Course Name Code Semester T+U Hours Credit ECTS
Quality Improvement Methods ENM 407 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers Prof.Dr. SEMRA BORAN,
Course Assistants
Course Category
Course Objective Define and discuss quality improvement metods
Course Content Variation, quality, continouns improvement, FMEA, QFD, six sigma, statistical process control and control chart, 5S, total productive maintenance (TPM), constraint theory, design of experiment, Taguchi method
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Define variability and explain the links between variation and quality Question-Answer, Homework,
2 Describe quality and quality improvement Discussion, Homework,
3 Interpret statistical methods for quality problem Drilland Practice, Homework,
4 Know how to explain the quality management Drilland Practice, Homework,
5 Know how to improve quality and describe continuous improvement Problem Solving, Homework,
6 Explain failure mode and effects analysis (FMEA) method Drilland Practice, Homework,
7 Explain quality function deployment (QFD) method Drilland Practice, Homework,
8 Describe and interpret six sigma Question-Answer, Homework,
9 Know how to implement six sigma Case Study, Homework,
10 Construct and interpret control chart Lecture, Homework,
11 Know how to implement 5S anad TPM Drilland Practice, Homework,
12 Explain how constraint theory is used as quality improvement tool Question-Answer, Homework,
13 Explain how design of experiment is used as a quality improvement tool Lecture, Homework,
14 Explain how Taguchi method is used in improving design qualty Problem Solving, Homework,
15 Understand how the ANOVA is used to test hypotheses Problem Solving, Homework,
Week Course Topics Preliminary Preparation
1 Describing variation
2 The meaning of quality
3 Statistical inference
4 Quality management
5 Quality improvement and kaizen
6 Failure mode and efffects analysis method
7 Quality function deployment
8 Six sigma
9 5S, total productive maintenance
10 Design of experiment
11 Constraint theory
12 Taguchi method
14 Lean manufacturing
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems.
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods.
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 5 5
Final examination 1 10 10
Total Workload 131
Total Workload / 25 (Hours) 5.24
dersAKTSKredisi 5