MF4002 Quality and Reliability Engineering Syllabus:
MF4002 Quality and Reliability Engineering Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
- To make the students construct the various quality control charts for variables and attributes
- To study the various sampling plans
- To make the students design for reliability
- To learn different methods of improving reliability
- To learn the basics of maintainability.
UNIT I QUALITY & STATISTICAL PROCESS CONTROL
Quality – Definition – Quality Assurance – Variation in process – Factors – process capability – control charts – variables X, R and X, – Attributes P, C and U-Chart tolerance design. Establishing and interpreting control charts – charts for variables – 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, AOQL, Concepts – standard sampling plans for AQL and LTPD – use of standard sampling plans.
UNIT III EXPERIMENTAL DESIGN AND TAGUCHI METHOD
Fundamentals – factorial experiments – random design, Latin square design – Taguchi method – Loss function – experiments – S/N ratio and performance measure – Orthogonal array.
UNIT IV CONCEPT OF RELIABILITY
Definition – reliability vs quality, reliability function – MTBF, MTTR, availability, bathtub curve – time dependent failure models – distributions – normal, Weibull, lognormal – Reliability of system and models – serial, parallel and combined configuration – Markov analysis, load sharing systems, standby systems, covariant models, static models, dynamic models.
UNIT V DESIGN FOR RELIABILITY AND MAINTAINABILITY
Reliability design process, system effectiveness, economic analysis and life cycle cost, reliability allocation, design methods, parts and material selection, derating, stress-strength and analysis, failure analysis, identification determination of causes, assessments of effects, computation of criticality index, corrective action, system safety – analysis of down-time – the repair time distribution, stochastic point processes system repair time, reliability under preventive maintenance state dependent system with repair. MTTR – mean system down time, repair vs replacement, replacement models, proactive, preventive, predictive maintenance maintainability and availability, optimization techniques for system reliability with redundancy heuristic methods applied to optimal system reliability.
OUTCOMES:
At the end of this course the students are exposed to the various quality control techniques , to understand the importance and concept of reliability and maintainability in industries.
(1) Apply control chart techniques in production process
(2) Understand inspection by sampling techniques
(3) Able to do reliable design
(4) Improve the availability of equipment through proper maintenance
(5) Know how to improve the reliability
REFERENCES:
1. Amata Mitra “Fundamentals of Quality Control and improvement” Pearson Education, 2002.
2. Bester field D.H., “Quality Control” Prentice Hall, 1993.
3. Charles E Ebling, An Introduction to Reliability and Maintainability Engineering, Tata-McGraw Hill, 2000.
4. David J Smith, Reliability, Maintainability and Risk: Practical Methods for Engineers, Butterworth 2002.
5. Dhillon, Engineering Maintainability – How to design for reliability and easy maintenance, PHI, 2008.
6. Patrick D To’ corner, Practical Reliability Engineering, John-Wiley and Sons Inc, 2002