ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
LOG3711 | Logistics Operations Management | Spring | 3 | 0 | 3 | 5 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. YAVUZ GÜNALAY |
Course Lecturer(s): |
Dr. Öğr. Üyesi LEVENT AKSOY |
Recommended Optional Program Components: | none |
Course Objectives: | Students are exposed to different processes seen in logistics operations, and their importance both at the strategic and operational levels. Differences as well as similarities among manufacturing and service operations are discussed. Basic management tools used at the operational level of logistics institutions are presented. Moreover, students are asked to prepare a team project on one of the course topics of their choice. |
The students who have succeeded in this course; I. Be familiar with the basic Operations Management terminology, and describe the similarities and differences of goods and service operations II. Define Mission-Strategy relationship and describe operations/production strategies. III. Define logistics operations. IV. Identify different location and distribution models and compare them. V. Identify logistics and supply chain networks VI. Define supply chain and why bullwhip effect occurs. VII. Define capacity and aware of different capacity management models. VIII. Be familiar of benefits and risks of inventory and inventory management techniques. IX. Define waste and lean production. X. Describe quality and different quality management tools. |
Description of Operations Management and Operations Strategy. Discussion of basic topics in logistics operations, such as design of supply networks, location and layout, capacity management, inventory management, lean management, and quality. |
Week | Subject | Related Preparation |
1) | What is operations? Importance of Operation Management. | |
2) | Mission-Goal-Strategy. Operations strategy. | Pre-reading |
3) | Performance of operations. | Pre-reading |
4) | Design of services and goods. | pre-reading |
5) | Process design. | Pre-reading |
6) | Decision of location and layout | Pre-reading |
7) | Supply chain management. | Pre-reading |
8) | Capacity management. | Pre-reading |
9) | Review | |
10) | Inventory management. | Pre-reading |
11) | Planning, scheduling and ERP | pre-reading |
12) | Lean management. | Pre-reading |
13) | Quality management. | Pre-reading |
14) | Operations improvement and review |
Course Notes / Textbooks: | Russell and Taylor, Operations Management,: Creating Value along the Supply Chain, 7th Ed., Wiley, 2011. (ISBN:9780470646236) |
References: | Stevenson W. L., Operations Management, 9th Ed., McGraw Hill, 2007. Heizer, J, and B. Render, Operations Management, 10h Ed., Pearson Education, 2011. (ISBN:0-13-607366-2) |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 10 | % 10 |
Quizzes | 7 | % 10 |
Project | 1 | % 25 |
Midterms | 1 | % 25 |
Final | 1 | % 30 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 45 | |
PERCENTAGE OF FINAL WORK | % 55 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Study Hours Out of Class | 14 | 64 |
Presentations / Seminar | 4 | 12 |
Midterms | 1 | 2 |
Final | 1 | 2 |
Total Workload | 122 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |