ECTS - Quality Control and Assurance

Quality Control and Assurance (IE326) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Quality Control and Assurance IE326 6. Semester 3 0 0 3 6
Pre-requisite Course(s)
IE202
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving, Team/Group, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Danışment Vural
Course Assistants
Course Objectives The course aims to introduce the student the concepts of quality and the importance of quality in manufacturing and service industries, together with the contemporary methods and procedures used to attain quality.
Course Learning Outcomes The students who succeeded in this course;
  • Will acquire knowledge sufficient to use statistical quality control techniques.
  • Will be able to demonstrate the role of management and human factors in designing, planning, and improving quality
  • Will be able to use different quality planning and control tools to solve industrial and manufacturing problems.
  • Will be able to apply the total quality management and ISO standards.
  • Will be able to apply Six Sigma quality improvement program to real life problems.
  • Will be able to design experiments related to quality problems, collect data or use secondary data, analyze the data, and interpret and report the findings
Course Content Fundamentals of quality management, total quality management, quality improvement techniques, cost of quality, statistical process control techniques, product acceptance, acceptance sampling plans.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Quality Management [Course Book] pp. 3-45
2 The DMAIC Process [Course Book] pp. 45-59
3 Statistical Methods in Quality Control and Improvement [Course Book] pp. 61-103
4 Methods and Philosophy of Statistical Process Control [Course Book] pp. 179-226
5 Control Charts for Variables [Course Book] pp. 226-288
6 Control Charts for Attributes [Course Book] pp. 288-340
7 Midterm Exam
8 Process Capability Analysis [Course Book] pp. 344-399
9 Process Capability Analysis [Course Book] pp. 344-399
10 Process Improvement with Designed Experiments [Course Book] pp. 549-629
11 Process Improvement with Designed Experiments [Course Book] pp. 549-629
12 Acceptance Sampling Plans [Course Book] pp. 629-690
13 Total Quality Management Standards Used in Engineering Practices Kolarik, 1999
14 Contemporary Issues and Challenges Quality Philosophies (Prizes and awards , Excellence Models) Evans & Lindsay, 2009
15 Final Examination Period
16 Final Exam

Sources

Course Book 1. Montgomery, D.C., Introduction to Statistical Quality Control, 6th Edition, John Wiley and Sons Co., 2008.
Other Sources 3. Kolarik, J.W., Creating Quality, Process Design for Results, Mc Graw- Hill, 1999.
4. Evans J.R& Lindsay W.M, The Management and Control of Quality, 3rd edition, West Publishing Company.
5. Sutherland J.W. et.al, Statistical Quality Design and Control, MacMillan Publishing Co, 1992.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Gains adequate knowledge in mathematics, science, and relevant engineering disciplines and acquires the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. X
2 Gains the ability to identify, formulate, and solve complex engineering problems and the ability to select and apply appropriate analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements and to apply modern design methods for this purpose.
4 Gains the ability to select and use modern techniques and tools necessary for the analysis and solution of complex engineering problems encountered in industrial engineering applications and the ability to use information technologies effectively. X
5 Gains the ability to design experiments, conduct experiments, collect data, analyze results, and interpret findings for investigating complex engineering problems or discipline specific research questions. X
6 Gains the ability to work effectively in intra-disciplinary and multi-disciplinary teams and the ability to work individually. X
7 Gains the ability to communicate effectively in written and oral form, acquires proficiency in at least one foreign language, the ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. X
8 Gains awareness of the need for lifelong learning and the ability to access information, follow developments in science and technology, and to continue to educate him/herself. X
9 Gains knowledge about behaviour in accordance with ethical principles, professional and ethical responsibility and standards used in industrial engineering applications X
10 Gains knowledge about business practices such as project management, risk management, and change management and develops awareness of entrepreneurship, innovation, and sustainable development. X
11 Gains knowledge about the global and social effects of industrial engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. X
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. X
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project 1 14 14
Report
Homework Assignments 2 4 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 6 6
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 150