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Course
Pro-forma
Bachelor of Engineering (Computer Aided Design & Manufacturing)
Code
KCEP4303
Title
Total Quality Management
Pre-requisite
None
Student Learning Time (SLT)
120 hours
Credit
3
Learning Outcomes
1.
Evaluate the importance and rationale of TQM in
manufacturing.
2.
Apply systematic problem-solving in TQM.
3.
Analyze basic statistical concepts, analytical and graphical
techniques in the analysis of data.
4.
Explain the concept of variation, knowing the relevant
causes, applying various control charts and interpreting
them to ascertain that a process is in control.
5.
Appraise the concepts of acceptance sampling, failure mode
and effect analysis, maintenance and reliability.
Synopsis
This course is offered to make the students aware about the
significance of quality and reliability in manufacturing and design
engineering, and to provide them with the quantitative analyses
and qualitative approaches pertinent to process quality. The
main contents of the course are: importance and scope of
TQM/QM; Evolution-QC, TQC, QA, TQM; fundamentals of
statistics; problem analysis; QM tools & techniques QC7, QM7
and advanced tools/techniques- Control charts for variables and
attributes; acceptance sampling; Continuous improvement
techniques; QM systems and ISO 9000/14000 series;
Benchmarking; failure mode and effect analysis (FMEA); QFD;
maintenance and reliability; TQM benefits, scope and
implementation technique, 7-P Practices; change of
organizational cultural towards quality.
Assessment
40 % Continuous Assessments
60 % Final Examination
References
1.
Introduction to Statistical Quality control, 5th ed, by Douglas
C. Montgomery, John Wiley (2005)
2.
Quality, 3rd edition, by Donna C S Summers, Prentice Hall
(2003)
3.
Total Quality Management, 3rd edition by Dale H. Besterfield
et al, Prentice Hall (2003)
4.
Total Quality Management: A Cross functional perspective,
by Ashok Rao et el. John Wiley.
Soft Skills
Critical Thinking & Problem Solving Skills (CT1, CT2, CT3)