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 3 0 0 3 6
Pre-requisite Course(s)
IE 202
Course Language English
Course Type N/A
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)
  • Dr. Öğr. Üyesi Gözdem DURAL SELÇUK
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;
  • Students will acquire knowledge sufficient to use statistical quality control techniques.
  • Students will be able to demonstrate the role of management and human factors in designing, planning, and improving the quality
  • Students will be able to use different quality planning and control tools to solve industrial and manufacturing problems.
  • Students will be able to apply the total quality management and ISO standards.
  • Students will able to apply Six Sigma quality improvement program to real life problems.
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 [1] pages 3-45
2 Quality Improvement Techniques [1] pages 207-221
3 Quality Improvement Techniques [1] pages 207-221
4 Methods and Philosophy of Statistical Process Control [1] pages 187-213
5 Control Charts for Variables and Attributes, Process Capability Analysis [1] pages 234-339
6 Control Charts for Variables and Attributes, Process Capability Analysis [1] pages 234-339
7 Midterm 1
8 Acceptance Sampling Plans [1] pages 649-704
9 Acceptance Sampling Plans [1] pages 649-704
10 Process Improvement with Designed Experiments [1] pages 563-606
11 Process Improvement with Designed Experiments [1] pages 563-606
12 Total Quality Management [6] pages 5-345
13 ISO 9001-2000 Quality Standards [7] pages 3-205
14 Current Issues and Philosophies (Prizes and awards , Excellence Models) [1] pages 13-45
15 Quality Transformation(Benchmarking, Quality Function Deployment) [2] pages 145-170
16 Project Presentations

Sources

Course Book 1. Montgomery, D.C., Introduction to Statistical Quality Control, 6th Edition, John Wiley and Sons Co., 2008.
Other Sources 2. Gryna, F. M., Chua, R.C. H., and Defeo, J.A., Juran’s Quality Planning and Analysis for Enterprise Quality , 5th Edition, Mc Graw- Hill, 2007.
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.
6. Şale, İ., Toplam Kalite Yönetimi ISO 9001:2000- IS0 14000-OHSAS 18000, Seçkin Yayıncılık, 1. Baskı, 1995.
7. Şale, İ., ISO 9001:2000 Kalite Yönetim Sistemi ve Uygulamaları, Seçkin Yayıncılık, 2. Baskı, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 4 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 7 100
Percentage of Semester Work 60
Percentage of Final Work 40
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 An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems. X
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. X
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. X
6 An ability to work individually, on teams, and/or on multidisciplinary teams. X
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction. X
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology. X
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications. X
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement. X
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions. X
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. X
13 Knowlede on appropriate analytical, computational and experimental methods to provide 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 18 18
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 5 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 150