INDUSTRIAL ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
INE3013 | Quality Management | Fall | 3 | 0 | 3 | 6 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Must Course |
Course Level: | Bachelor |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. SABRİ TANKUT ATAN |
Course Lecturer(s): |
Dr. Öğr. Üyesi AYŞE KAVUŞTURUCU Assoc. Prof. AHMET BEŞKESE Prof. Dr. CENGİZ KAHRAMAN Prof. Dr. NAFİZ ARICA |
Course Objectives: | The aim of the course is to provide the fundamentals of quality management including statistical quality control. The course covers acceptance sampling, types of sampling plans, causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management(TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered. Applications with statistical software packages are also utilized. |
The students who have succeeded in this course; 1. Define quality and quality management and know the history of quality; 2. Know the quality management systems and their contents 3. Describe the types of variations and know the tools of quality control 4. Know the types of statistical process control tools and classify them. 5. Know the variables and attributes control charts and draw a control chart with the given data. 6. Know advantages and disadvantages of chart types. 7. Describe the types of acceptance sampling plans and know their differences 8. Calculate the consumer and producer risks with a given sampling plan. 9. Draw operating characteristic curve, average outgoing quality curve, average sample number curve, and average total inspection number curve. 10. Know process capability indices and measure how capable a process is. 11. Know six sigma approach, FMEA analysis, QFD analysis 12. Know Taguchi’s loss function and types of design of experiments. |
The course covers acceptance sampling, types of sampling plans, causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered. |
Week | Subject | Related Preparation | |
1) | Double sampling plans, multiple sampling plans, OC curve | Lecture notes | |
1) | Introduction to Quality management, History of quality | Lecture notes | |
2) | Necessary statistical tools and examples, seven tools of QC | Lecture notes | |
3) | Causes of variations, control charts for variables | Lecture notes | |
4) | Control charts for attributes | Lecture notes | |
5) | Applications using MINITAB | Lecture notes | |
6) | Acceptance sampling, types of sampling plans, single sampling | Lecture notes | |
7) | Midterm exam-I | Lecture notes | |
8) | Double sampling plans, multiple sampling plans, OC curve | Lecture notes | |
9) | AOQ, ASN, ATIN curves | Lecture notes | |
10) | Standard sampling tables | Lecture notes | |
11) | Process capability analysis | Lecture notes | |
12) | Midterm exam-II | Lecture notes | |
13) | Six sigma approach, FMEA, Quality Loss function, QFD, Quality management systems | Lecture notes | |
14) | Quality management systems, certification, accreditation | Lecture notes |
Course Notes: | Textbook: Managing, Controlling, and Improving Quality 1st Edition by Douglas C. Montgomery (Author), Cheryl L. Jennings (Author), Michele E. Pfund (Author), Wiley, 2010. |
References: | Introduction to Statistical Quality Control by Douglas C. Montgomery, Wiley, 2008. |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | 2 | % 10 |
Homework Assignments | 1 | % 10 |
Presentation | % 0 | |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 2 | % 40 |
Preliminary Jury | % 0 | |
Final | 1 | % 40 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 2 | 28 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 1 | 5 | 5 |
Quizzes | 2 | 10 | 20 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 2 | 20 | 40 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 20 | 20 |
Total Workload | 155 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | 5 |
2) | Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | 5 |
3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective. | |
4) | Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively. | |
5) | Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering. | 5 |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | 3 |
7) | Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. | |
8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | |
9) | Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. | |
10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
12) | Develop effective and efficient managerial skills. |