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SYE6303 - Multiscale Decision Making for Industrial Enterprise

Offering Academic Unit
Department of Systems Engineering
Credit Units
3
Course Duration
One Semester
Course Offering Term*:
Not offering in current academic year

* The offering term is subject to change without prior notice
 
Course Aims

This course is designed to provide students with a deep understanding of optimization techniques and their applications in industrial processes, with a special emphasis on the semiconductor industry. Students will explore various optimization methods across different scales, from individual processes to enterprise-wide systems, including process design, production planning, scheduling, optimal process control, and supply chain management. The course will also cover how to address uncertainties in production and supply chains, as well as strategies for flexible operations in response to volatile energy markets. Through a series of semiconductor industry case studies, students will gain practical insights into applying these techniques in real-world scenarios. This course is suitable for both management and semiconductor students, equipping them with the skills needed for effective decision-making in dynamic industrial environments.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
 
Detailed Course Information

SYE6303.pdf

Useful Links

Department of Systems Engineering