PR3013 Quality Control and Reliability Engineering Syllabus:
PR3013 Quality Control and Reliability Engineering Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
• To impart the knowledge of the quality control, control charts and application and construction of various quality control charts and the selection.
• To impart the knowledge sampling plan types, characteristics and design procedure
• To study the significance of design of experiments and its application.
• To train the students in the field of reliability and its estimation.
• To introduce various distributions and its mathematical functions used in failure data analysis
UNIT – I STATISTICAL PROCESS CONTROL
Quality control – Definition – Quality Assurance Variation in process – Factors – control charts – variables XR and Xσ, – Attributes P, C and U-Chart Establishing and interpreting control charts process capability – Quality rating – Short run SPC.
UNIT – II ACCEPTANCE SAMPLING
Lot by lot sampling types – probability of acceptance in single, double, multiple sampling plans – OC curves – Producer’s risk and consumer’s risk. AQL, LTPD, AOQ, AOQL, Concepts Design of sampling plan – single, double, multiple- standard sampling plans for AQL and LTPD – Use of standard sampling plans – Sequential sampling plan.
UNIT – III EXPERIMENTAL DESIGN AND TAGUCHI METHOD
Fundamentals – fractional, factorial experiments – random design, Latin square design – Taguchi method –Quality Loss function – experiments – S/N ratio and performance measure – Orthogonal array.
UNIT – IV RELIABILITY AND ITS PREDICTION
Life testing – Failure characteristics – Meantime to failure – maintainability and availability – reliability – system reliability – OC curves – reliability improvement techniques – Reliability testing techniques – Pareto analysis. MTBF, MTTF, MTTR – System reliability – OC curve Availability and Maintainability – Reliability Improvement techniques.
UNIT – V FAILURE DATA ANALYSIS
Real time distribution, exponential, normal, log normal, gamma and Weibull – reliability data requirements – Graphical evaluation.
TOTAL: 45 PERIODS
COURSE OUTCOMES
Upon successful completion of the course, students should be able to:
CO1: Able to create and interpret different statistical process control charts.
CO2: Capacity to generate and compare various sampling plans.
CO3: Able to apply design of experiments tool.
CO4: Generate reliability testing plans and Evaluate reliability of a component or system.
CO5: Select suitable distribution for reliability data analysis and integrate reliability concepts in new product design and development.
TEXT BOOKS:
1. Modares, “Reliability and Risk Analysis”, Marcel Decker Inc. 4th edition 2014.
2. Besterfield D.H., “Quality Control”, Prentice Hall, 3rd edition 2011.
REFERENCES:
1. Amitava Mitra, “Fundamentals of Quality Control and Improvement”, Pearson Education Asia, Delhi 2002.
2. Manohar Mahajan, “Statistical Quality Control”, Dhanpat Rai and Sons, 2007.
3. Sharma S.C., “Inspection Quality Control and Reliability”, Khanna Publishers, 1998.