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Design of experiments for engineers and scientists / Jiju Antony.

By: Material type: TextTextSeries: Elsevier insightsPublisher: Elsevier, 2014Edition: 2nd editionDescription: x, 208 pages : illustrations ; 24 cmContent type:
  • still image
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780080994178
  • 0080994172
  • 0080994199
  • 9780080994192
Subject(s): LOC classification:
  • QA279 ANT
Contents:
Machine generated contents note: 1. Introduction to Industrial Experimentation -- 1.1. Introduction -- 1.2. Some Fundamental and Practical Issues in Industrial Experimentation -- 1.3. Statistical Thinking and its Role Within DOE -- Exercises -- References -- 2. Fundamentals of Design of Experiments -- 2.1. Introduction -- 2.2. Basic Principles of DOE -- 2.3. Degrees of Freedom -- 2.4. Confounding -- 2.5. Selection of Quality Characteristics for Industrial Experiments -- Exercises -- References -- 3. Understanding Key Interactions in Processes -- 3.1. Introduction -- 3.2. Alternative Method for Calculating the Two-Order Interaction Effect -- 3.3. Synergistic Interaction Versus Antagonistic Interaction -- 3.4. Scenario 1 -- 3.5. Scenario 2 -- 3.6. Scenario 3 -- Exercises -- References -- 4.A Systematic Methodology for Design of Experiments -- 4.1. Introduction -- 4.2. Barriers in the Successful Application of DOE -- 4.3.A Practical Methodology for DOE -- 4.4. Analytical Tools of DOE.
Contents note continued: 4.5. Model Building for Predicting Response Function -- 4.6. Confidence Interval for the Mean Response -- 4.7. Statistical, Technical and Sociological Dimensions of DOE -- Exercises -- References -- 5. Screening Designs -- 5.1. Introduction -- 5.2. Geometric and Non-geometric P--B Designs -- Exercises -- References -- 6. Full Factorial Designs -- 6.1. Introduction -- 6.2. Example of a 22 Full Factorial Design -- 6.3. Example of a 23 Full Factorial Design -- 6.4. Example of a 24 Full Factorial Design -- Exercises -- References -- 7. Fractional Factorial Designs -- 7.1. Introduction -- 7.2. Construction of Half-Fractional Factorial Designs -- 7.3. Example of a 2(7--4) Factorial Design -- 7.4. An Application of 2-Level Fractional Factorial Design -- Exercises -- References -- 8. Some Useful and Practical Tips for Making Your Industrial Experiments Successful -- 8.1. Introduction -- Exercises -- References -- 9. Case Studies -- 9.1. Introduction -- 9.2. Case Studies.
Contents note continued: References -- 10. Design of Experiments and its Applications in the Service Industry -- 10.1. Introduction to the Service Industry -- 10.2. Fundamental Differences Between the Manufacturing and Service Organisations -- 10.3. DOE in the Service Industry: Fundamental Challenges -- 10.4. Benefits of DOE in Service/Non-Manufacturing Industry -- 10.5. DOE: Case Examples from the Service Industry -- 10.6. Role of Computer Simulation Models Within DOE -- Exercises -- References -- 11. Design of Experiments and its Role Within Six Sigma -- 11.1. What is Six Sigma? -- 11.2. How Six Sigma is Different from Other Quality Improvement Initiatives of the Past -- 11.3. Who Makes Six Sigma Work? -- 11.4. Six Sigma Methodology (DMAIC Methodology) -- 11.5. DOE and its Role Within Six Sigma -- Exercises.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Main Library Open Shelf QA279 ANT (Browse shelf(Opens below)) 162070 Available BK150068

Previous edition: 2003.

Includes bibliographical references.

Machine generated contents note: 1. Introduction to Industrial Experimentation -- 1.1. Introduction -- 1.2. Some Fundamental and Practical Issues in Industrial Experimentation -- 1.3. Statistical Thinking and its Role Within DOE -- Exercises -- References -- 2. Fundamentals of Design of Experiments -- 2.1. Introduction -- 2.2. Basic Principles of DOE -- 2.3. Degrees of Freedom -- 2.4. Confounding -- 2.5. Selection of Quality Characteristics for Industrial Experiments -- Exercises -- References -- 3. Understanding Key Interactions in Processes -- 3.1. Introduction -- 3.2. Alternative Method for Calculating the Two-Order Interaction Effect -- 3.3. Synergistic Interaction Versus Antagonistic Interaction -- 3.4. Scenario 1 -- 3.5. Scenario 2 -- 3.6. Scenario 3 -- Exercises -- References -- 4.A Systematic Methodology for Design of Experiments -- 4.1. Introduction -- 4.2. Barriers in the Successful Application of DOE -- 4.3.A Practical Methodology for DOE -- 4.4. Analytical Tools of DOE.

Contents note continued: 4.5. Model Building for Predicting Response Function -- 4.6. Confidence Interval for the Mean Response -- 4.7. Statistical, Technical and Sociological Dimensions of DOE -- Exercises -- References -- 5. Screening Designs -- 5.1. Introduction -- 5.2. Geometric and Non-geometric P--B Designs -- Exercises -- References -- 6. Full Factorial Designs -- 6.1. Introduction -- 6.2. Example of a 22 Full Factorial Design -- 6.3. Example of a 23 Full Factorial Design -- 6.4. Example of a 24 Full Factorial Design -- Exercises -- References -- 7. Fractional Factorial Designs -- 7.1. Introduction -- 7.2. Construction of Half-Fractional Factorial Designs -- 7.3. Example of a 2(7--4) Factorial Design -- 7.4. An Application of 2-Level Fractional Factorial Design -- Exercises -- References -- 8. Some Useful and Practical Tips for Making Your Industrial Experiments Successful -- 8.1. Introduction -- Exercises -- References -- 9. Case Studies -- 9.1. Introduction -- 9.2. Case Studies.

Contents note continued: References -- 10. Design of Experiments and its Applications in the Service Industry -- 10.1. Introduction to the Service Industry -- 10.2. Fundamental Differences Between the Manufacturing and Service Organisations -- 10.3. DOE in the Service Industry: Fundamental Challenges -- 10.4. Benefits of DOE in Service/Non-Manufacturing Industry -- 10.5. DOE: Case Examples from the Service Industry -- 10.6. Role of Computer Simulation Models Within DOE -- Exercises -- References -- 11. Design of Experiments and its Role Within Six Sigma -- 11.1. What is Six Sigma? -- 11.2. How Six Sigma is Different from Other Quality Improvement Initiatives of the Past -- 11.3. Who Makes Six Sigma Work? -- 11.4. Six Sigma Methodology (DMAIC Methodology) -- 11.5. DOE and its Role Within Six Sigma -- Exercises.

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