Course Name Code Semester T+U Hours Credit ECTS
Advanced Manufacturing Systems ENM 220 4 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi AYTEN YILMAZ YALÇINER
Course Lecturers Dr.Öğr.Üyesi NEVRA AKBİLEK, Dr.Öğr.Üyesi BERRİN DENİZHAN, Dr.Öğr.Üyesi AYTEN YILMAZ YALÇINER,
Course Assistants
Course Category
Course Objective

To introduce advanced manufacturing systems and their application cases

Course Content

Introduction to manufacturing systems, product design, computer aided process planning, group technology, industrial robotics, material transport systems, agile, robust and virtual manufacturing

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Cognize manufacturing systems, and their applications at present and future. Lecture, Question-Answer, Discussion, Case Study, Testing, Homework,
2 Cognize differencess of manufacturing systems. Lecture, Question-Answer, Discussion, Case Study, Testing, Homework,
3 Cognize differences between advanced and classical manufacturing systems Lecture, Question-Answer, Discussion, Case Study, Testing, Homework,
4 Analyze and cognize machinery which are used in manufacturing systems. Lecture, Question-Answer, Discussion, Testing, Homework, Performance Task,
5 Cognize computer aided design and its software. Lecture, Question-Answer, Discussion, Testing, Homework,
6 Cognize computer aided engineering and manufacturing process. Lecture, Question-Answer, Discussion, Testing, Homework,
7 Cognize computer aided process planning procedure. Lecture, Question-Answer, Discussion, Testing, Homework,
8 Cognize just in time and kanban mechanism and compare with other manufacturing systems. Lecture, Question-Answer, Discussion, Testing, Homework,
9 Cognize basics of flexible manufacturing systems and compare with other manufacturing systems. Lecture, Question-Answer, Discussion, Testing, Homework,
10 Cognize group technology, classification and coding and apply on a problem. Lecture, Question-Answer, Discussion, Demonstration, Case Study, Testing, Homework,
11 Knows how robotics use in manufacturing systems. Lecture, Question-Answer, Discussion, Demonstration, Case Study, Testing, Homework,
12 Cognize lean, agile and responsive manufacturing stsems. Lecture, Question-Answer, Discussion, Case Study, Testing, Homework,
13
Week Course Topics Preliminary Preparation
1 Historical development of manufacturing systems
2 Historical development of manufacturing systems
3 Computer Integrated Manufacturing -Factory of Future-Smart Factories
4 Components of CIM: CAD, CAM, CAE, CAPP, CAQ
5 Components of CIM: CAD, CAM, CAE, CAPP , CAQ
6 Modern Manufacturing Systems- JIT and Techniques-Lean Manufacturing,
7 Modern Manufacturing Systems- JIT and Techniques-Lean Manufacturing, .
8 Flexible Manufacturing Systems-Group Technology- Cellular Manufacturing
9 Midterm
10 Advanced Manufacturing Machines and Tools- Job Shop/Process Monitoring and Control Systems
11 Automated Material Handling and Storage Systems
12 Industrial Robotics and Artificial Intelligence for Manufaturing-
13 Digital Transformations-Industry 4.0-Intelligent Manufacturing systems and Case Studies
14 Digital Transformations-Industry 4.0-Intelligent Manufacturing systems and Case Studies
Resources
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. X
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.
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. X
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.
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 X
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 X
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. X
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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 2 2
Quiz 2 6 12
Assignment 1 30 30
Performance Task (Laboratory) 1 10 10
Total Workload 118
Total Workload / 25 (Hours) 4.72
dersAKTSKredisi 5