Course Name Code Semester T+U Hours Credit ECTS
Continuous Improvement Methods ENM 517 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers Prof.Dr. SEMRA BORAN,
Course Assistants
Course Category
Course Objective To teach continuons improvement and its methods
Course Content Definition continuous improvement, process approach, 7 tools (basic problem solving techniques), new 7 tools, QFD, Pugh concept, FMEA, Poka-yoke, Benchmarking method, TRIZ, BPR.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Teaching continuous improvement and its necessity Lecture, Discussion, Homework,
2 To be able to use continuous improvement methods Drilland Practice, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Continuous improvement, Kaizen, PDCA cycle
2 Process management, process improvement
3 Quality circle
4 7 tools (basic problem solving techniques)
5 New 7 tools
6 Statistical process control, control chart, process capability analysis
7 5S, TPM, Lean Production
8 Six sigma method
9 ISO 9000:2000 Quality Management System
10 EFQM model and self assessment
11 FMEA (Failure Mode and Effects Analysis)
12 QFD-Quality Function Deployment and Pugh concept
13 Benchmarking method
14 TRIZ method
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Kısa Sınav 10
3. Kısa Sınav 0
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 15 15
Quiz 2 5 10
Assignment 1 25 25
Final examination 1 15 15
Total Workload 161
Total Workload / 25 (Hours) 6.44
dersAKTSKredisi 6