Master of Science in Industrial Engineering

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
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Elective
Course Level Masters Degree
Course Instructor(s) Mehtap DURSUN mdursun@gsu.edu.tr (Email)
Assistant
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.
Content 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.
References • 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.
Print the course contents
Theory Topics
Week Weekly Contents
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
9 Mid term
10 Response surface models
11 Quality function deployment, voice of the customer
12 Six Sigma and DMAIC methodology
13 Case studies
14 Case studies
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 1 60
Contribution of final exam to overall grade 1 40
Toplam 2 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 1 30
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
10 X
11 X
12 X
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 13 5 65
Assignments 0 0 0
Presentation 1 20 20
Midterm Examinations (including preparation) 1 15 15
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 20 20
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 162
Total Workload / 25 6,48
Credits ECTS 6
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