NPTEL Six Sigma MCQs with Answers

Six Sigma multiple-choice questions are based on the NPTEL Six Sigma course which is offered by the IIT Kharagpur, Prof. Jitesh J Thakkar. Here we include all important questions that are asked in the various assignments of the Six Sigma. So learners who pursue or want to pursue the Six Sigma can practice the already asked Six Sigma MCQ with answers in a very interactive quiz format within the time limit.

The Six Sigma course focus on detailed strategic and operational issues of process improvement and variation reduction called Six Sigma. It is used as a measure of quality that strives for near perfection. Six Sigma (6σ) is actually a set of specific tools and techniques that are used by the top management for process improvement in an industry or company.

Six Sigma is the most important subject of management and is compulsory studied in the Total Quality Management and Operation management course of MBA Degree. Six Sigma is also studied by Statistics students in post-graduate degrees. Six Sigma is studied by graduate or postgraduate students in the Mechanical Engineering, MBA, and Industrial Engineering degree courses. It is totally a mathematical statistic and is used in the Manufacturing and Service Industry.

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NPTEL Six Sigma Course Layout

The NPTEL Six Sigma course is designed with a practical orientation and includes cases, industry examples, and software applications. The course is very helpful for industry professionals and University students this is the main reason every year thousands of fresh new learners enrolled in this course. The content of Six Sigma is beneficial and fully applicable to both the manufacturing and service industries.

The Six Sigma course offered by NPTEL is a 12-week certificate course in which students have to submit 12 assignments per week that contain MCQs on Six Sigma topics studied by the student every week.

Week 1: QUALITY: FUNDAMENTALS AND KEY CONCEPTS

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

Week 2:  QUALITY: FUNDAMENTALS AND KEY CONCEPTS

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)

Week 3: DEFINE

Lecture 14: Six Sigma Project Identification, Selection, and Definition
Lecture 15: Project Charter and Monitoring
Lecture 16: Process characteristics and analysis
Lecture 17: Process Mapping: SIPOC

Week 4: MEASURE

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

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Week 5: MEASURE

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

Week 6:  ANALYZE

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

Week 7:   ANALYZE

Lecture 34: One-Way ANOVA
Lecture 35: Two-Way ANOVA
Lecture 36: Multi-vari Analysis
Lecture 37: Failure Mode Effect Analysis (FMEA)

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Week 8:  IMPROVE

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

Week 9:  IMPROVE

Lecture 43: Fractional Factorial Design
Lecture 44: Fractional Factorial Design: Minitab Application
Lecture 45: Taguchi Method: Key Concepts
Lecture 46: Taguchi Method: Illustrative Application

Week 10:  CONTROL

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

Week 11:  CONTROL

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

Week 12: SIX SIGMA IMPLEMENTATION CHALLENGES

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: A case study
Lecture 63: Six Sigma: Summary of key concepts

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Benefits of Six Sigma MCQ with Answers

There are various national and international organizations that offer various types of Six Sigma certification like the Six Sigma White Belt, Yellow Belt, Green Belt, Black Belt Master Black Belt, etc.

You will have 60 second to answer each question.

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After doing the NPTEL Six Sigma course you can easily get these belts and our free online Six Sigma MCQ with answers mock test will be very helpful to get this certificate.

Disclaimer: All NPTEL Six Sigma MCQs questions and answers are prepared carefully but we do not guarantee 100% accuracy so please check the answers yourself also because there is the chance of mistyping.