Statistical Quality Control: 1st Edition (Hardback) book cover

Statistical Quality Control

1st Edition

By M. Jeya Chandra

CRC Press

296 pages | 50 B/W Illus.

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Hardback: 9780849323478
pub: 2001-06-21
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Description

It has recently become apparent that "quality" is quickly becoming the single most important factor for success and growth in business. Companies achieving higher quality in their products through effective quality improvement programs enjoy a significant competitive advantage. It is, therefore, essential for engineers responsible for design, development, and manufacture of products to understand the concepts and techniques of quality control. Statistical Quality Control imparts that understanding.

Covering the basic steps in quality assurance and control methodologies, this unique text not only sequences, but also integrates the various techniques presented. The chapters, which include Optimum Process Means and Process Setting, are arranged in logical order. This advanced treatment makes Statistical Quality Control an ideal graduate text as well as a reference for practitioners working in design and quality control.

Reviews

"… A broad spectrum of topics is covered, some of which are rather unique (e.g. optimum process level in Chapter 6 and process setting in Chapter 7) in the sense that they motivate the reader to pursue further research in those areas … Overall, I believe that Statistical Quality Control will serve the needs of a one-semester graduate course in engineering."

-Technometrics, November 2002

Table of Contents

TOLERANCING

Introduction

Preliminaries

Additive Relationship

Probabilistic Relationship

Tolerance Allocation When the Means Are Not Equal to the Nominal Sizes

Tolerance Allocation which Minimizes the Total Manufacturing Cost

Tolerance Allocation in Assemblies with More Than One Quality Characteristic

Tolerance Allocation When the Number of Processes Is Finite

Tolerance Allocation for Nonlinear Relationship among Components

LOSS FUNCTION

Introduction

Development of Taguchi's Loss Function

Loss Function for Different Types of Quality Characteristics

Robust Design Using Loss Function

PROCESS CAPABILITY

Introduction

Preliminaries

Process Capability Indexes and Their Limitations

Steps for Estimating Process Capability Indexes

Estimators of Process Capability Indexes

Process Capability Indexes for Non-normal Characteristics

Probability Distributions of Process Capability Indexes

MEASUREMENT ERROR

Introduction

Modeling of Measurement Errors

Estimation of Measurement Errors

Effect of Measurement Errors

OPTIMUM PROCESS LEVEL

Introduction

Optimal Mean for Larger-the-Better Type Quality Characteristics

Optimal Mean for Canning Problem

Optimal Mean for Nominal-the-Better Type Quality Characteristics

PROCESS SETTING

Introduction

Preliminaries

Optimal Process Setting

PROCESS CONTROL

Introduction

Preliminaries

Design of X Bar Control Charts

Special Control Charts

DESIGN OF EXPERIMENTS

Introduction

Single Factor Experiments

Two Factor Experiments

Nested Designs

2n Full Factorial Designs in Complete Blocks

2n Full Factorial Designs in Incomplete Blocks

2n Fractional Factorial designs

Taguchi's Orthogonal Arrays

Subject Categories

BISAC Subject Codes/Headings:
BUS053000
BUSINESS & ECONOMICS / Quality Control
MAT003000
MATHEMATICS / Applied
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control