Course Details
Subject {L-T-P / C} : ME6244 : Quality Engineering and Reliability { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Siba Sankar Mahapatra
Syllabus
Statistics: Statistical Methods: Important statistical distribution and their properties, correlation and regression, multiple regression analysis. Statistical Inference: t-tests, F-tests, Chi-square tests, ANOVA, DOE and RSM, time series analysis. Quality Engineering: Taguchi's quadratic loss function, off line and on-line quality control, importance of parameter design. Experimental design principles for product and process design, two-level experimental for full factorial and fractional factorial design. S/N ratio, inner and outer arrays, experimental design for control and noise factors ANOVA in Engg. design, computer software's in experimental design. Components of TQM, PDCA cycle, TQM implementation. Quality costs, Ishikawa diagram, brain storming QCS, QFD, JIT philosophy and techniques. Characteristics features and clauses of ISO 9000 standards, certification procedures, quality audit procedure, Implementation procedures. Reliability: System effectiveness mission reliability design adequacy, operational readiness serviceability performance indices, their evaluation, uses and limitations. Reliability models of maintained systems, fundamental definitions, relationship between reliability and maintainability single equipment systems parallel stand by K-out-of n-configuration steady state availability. Maintainability predication. Inspection policies bases on profits, downtime and performance degradation, inspection under emergency condition.
Course Objectives
- To gain knowledge on planned way of conducting experiments using statistical design of experiment approach
- To impart knowledge on online and offline quality control
- To familiarize with the concept of TQM and TPM and international standards for assurance of quality
- To design the items for improving reliability
Course Outcomes
Knowledge will be gained on the subject matter. <br />Able to apply the theory to practical problems. <br />Knowledge will be enhanced to implement the concept for product development.
Essential Reading
- D.C. Montgomery, Design and Analysis of Experiments, John Wiley & Sons , Eighth Edition
- M.S.Phadke, Quality Engineering Using Robust Design, Prentice Hall , First Edition
Supplementary Reading
- S S. Singh, Total Quality Control Essentials, McGraw Hill , First Edition
- L.S. Srinath, Reliability Engineering, EWP , First Edition
Journal and Conferences
- Journal: Quality Engineering Taylor and Francis
- Conference: International Conference on Quality Engineering and Management (ICQEM)