Instructor: Jia Yuan Yu.
Lectures: Tuesdays and Thursdays, 18:30--21:00, room H 920.
Office hours: Tuesdays, 15:45--17:45 in room EV7.635, or by appointment.
Course description: The course covers the mathematical modeling and optimal decison-making aspects of supply chains, as well as practical aspects through assignments and projects. The course has a sequel: Supply Chain Management.
Course material: lecture notes with pointers to book sections for additional reading, topics presented on the blackboard in class.
References:
Option 1: a literature survey on one of the topics in the course syllabus not covered in class. The survey should be complete, including motivation, classical and recent solution approaches, their comparison, open problems, etc.
Option 2: an application of supply chain methods to solve a new problem (e.g., using dataset found on the Internet, from open-data initiatives, government agencies, etc.). Here, you will motivate the problem, model it, propose a solution approach, and analyse this solution.
Whether you choose option 1 or 2, you will have to produce a concise report (neither too short nor too long), and give a presentation on it.
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