Taguchi Methods Open Course
Lectured by Huei-Huang Lee
Taguchi Methods Open Course
Lectured by Huei-Huang Lee
Lecture 2. Case Study: Polysilicon Deposition Process (1)
(PDF 1.4 MB) Lecture Notes: Lecture02.pdf
(Video 03:31) 02-01. Introduction
(Video 02:19) 02-02. Problem Description
(Video 04:21) 02-03. Problem Description: Chemical Vapor Deposition
(Video 01:16) 02-04. Problem Description: Surface Defects
(Video 04:22) 02-05. Problem Description: Thickness Uniformity
(Video 16:24) 02-06. Defect Rate and Process Capability
(Video 11:46) 02-07. Quality Characteristics and Ideal Functions
(Video 13:46) 02-08. Control Factors and Their Levels
(Video 12:47) 02-09. Noise Factors
Lecture 3. Case Study: Polysilicon Deposition Process (2)
(PDF 1.5 MB) Lecture Notes: Lecture03.pdf
(Video 06:02) 03-01. Introduction
(Video 16:22) 03-02. Experimental Data and SN Ratios (1)
(Video 11:35) 03-03. Experimental Data and SN Ratios (2)
(Video 12:30) 03-04. Quality Loss Function
(Video 08:40) 03-05. Average Quality Loss
(Video 04:35) 03-06. Definition of SN Ratios
(Video 06:30) 03-07. Mean Squared Deviation
(Video 04:21) 03-08. SN Ratios: SB and LB Cases
(Video 07:07) 03-09. SN Ratios: NB Cases
(Video 06:49) 03-10. Response Analysis (1)
(Video 06:29) 03-11. Response Analysis (2)
(Video 01:49) 03-12. Response Analysis (3)
(Video 03:46) 03-13. Response Table/Graph (Surface Defects)
(Video 01:15) 03-14. Response Table/Graph (Thickness Uniformity)
Lecture 4. Case Study: Polysilicon Deposition Process (3)
(PDF 2.0 MB) Lecture Notes: Lecture04.pdf
(Video 03:42) 04-01. Introduction
(Video 06:18) 04-02. Analysis of Response: A. Temperature
(Video 08:43) 04-03. Analysis of Response: B. Pressure
(Video 03:52) 04-04. Analysis of Response: C. Nitrogen Flow
(Video 02:18) 04-05. Analysis of Response: D. Siliane Flow
(Video 02:16) 04-06. Analysis of Response: E. Settling Time
(Video 02:40) 04-07. Analysis of Response: F. Cleaning Method
(Video 01:43) 04-08. Process Optimization
(Video 09:12) 04-09. Confirmation Experiments
(Video 12:44) 04-10. How reliable are the results?
(Video 11:17) 04-11. Additive Model (1)
(Video 07:52) 04-12. Additive Model (2)
(Video 07:51) 04-13. Additive Model (3)
(Video 10:08) 04-14. Interaction: Weight Lifting (1)
(Video 09:11) 04-15. Interaction: Weight Lifting (2)
(Video 14:43) 04-16. Are there interactions among control factors?
Lecture 5. Case Study: Tile Manufacturing Process
(PDF 1.4 MB) Lecture Notes: Lecture05.pdf
(Video 02:25) 05-01. Introduction
(Video 04:17) 05-02. Problem Description (1)
(Video 04:36) 05-03. Problem Description (2)
(Video 02:50) 05-04. Quality Characteristics
(Video 07:39) 05-05. Control Factors and Their Levels
(Video 02:20) 05-06. Noise Factors
(Video 06:56) 05-07. Experimental Array and Data
(Video 12:15) 05-08. Response Table/Graph: SN Ratios
(Video 03:13) 05-09. Response Table/Graph: Quality Characteristics
(Video 08:12) 05-10. Classification of Control Factors
(Video 06:08) 05-11. Process Optimization
(Video 05:27) 05-12. Prediction Using the Empirical Model
Lecture 6. Case Study: Brake Assembly
(PDF 1.8 MB) Lecture Notes: Lecture06.pdf
(Video 02:07) 06-01. Introduction
(Video 09:33) 06-02. Problem Description
(Video 10:46) 06-03. Quality Characteristics $ Ideal Function
(Video 04:13) 06-04. Signal Factors & Control Factors
(Video 11:50) 06-05. Noise Factors
(Video 04:07) 06-06. Experimental Array
(Video 11:16) 06-07. Experimental Data & SN Ratios
(Video 04:30) 06-08. SN Ratios (1)
(Video 02:08) 06-09. SN Ratios (2)
(Video 00:53) 06-10. Response Table/Graph: SN Ratios
(Video 00:27) 06-11. Response Table/Graph: Sensitivity
(Video 05:26) 06-12. Classification & Optimization
Lecture 7. Orthogonal Arrays: How to Use?
(PDF 1.9 MB) Lecture Notes: Lecture07.pdf
(Video 02:38) 07-01. Introduction
(Video 10:14) 07-02. Orthogonal Arrays: Overview
(Video 14:41) 07-03. Degrees of Freedom (DOF)
(Video 07:15) 07-04. Confounding
(Video 11:01) 07-05. Resolution
(Video 08:27) 07-06. L9(34), L27(313)
(Video 03:37) 07-07. Configuration of Control Factors
(Video 13:46) 07-08. Distributed Interactions OA’s (1)
(Video 04:58) 07-09. Distributed Interactions OA’s (2)
(Video 03:03) 07-10. L18(21 x37): The Most Widely Used OA
Lecture 8. Orthogonal Arrays: Case Study
(PDF 1.8 MB) Lecture Notes: Lecture08.pdf
(Video 03:21) 08-01. Introduction
(Video 03:14) 08-02. Cantilever Beam (Without Interactions)
(Video 05:06) 08-03. Analytical Factor Effects
(Video 04:03) 08-04. L9 Experiments (1)
(Video 08:28) 08-05. L9 Experiments (2)
(Video 03:54) 08-06. L8 Experiments (1)
(Video 02:32) 08-07. L8 Experiments (2)
(Video 04:46) 08-08. Cantilever Beam (With Interactions)
(Video 04:38) 08-09. Analytical Factor Effects
(Video 07:24) 08-10. Analytical Interactions
(Video 03:16) 08-11. L8 Experiments (1)
(Video 03:22) 08-12. L8 Experiments (2)
(Video 03:57) 08-13. L8 Experiments (3)
(Video 03:11) 08-14. L27 Experiments (1)
(Video 00:43) 08-15. L27 Experiments (2)
(Video 06:25) 08-16. L27 Experiments (3)
(Video 01:11) 08-17. L27 Experiments (4)
(Video 00:42) 08-18. L18 Experiments (1)
(Video 00:27) 08-19. L18 Experiments (2)
Lecture 9. Orthogonal Arrays: How to Construct?
(PDF 1.1 MB) Lecture Notes: Lecture09.pdf
(Video 00:42) 09-01. Introduction
(Video 03:22) 09-02. Equivalence of OAs: Symbols of Levels
(Video 03:52) 09-03. Equivalence of OAs: Order of Levels in a Column
(Video 04:21) 09-04. Equivalence of OAs: Order of Rows
(Video 02:51) 09-05. Equivalence of OAs: Order of Columns
(Video 04:44) 09-06. Full-Factorial OAs: Traditional Method
(Video 07:08) 09-07. Full-Factorial OAs: More General Method
(Video 08:27) 09-08. Full-Factorial OAs: More Systematic Method
(Video 06:56) 09-09. Full-Factorial 2-Level OAs: L8
(Video 02:11) 09-10. Full-Factorial 2-Level OAs: L16
(Video 01:49) 09-11. Full-Factorial 2-Level OAs: L32
(Video 06:10) 09-12. Full-Factorial 3-Level OAs: L9
(Video 05:34) 09-13. Full-Factorial 3-Level OAs: L27
(Video 05:32) 09-14. Mix-Level OAs: Difference Matrix
(Video 04:32) 09-15. Mix-Level OAs: L18 (1)
Lecture 10. More Ideal Functions and SN Ratios
(PDF 2.3 MB) Lecture Notes: Lecture10.pdf
(Video 06:22) 10-01. Introduction
(Video 09:11) 10-02. Operating Window (1)
(Video 03:39) 10-03. Operating Window (2)
(Video 02:11) 10-04. Operating Window (3)
(Video 10:59) 10-05. Reference-Point Proportional Cases (1)
(Video 00:56) 10-06. Reference-Point Proportional Cases (2)
(Video 04:49) 10-07. Calibration of Measuring Devices
(Video 05:49) 10-08. Double Signals
(Video 03:00) 10-09. Nonlinear Cases
(Video 06:31) 10-10. Free Functions
Lecture 11. Normal Distributions
(PDF 2.1 MB) Lecture Notes: Lecture11.pdf
(Video 01:13) 11-01. Introduction
(Video 15:51) 11-02. Purposes of ANOVA
(Video 06:26) 11-03. How to Describe Sample Data? (1)
(Video 02:20) 11-04. How to Describe Sample Data? (2)
(Video 08:19) 11-05. Probability Density
(Video 01:56) 11-06. Probability Density Functions
(Video 14:32) 11-07. Average and Standard Deviation
(Video 08:05) 11-08. Normal Distribution
(Video 04:26) 11-09. Normal Distribution: Defect Rate
(Video 08:53) 11-10. Standard Normal Distribution
(Video 08:08) 11-11. Student’s t-Distribution
(Video 03:24) 11-12. Student’s t-Distribution: Defect Rate (1)
(Video 03:19) 11-13. Student’s t-Distribution: Defect Rate (2)
Lecture 12. Confidence Intervals and Comparison of Averages
(PDF 2.2 MB) Lecture Notes: Lecture12.pdf
(Video 03:08) 12-01. Introduction
(Video 13:32) 12-02. Confidence Interval (1)
(Video 05:30) 12-03. Confidence Interval (2)
(Video 04:15) 12-04. Confidence Interval (3)
(Video 10:27) 12-05. Accuracy of an Average
(Video 06:47) 12-06. Central Limit Theorem (1)
(Video 03:56) 12-07. Central Limit Theorem (2)
(Video 14:44) 12-08. Example: Sample Size of Polls
(Video 15:42) 12-09. Hypothesis Tests
Lecture 13. F-Test and Decomposition of Data
(PDF 1.8 MB) Lecture Notes: Lecture13.pdf
(Video 00:35) 13-01. Introduction
(Video 10:38) 13-02. Test of Two Variances: Travel Expenses
(Video 12:30) 13-03. Pooling of Errors: Travel Expenses
(Video 06:24) 13-04. Test of Two Variances: Two Routes
(Video 05:36) 13-05. F-Distribution
(Video 09:50) 13-06. How to Generate an F-Distribution Curve?
(Video 13:28) 13-07. Significance Test a Factor
(Video 06:28) 13-08. Decomposition of Data
(Video 03:11) 13-09. Decomposition of Data: No Control Factors
(Video 07:06) 13-10. Decomposition of Data: One Factor (1)
(Video 04:54) 13-11. Decomposition of Data: One Factor (2)
(Video 01:33) 13-12. Decomposition of Data: Multiple Factors (1)
(Video 08:21) 13-13. Decomposition of Data: Multiple Factors (2)
Lecture 14. Analysis of Variance (1)
(PDF 1.6 MB) Lecture Notes: Lecture14.pdf
(Video 00:27) 14-01. Introduction
(Video 05:31) 14-02. Decomposition of Data (Review)
(Video 03:07) 14-03. Formula for SS and DOF: Total Variations
(Video 07:20) 14-04. Formula for SS and DOF: Factor Effects (1)
(Video 02:43) 14-05. Formula for SS and DOF: Factor Effects (2)
(Video 05:13) 14-06. Formula for SS and DOF: Factor Effects (3)
(Video 02:51) 14-07. Formula for SS and DOF: Error (1)
(Video 01:28) 14-08. Formula for SS and DOF: Error (2)
(Video 02:46) 14-09. Formula for SS and DOF: Summary
(Video 01:57) 14-10. Analysis of Variance Table (1)
(Video 04:36) 14-11. Analysis of Variance Table (2)
(Video 06:43) 14-12. Calculation of Variances
Lecture 15. Analysis of Variance (2)
(PDF 1.5 MB) Lecture Notes: Lecture15.pdf
(Video 00:38) 15-01. Introduction
(Video 06:26) 15-02. Pooling of Errors
(Video 06:31) 15-03. Analysis of Variance: SN Ratios (1)
(Video 03:06) 15-04. Analysis of Variance: SN Ratios (2)
(Video 01:25) 15-05. Analysis of Variance: Formula for SN Ratios
(Video 02:16) 15-06. Analysis of Variance: Brake Design (SN Ratios
(Video 02:12) 15-07. Analysis of Variance: Brake Design (Beta)
(Video 07:37) 15-08. Confidence Intervals: Response Values (1)
(Video 02:10) 15-09. Confidence Intervals: Response Values (2)
(Video 05:58) 15-10. Confidence Intervals: Predicted Values
(Video 03:17) 15-11. Confidence Intervals: Experiment Values