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 the important questions that are asked in the various assignments of Six Sigma. So learners who pursue or want to pursue 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 focuses 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 the MBA Degree. Six Sigma is also studied by Statistics students in post-graduate degrees. Six Sigma is studied by graduate or postgraduate students in 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.

Books For Reading: Six Sigma

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 Tests
• 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

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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 certifications 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 a chance of mistyping.