Lecture 62 of 63Week 12
Lecture 62 : Six Sigma: Case study
Prof. Jitesh J Thakkar · IIT Kharagpur
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- Six Sigma, IIT Kharagpur (at NPTEL)
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All the lectures
- 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 : Factorial Design: Minitab Application
- 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 : Design of Acceptance Sampling Plans for Attributes (Part 1)
- Lecture 56 : Design of Acceptance Sampling Plans for Attributes (Part 2)
- Lecture 57 : Design of 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