NOC:Six Sigma


Lecture 1 - Brief overview of the course


Lecture 2 - Quality concepts and definition


Lecture 3 - History of continuous improvement


Lecture 4 - Six Sigma Principles and Focus Areas - Part 1


Lecture 5 - Six Sigma Principles and Focus Areas - Part 2


Lecture 6 - Six Sigma Applications


Lecture 7 - Quality Management: Basics and Key Concepts


Lecture 8 - Fundamentals of Total Quality Management


Lecture 9 - Cost of quality


Lecture 10 - Voice of customer


Lecture 11 - Quality Function Deployment (QFD)


Lecture 12 - Management and Planning Tools - Part 1


Lecture 13 - Management and Planning Tools - Part 2


Lecture 14 - Six Sigma Project Identification, Selection and Definition


Lecture 15 - Process characteristics and Monitoring


Lecture 16 - Process characteristics and analysis


Lecture 17 - Process Mapping: SIPOC


Lecture 18 - Data Collection and Summarization - Part 1


Lecture 19 - Data Collection and Summarization - Part 2


Lecture 20 - Measurement systems: Fundamentals


Lecture 21 - Measurement systems analysis: Gage R&R study


Lecture 22 - Fundamentals of statistics


Lecture 23 - Probability theory


Lecture 24 - Process capability analysis: Key Concepts


Lecture 25 - Process capability analysis: Measures and Indices


Lecture 26 - Process capability analysis: Minitab Application


Lecture 27 - Non-normal process capability analysis


Lecture 28 - Hypothesis testing: Fundamentals


Lecture 29 - Hypothesis Testing: Single Population Test


Lecture 30 - Hypothesis Testing: Two Population Test


Lecture 31 - Hypothesis Testing: Two Population: Minitab Application


Lecture 32 - Correlation and Regression Analysis


Lecture 33 - Regression Analysis: Model Validation


Lecture 34 - One-Way ANOVA


Lecture 35 - Two-Way ANOVA


Lecture 36 - Multi-vari Analysis


Lecture 37 - Failure Mode Effect Analysis (FMEA)


Lecture 38 - Introduction to Design of Experiment


Lecture 39 - Randomized Block Design


Lecture 40 - Randomized Block Design: Minitab Application


Lecture 41 - Factorial Design


Lecture 42 - Factorial Design: Minitab Application


Lecture 43 - Fractional Factorial Design


Lecture 44 - Fractional Factorial Design: Minitab Application


Lecture 45 - Taguchi Method: Key Concepts


Lecture 46 - Taguchi Method: Illustrative Application


Lecture 47 - Seven QC Tools


Lecture 48 - Statistical Process Control: Key Concepts


Lecture 49 - Statistical Process Control: Control Charts for Variables


Lecture 50 - Operating Characteristic (OC) Curve for Variable Control charts


Lecture 51 - Statistical Process Control: Control Charts for Attributes


Lecture 52 - Operating Characteristic (OC) Curve for Attribute Control charts


Lecture 53 - Statistical Process Control: Minitab Application


Lecture 54 - Acceptance Sampling: Key Concepts


Lecture 55 - Acceptance Sampling Plans for Attributes: Key Concepts


Lecture 56 - Design of Acceptance Sampling Plans for Attributes


Lecture 57 - Acceptance Sampling Plans for Variables


Lecture 58 - Acceptance Sampling: Minitab Application


Lecture 59 - Design for Six Sigma (DFSS): DMADV, DMADOV


Lecture 60 - Design for Six Sigma (DFSS): DFX


Lecture 61 - Team Management


Lecture 62 - Six Sigma: Case study


Lecture 63 - Six Sigma: Summary of key concepts