JNTUK B.Tech Quality and Reliability Engineering gives you detail information of Quality and Reliability Engineering R13 syllabus It will be help full to understand you complete curriculum of the year.
Course objectives
- The aim of this course is to provide students with a basic understanding of the approaches and techniques to assess and improve process and/or product quality and reliability.
- The objectives are to introduce the principles and techniques of Statistical Quality Control and their practical uses in product and/or process design and monitoring.
- To understand techniques of modern reliability engineering tools.
UNIT-I : Quality value and engineering – quality systems – quality engineering in product design and production process – system design – parameter design – tolerance design, quality costs – quality improvement.
UNIT-II : Statistical process control X , R, p, c charts, other types of control charts, process capability, process capability analysis, process capability index. (SQC tables can be used in the examination).
UNIT-III : Acceptance sampling by variables and attributes, design of sampling plans, single, double, sequential and continuous sampling plans, design of various sampling plans.
UNIT-IV : Loss function, tolerance design – N type, L type, S type; determination of tolerance for these types. online quality control – variable characteristics, attribute characteristics, parameter design. Quality function deployment – house of quality, QFD matrix, total quality management concepts. quality information systems, quality circles, introduction to ISO 9000 standards.
UNIT-V : Reliability – Evaluation of design by tests – Hazard Models, Linear, Releigh, Weibull. Failure Data Analysis, reliability prediction based on weibull distribution, Reliability improvement.
UNIT-VI : Complex system, reliability, reliability of series, parallel & standby systems & complex systems & reliability prediction and system effectiveness. Maintainability, availability, economics of reliability engineering, replacement of items, maintenance costing and budgeting, reliability testing.
TEXT BOOKS
- G Taguchi, ‘Quality Engineering in Production Systems – Mc Graw Hill.
- E. Bala Guruswamy, ‘Reliability Engineering’, Tata McGraw Hill.
- Montgomery “Statistical Quality Control : A Modern Introduction” Wiley.
REFERENCE BOOKS
- Frank.M.Gryna Jr. “Jurans Quality planning & Analysis”, McGraw Hill.
- Philipposs, ‘Taguchi Techniques for Quality Engineering’, Mc Graw Hill.
- LS Srinath, ‘Reliability Engineering’, Affiliated East West Pvt. Ltd..
- Eugene Grant, Richard Leavenworth “Statistical Process Control”, McGraw Hill.
- W.A. Taylor, ‘Optimization & Variation Reduction in Quality’, Tata Mc Graw Hill.
- Quality and Performance Excellence: James R Evans, Cengage learning.
Course outcome
Upon successful completion of this course, students should be able to:
- Understand quality and reliability concept, beware of some basic techniques for quality improvement, and acquire fundamental knowledge of statistics and probability.
- Apply control charts to analyze and improve the process quality.
- Design a simple sampling plan, construct its OC curve and evaluate its effectiveness on a given sampling process.
- Acquire the concepts of the reliability, and calculate the system reliability based on the given component connection; calculate the reliability based on the given failure model.
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