Statistical Quality Control

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$145.95
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ISBN 9780849323478
Cat# 2347
 

Features

  • Presents techniques in the same order in which they are used in most real applications
  • Solutions manual available with qualifying course adoption
  • Provides detailed treatment of the steps required in sound quality assurance and quality control methodologies
  • Includes in-depth coverage of tolerancing and loss function, including Taguchi's theory of robust design
  • Dedicates whole chapters to Optimum Process Means and Process Setting
  • Sequences and integrates various techniques used in quality control/assurance
  • Summary

    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.

    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

    Editorial 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