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 KARAHÜSEYİN 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. |
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 | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 1 | 30 |
| 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 | 14 | 2 | 28 |
| Presentation | 1 | 20 | 20 |
| Midterm Examinations (including preparation) | 1 | 15 | 15 |
| Project | 1 | 35 | 35 |
| Final Examinations (including preparation) | 1 | 20 | 20 |
| Total Workload | 160 | ||
| Total Workload / 25 | 6.40 | ||
| Credits ECTS | 6 | ||