Quality Assurance and Reliability
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Quality Assurance and Reliability Syllabus — Unit-wise Content
The official GTU curriculum for Quality Assurance and Reliability (subject code 3172013) as prescribed for Robotics · Semester 7 divides the course into 6 units, covering 47 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3172013)Unit 1 QUALITY
- Cost of Quality
- Approaches of Quality Management
- Hierarchy of Quality management: Inspection & Test
- Quality Control
- Quality Assurance
- Total Quality Management
- Models of TQM, Elements of TQM, Principles of TQM
Unit 2 Statistical Quality Control SQC tools, Benefits of SQC, Concept of variation, Assignable &
- Chance causes
- Attributes & variables
- Frequency distribution curve & its types
- Normal Distribution curve
- Problems on FD curve & ND curve
- Control chart for variable: Definition
- Formulae & its problems
- Control chart patterns
- Process capability
- Problems on x & R chart and Process capability
- Control chart for attribute: Definition
- Problems on p, c charts
- Need of Sampling
Unit 3 Quality Improvement techniques
- Cause & Effect diagram
- Pareto analysis
- Introduction to Six Sigma and Taguchi concepts
Unit 4 QUALITY MANAGEMENT SYSTEMS
- Quality Assurance (QA): Introduction
- Management principles in QA, Forms of QA, QA in different stages
- Quality planning
- QA program
- QA aspect
- Quality in material management
- Vendor selection & development
- ISO: Introduction
- ISO 9000 series of standard
- ISO 9001 clauses
- Benefits of ISO
- Deming’s approach
- PDCA cycle
- Juran’s approach, JIT, Training for Quality management
Unit 5 RELIABILITY CONCEPTS Elements of probability, Reliability engineering fundamentals,
- Failure data analysis and examples
- Failure rate
- Failure density
- Probability of failure
- Mortality rate
- Mean time to failure
- Hazard Models
- Conditional Probabilities and examples
- Multiplication rule and examples
- Bayes theorem and examples
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