The new experimental design : Taguchi's approach to quality engineering /

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Bibliographic Details
Author / Creator:Mori, Teruo, 1946-
Uniform title:Taguchi mesoddo o tsukatta yasashii shinjikken keikakuhō nyūmon. English
Imprint:Dearborn, Mich. : ASI Press, c1990.
Description:xv, 320 p. : ill. ; 26 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1121578
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ISBN:0941243133 : $45.00
Notes:Translation of: Taguchi mesoddo o tsukatta yasashii shinjikken keikakuhō nyūmon.
Includes index.
Table of Contents:
  • 1. Importance of Experimental Design Today. 1-1. Corporate Competition in the Multi-Product Small Quantity Production Era. 1-2. The Role of Design in Corporate Profit. 1-3. The Technological Capability of Corporate Engineers. 1-4. The Difference between Science and Engineering
  • 2. Traditional Experimental Design Deficiencies. 2-1. Four Methods for Determining the Optimum Condition and Their Limitations. 2-2. Education in Experimental Methodology for Engineers. 2-3. A Method for Determining the Optimum Condition. 2-4. Traditional Experimentation - Fisher's Three Basic Principles. 2-5. A Test Machine Experiment that Gives the Same Results as a Production Machine Experiment
  • 3. Classification of Quality Characteristics and Determination of Optimum Condition
  • 3-1. Introduction. 3-2. Characteristic Value Classification Based on Data Form and Objective. 3-3. Data Transformation. 3-4. Experimental Objectives and Data Transformation. 3-5. The Level Sum, Process Average, and Factorial Effects Chart. 3-6. Determination of the Optimum Condition and Its Estimate. 3-7. Total Evaluation to Determine the Final Optimum Condition
  • 4. Experimental DesignApplication Manual
  • 5. Description of the Experimental Design Application Manual. 5-1. Factors and Levels. 5-2. Assignment of Factors to the Orthogonal Array. 5-3. Experimental Data Collection. 5-4. Data Analysis
  • 6. Experimental Design Method Examples Based on the Manual. 6-1. Research on Optical-Part-Hole-Position Variability Reduction. 6-2. Improvement of Picture Image Formation - Film Adhesiveness and Picture Developability. 6-3. Improvement of Chemical Plating Quantity Control and Variability of an Electronic Part (Parameter Design)
  • 7. Specialized Factor Assignment Techniques. 7-1. Four- and Eight-Level Arrangement in the Two-Level System. 7-2. Three-Level Arrangement in the Two-Level System (Dummy-Level Technique). 7-3. Three-Level Assignment in the Two-Level System: (Idle-Column Technique). 7-4. Two-Level Arrangement in the Three-Level System (Dummy-Level Technique). 7-5. Nine-Level Arrangement in the Three-Level System. 7-6. Combination Technique. 7-7. A Method Where Different Factor Types Are Used for Different Levels (Nested-Factor Technique). 7-8. Assignment and Analysis Examples
  • 8. An Introduction to Analysis of Variance. 8-1. The Role of Analysis of Variance. 8-2. An Example of Analysis of Variance (L[subscript 8]: Acid-Resistant Reactor Production). 8-3. Formulae for Variation Calculation. 8-4. ANOVA Examples for Various Assignment Techniques. 8-5. Analysis of Variance for Classified Data (Accumulation Analysis) Introduction. 8-6. Analysis of Variance for Classified Data, ([0, 1] Data Corresponds with the Example in Table 2-9). 8-7. Examples of Analysis of Variance
  • 9. Analysis of Variance Applications: Tolerance Design and Process Control. 9-1. Tolerance Design (Example: Electronic-Parts Chemical Plating-Process Tolerance Determination). 9-2. Experimental Design Method with Two Kinds of Error (Example: A Method for Determining the Optimum Condition of a Sensor in an Automation System)
  • 10. Computer Program. 10-1. Programming for an L[subscript 16]. 10-2. Output table for an L[subscript 16] Array. 10-3. S/N Ratio Data-Transformation Programming.