Design of Experiments Using Taguchi Approach

Design of Experiments Using Taguchi Approach
اسم المؤلف
Ranjit K. Roy
التاريخ
5 مارس 2015
المشاهدات
668
التقييم
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Design of Experiments Using Taguchi Approach
Ranjit K. Roy, Ph.D., P.E.
Table of Contents
Section Headings Page
Module-1: Overview and Approach (10 Pages)
1.1 What is The Taguchi Approach and Who is Taguchi? 1-1
1.2 New Philosophy and Attitude Toward Quality 1-2
1.3 The New Discipline 1-4
1.4 Simpler and Standardized Experiment Design Technique 1-6
1.5 Seminar Objectives 1-7
Review Questions 1-9
Module-2: Experiments Using Standard Orthogonal Arrays (30 pages)
2.1 Design of Experiment Basics 2-1
2.2 Experiments with 2-level Factors 2-4
2.3 Designing Experiments with Seven 2-level Factors 2-6
2.4 Full Factorial Design with Seven 2-level Factors 2-7
2.5 Tools for Experiment Designs 2-8
2.6 Application Steps 2-11
2.7 Procedure for Experiment Planning (Brainstorming) 2-13
2.8 Results with Multiple Criteria of Evaluations 2-14
2.9 Common Terms and their Definitions 2-15
2.10 Analysis of Results 2-17
2.11 Experiment Designs with Larger Number of Factors 2-21
2.12 Basic Experiment Design and Analysis Strategy 2-22
2.13 Accuracy of Orthogonal Array Experiments 2-23
2.14 Learning Check List 2-24
Review Questions 2-25
Module-3: Interaction Studies (19 Pages)
3.1 Experiments Designed to Study Interactions 3-1
3.2 Guidelines for Interaction Studies 3-5
3.3 Steps in Interaction Analysis 3-6
Review Questions 3-14
Module-4: Experiment design with Mixed Level Factors (20 Pages)
4.1 Modification of Standard Orthogonal Arrays 4-1
4.2 Upgrading Column Levels 4-2
4.3 Downgrading Columns 4-6
4.4 Incompatible Factor Levels 4-10
4.5 Combination Design (Special Technique) 4-11
Course RECAP 4-13
Review Questions 4-1
Module-5: Robust Design Strategy (18 Pages)
5.1 Ambitious Business Goals 5-1
5.2 Mechanics of Outer Array Designs 5-3
5.3 Benefits of Outer Array Design 5-5
5.4 Analysis of Repeated Results 5-6
5.5 Definition of MSD for the three QC’s 5-8
5.6 Experiment Design and Analysis Strategies 5-12
5.7 Experiment Design Tips 5-13
Review Questions 5-15
Module 6: Standard and S/N Analyses with ANOVA (34 Pages)
6.1 Analysis Guidelines 6-1
6.2 Test for Presence of Interaction 6-5
6.3 ANOVA 6-6
6.4 Pooling Technique 6-13
6.5 Confidence Interval of Main Effects 6-15
6.6 Discussion on Some Key Issues 6-17
6.7 Example 8B: Standard Analysis with Multiple Runs 6-19
6.8 Example 9A: S/N Analysis – Nominal is the Best 6-22
6.9 Example 9B: S/N Analysis – Smaller is Better 6-24
6.10 Example 9C: S/N Analysis – Bigger is better 6-26
6.11 Understanding and Interpreting Error Terms 6-29
Review Questions 6-31
Module-7: Loss Function (11 Pages)
7.1 Taguchi Loss Function 7-1
7.2 Manufacturer and Supplier Tolerances 7-5
Review Questions 7-9
Module-8: Application Steps (12 Pages)
8.1 Description of Application Steps 8-2
8.2 Brainstorming for Design of Experiments(DOE) 8-3
8.3 Overall Evaluation Criteria 8-5
8.4 Taguchi Vs. Classical DOE 8-8
Review Questions 8-10
Module-9: Robust Design for Dynamic Systems (Optional, 25 Pages) 9-1
Reference Materials (Appendix, 26 Pages)
كلمة سر فك الضغط : books-world.net
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