems
References 8: APPLICATIONS OF CONTROL CHARTS8.1 What Manufacturing Problem to Work On
8.2 Attacking an Industrial Problem
8.3 List of Typical Applications of Control Charts
8.4 Use in the Laboratory
8.5 The Quality Control Person
8.6 Bibliography on Applications
9: ACCEPTANCE SAHPLING BY ATTRIBUTES
9.1 Why Acceptance Sampling?
9.2 Characteristics of Sampling Palns
9.3 Acceptance Criteria for Attribute Acceptance Plans
9.4 Operating Characteristic (OC) Curve. Defectives.
9.5 The Average Outgoing Quality Curve, AOQ Curve
9.6 The Average Sample Number Curve, ASN Curve