ELECTRICAL AND ELECTRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ISM5212 | Quality Management | Spring Fall |
3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | Turkish |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. AHMET BEŞKESE |
Course Lecturer(s): |
Assoc. Prof. AHMET BEŞKESE |
Recommended Optional Program Components: | N.A. |
Course Objectives: | The aim of the course is to provide the fundamentals of quality management including statistical quality control. The course covers 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; I. Discuss quality, quality improvement and different dimensions of quality. II. Describe the quality management philosophies of Deming, Juran, Feigenbaum and Crosby. III. Discuss TQM, six-sigma, ISO standards and quality awards. IV. Explain the steps of DMAIC. V. Recognize the chance and assignable causes of variability in a process. VI. Use the basic process improvement tools of statistical process control. VII. Evaluate confidence intervals for one sample and for comparing two samples. VIII. Construct different types of control charts for variables. IX. Analyze process capability using control charts. X. Construct different types of control charts for attributes. |
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) | Introduction to Quality: basic definitions and historical development of quality and quality improvement | |
2) | Relation between quality and productivity, quality costs, quality management philosophies | |
3) | Management Aspects of Quality: TQM, ISO, Six-sigma | |
4) | Management Aspects of Quality: DFSS, Lean, DMAIC process | |
5) | Tools and Techniques for Quality Control and Improvement | |
6) | Statistical Inference about Product and Process Quality | |
7) | Statistical Inference about Product and Process Quality | |
8) | Midterm | |
9) | Control Charts for Variables: Xbar-R, Xbar-S, I-MR control charts | |
10) | Control Charts for Variables: CUSUM, EWMA control charts | |
11) | Process Capability Analysis using Control Charts | |
12) | Control Charts for Attributes: p, np control charts | |
13) | Control Charts for Attributes: c, u control charts | |
14) | Project presentations |
Course Notes / Textbooks: | Douglas C. Montgomery, Cheryl L. Jennings, Michele E. Pfund, 2011. Managing, Controlling, and Improving Quality, John Wiley & Sons, 1st Edition |
References: | Douglas C. Montgomery, 2009. Statistical Quality Control: A Modern Introduction, John Wiley & Sons, 6th Edition |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 4 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 2 | 28 |
Presentations / Seminar | 1 | 10 | 10 |
Project | 1 | 40 | 40 |
Homework Assignments | 4 | 10 | 40 |
Midterms | 1 | 15 | 15 |
Final | 1 | 20 | 20 |
Total Workload | 195 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) | |
4) | Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Awareness of professional and ethical responsibility. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |