Advanced Topics in Quality Engineering(IND 523)
|Course Code||Course Name||Semester||Theory||Practice||Lab||Credit||ECTS|
|IND 523||Advanced Topics in Quality Engineering||1||3||0||0||3||6|
|Language of Instruction||English|
|Course Level||Masters Degree|
|Course Instructor(s)||Mehtap DURSUN firstname.lastname@example.org (Email)|
|Objective||The aim of this course is to provide students with a basic understanding of the approaches, systems and techniques to assess and improve product/service quality in a manufacturing/service organization. The principles and techniques of experimental design and Six Sigma methodology and their practical implementation issues in product and service realization are introduced. Quality Systems and Management in both the manufacturing and servicing environment with strong emphasis on development of quality management systems and application of Total Quality Management (TQM) concepts to enhance organizational competitiveness are discussed.|
1. week : Product and service quality dimensions
2. week : Modern Quality Management development and background
3. week : Basic statistics and probabilities for quality and reliability
4. week : Statistical Process Control, Control Charts for Variables
5. week : Introduction to experimental design
6. week : Experiments with a single factor: the analsis of variance
7. week : Introduction to factorial designs
8. week : Blocking and confounding in the 2k factorial design
9. week : Mid term
10. week : Response surface models
11. week : Quality function deployment, voice of the customer
12. week : Six Sigma and DMAIC methodology
13. week : Case studies
14. week : Case studies
|Course Learning Outcomes||
Upon successful completion of this course, students should be able to:
1. Define the various dimensions of quality in product and service realization.
2. Outline the evolution and principles of modern quality management theories and practices.
3. Describe the framework and associated issues of implementing TQM systems in the organizations.
4. Understand quality and reliability concept.
6. Design a simple sampling plan, construct its OC curve and evaluate its effectiveness for a given process.
7. Acquire some basics of the experimental design and its application.
|Teaching and Learning Methods||Lecture, discussion, case study.|
• Montgomery, D.C., Design and Analysis of Experiments, Sixth Edition, John Wiley & Sons, 2005.
• Besterfield D.H. et al, Total Quality Management, Prentice-Hall, Englewood, USA, 2003.
• Gryna F.M., Chua C.H., DeFeo J.A., Juran’s Quality Planning and Analysis, 5th edition, McGraw-Hill, 2007.
|1||Product and service quality dimensions|
|2||Modern Quality Management development and background|
|3||Basic statistics and probabilities for quality and reliability|
|4||Statistical Process Control, Control Charts for Variables|
|5||Introduction to experimental design|
|6||Experiments with a single factor: the analsis of variance|
|7||Introduction to factorial designs|
|8||Blocking and confounding in the 2k factorial design|
|10||Response surface models|
|11||Quality function deployment, voice of the customer|
|12||Six Sigma and DMAIC methodology|
Contribution to Overall Grade
|Contribution of in-term studies to overall grade||1||60|
|Contribution of final exam to overall grade||1||40|
|Midterm Examinations (including preparation)||1||30|
|Term Paper/ Project||0||0|
|No||Program Learning Outcomes||Contribution|
|Working Hours out of Class||13||5||65|
|Midterm Examinations (including preparation)||1||15||15|
|Final Examinations (including preparation)||1||20||20|
|Term Paper/ Project||0||0||0|
|Total Workload / 25||6,48|