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