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Management
NOC:Quality Control and Improvement with MINITAB (Video)
Syllabus
Co-ordinated by :
IIT Bombay
Available from :
2020-11-18
Lec :
1
Modules / Lectures
Intro Video
Week 1
Lecture 01: Introduction of Quality
Lecture 02: Voice of the Customer and Kano Model
Lecture 03: Quality Function Deployment
Lecture 04: Critical to Quality Characteristics
Lecture 05: Data Visualization for Quality Control and Improvement
Week 2
Lecture 06: Importance of Pareto Chart and Cause and Effect Diagram
Lecture 07: Design Failure Mode and Effect Analysis
Lecture 08: Introduction to Statistical Process Control
Lecture 09: X-bar and R Chart
Lecture 10: X-bar and S Chart
Week 3
Lecture 11: Individual Moving Range Chart and Attribute Chart
Lecture 12: Attribute Control Charts and Process Capability
Lecture 13: Process Capability Index
Lecture 14: Process Performance and Sigma Level
Lecture 15: Process Capability for Attribute data
Week 4
Lecture 16: Basic Statistics & Confidence Interval
Lecture 17: Hypothesis Testing
Lecture 18: One-sample t Test
Lecture 19: Two-sample t Test
Lecture 20: Paired t Test and ANOVA
Week 5
Lecture 21: One-way ANOVA
Lecture 22: One-way ANOVA (Continued)
Lecture 23: ANCOVA and Nonparametric Test
Lecture 24: Linear Regression
Lecture 25: Linear Regression(Continued) and Multiple Regression
Week 6
Lecture 26: Best Subset Regression , Multicollinearity
Lecture 27: Multicollinearity, Best Subset Regression, Multiple Regression, Basics on Design of Experiment
Lecture 28: Design of Experiment, One-factor-at-a-time experiment
Lecture 29: Two-factor asymmetric Design, Symmetric Factorial Design, Two-way ANOVA
Lecture 30: Two-factor symmetric Design, Robust setting, Two-way ANOVA
Week 7
Lecture 31: Measurement System Analysis
Lecture 32: Measurement System Analysis (Contd.)
Lecture 33: Measurement System Analysis (Contd.), Introduction to Factorial Experiments
Lecture 34: Factorial Experiments
Lecture 35: Factorial Experiments (Contd.)
Week 8
Lecture 36: Factorial Experiments (Contd.)
Lecture 37: Blocking in Factorial Design
Lecture 38: Multiple response Optimization & RSM
Lecture 39: Fractional Factorial Design
Lecture 40: Taguchi Method
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Sl.No
Chapter Name
English
1
Lecture 01: Introduction of Quality
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2
Lecture 02: Voice of the Customer and Kano Model
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3
Lecture 03: Quality Function Deployment
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4
Lecture 04: Critical to Quality Characteristics
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5
Lecture 05: Data Visualization for Quality Control and Improvement
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6
Lecture 06: Importance of Pareto Chart and Cause and Effect Diagram
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7
Lecture 07: Design Failure Mode and Effect Analysis
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8
Lecture 08: Introduction to Statistical Process Control
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9
Lecture 09: X-bar and R Chart
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10
Lecture 10: X-bar and S Chart
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