INDUSTRIAL ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

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

Basic information

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.

Learning Outputs

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.

Course Content

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.

Weekly Detailed Course Contents

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

Sources

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.

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

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.