QUALITY ENGINEERING

AIM

The aim of the course: 1. Discussion about the concept of quality; 2. Understanding the philosophy of quality, quality assurance, quality control systems, and application of a quality system; Examination of the systematic approach to implement quality in a company and apply ISO 9000 series standards; presenting information to improve the quality of a product, method and human performance; 3. Explaining the efficient use of quality tools and techniques necessary to achieve high quality production (including design); 4. Learning the principles of seven quality management tools and techniques and discussing their results; 5. Providing basic information about the principles of quality strategies and quality improvement methods.

CONTENT

This course contains; Quality philosophies and foundation,Engineering and quality, principles of TQM, development of TQM, Gurus of TQM,Principles of leadership, communication, organization, communication skills, vision, mission, strategy,Quality system and documentation, cost of quality,Data collection, sampling, statistical process control ,Statistical proces control (control charts: X-R, X-S),Statistical process control (np, p, c, u charts),Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams),Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysis,Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis),Quality techniques (house of quality function deployment, design of experiment),Continuous improvement technqiues (TQM, Kaizen),Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle),Project Presentations.

1. 1

   1. Defines the basic concepts of quality and and examine the effect of quality philosophy on engineering practices.

   Taught by: Discussion Method, Problem Solving Method, Question - Answer Technique, Project Based Learning Model, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

2. 2

   2. Makes calculation and summarize/map the obtained data to make inferences for improvement.

   Taught by: Discussion Method, Question - Answer Technique, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

3. 3

   3. Analyzes the appropriate quality tools and techniques for engineering applications and analyzes control charts for the quality monitorigng and improvement.

   Taught by: Discussion Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

4. 4

   4. Utilize knowledge of statistics, acceptance sampling and process control for high quality production in engineering applications.

   Taught by: Discussion Method, Self Study Method, Lecture Method · Assessed by: Traditional Written Exam, Project Task

5. 5

   5. Plan experiments to improve product properties and process performance, conduct research as a team, prepare scientific reports, organize and present the results.

   Taught by: Discussion Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Project Task

WEEKLY PLAN

1. WEEK 1

   Quality philosophies and foundation

   Preparation: Lecture Notes

2. WEEK 2

   Engineering and quality, principles of TQM, development of TQM, Gurus of TQM

   Preparation: Lecture Notes

3. WEEK 3

   Principles of leadership, communication, organization, communication skills, vision, mission, strategy

   Preparation: Lecture Notes

4. WEEK 4

   Quality system and documentation, cost of quality

   Preparation: Lecture Notes

5. WEEK 5

   Data collection, sampling, statistical process control

   Preparation: Lecture Notes

6. WEEK 6

   Statistical proces control (control charts: X-R, X-S)

   Preparation: Lecture Notes

7. WEEK 7

   Statistical process control (np, p, c, u charts)

   Preparation: Lecture Notes

8. WEEK 8

   Designing quality properties, use of quality tools (flow charts, pareto analysis, cause-effect analysis, histogram, scattering diagrams)

   Preparation: Lecture Notes

9. WEEK 9

   Quality management and planning tools (affinity diagram, tree diagram, matrix, relation diagrams, critical assessment analysis

   Preparation: Lecture Notes

10. WEEK 10

    Quality techniques (benchmarketing, brainstorming, target analysis, faillure modes and effect analysis)

    Preparation: Lecture Notes

11. WEEK 11

    Quality techniques (house of quality function deployment, design of experiment)

    Preparation: Lecture Notes

12. WEEK 12

    Continuous improvement technqiues (TQM, Kaizen)

    Preparation: Lecture Notes

13. WEEK 13

    Continuous improvement techniques (Six sigma, DAMIC, SWOT, Deming circle)

    Preparation: Lecture Notes

14. WEEK 14

    Project Presentations

    Preparation: Project Presentations

ASSESSMENT

• Rate of Midterm Exam to Success30%
• Rate of Final Exam to Success70%

WORKLOAD

READING

• D.C.S. Summers, Quality, 2nd Editon, Prentice Hall Inc, 2000, ISBN 0-13-099924-5. D.C. Montgomery, Introduction to Statistical Quality Control, 7th Edition, John Wiley&Sons Singapore Pte. Ltd., 2013, ISBN 978-1-118-32257-4 M. Zahiri Total Quality Management for Engineers Woodhead Publishing, 1991, ISBN 9781855730243 G. P. Kanji, M. Asher 100 Method for Total Quality Management SAGE Publications Ltd., 1996, ISBN 0803977476 Crosby PB. Quality is free. McGraw-Hill, NewYork, 1979, ISBN 978-0070145122

TEACHING STAFF

• Assoc.Prof. Melis Almula KARADAYICOORDINATOR
• Assoc.Prof. Billur Deniz KARAHAN