This course aims to practice essential technologies and methods needed for designing, analyzing, and optimizing modern manufacturing systems. This course covers the following: Computer-Aided Design, Factory Layout Design & Manufacturing Simulation, Manufacturing Information and Communication Standards (e.g., OPC-UA and AAS), Failure Detection & Prediction Methods. Through lectures, practical labs with commercial software, and real-world case studies, students will gain hands-on experience with smart manufacturing technologies that are widely used in many leading manufacturing companies.

Programming skill

Grade criteria %
Lab#1: CAD (Siemens NX-CAD) 10%
Lab#2: manufacturing simulation (Siemens Plant Simulation) 30%
Term Project: open topics for smart manufacturing systems 50%
Presentation: advanced topics, real-world case studies 10%
Attendance & Participation: 3 absences -> grade change (e.g. A -> B), 6 absences ->fail

Averill M. Law, 2013, Simulation Modeling and Analysis, 5th ed., McGraw-Hill Higher Education

1 9.7 Manufacturing Systems, Cells, Lines, Shops & Factory, Architectures and Standards, Manufacturing Economics
2 14 CAD
3 21 CAD
4 22 CAD
5 10.5 Manufacturing Simulation
6 12 Manufacturing Simulation
7 19 Manufacturing Simulation
8 26 Midterm
9 11.2 Manufacturing Information and Communication Standards (OPC-UA, AAS)
10 9 Functions and Components for Workcell Agents,
Factory Information Management and Communication Protocol
11 16 Process Adjustment Shell, Fault Detection & Prediction
12 23 Device Interface, Data Acquisition and Management,
Programmable Logic Control, Autonomous Control
13 30 Industry Visit
14 12.7 Advanced Planning & Scheduling, Industrial AI
15 14 Digital Twin, Real-World Case Studies
16 21 Term Project Demo

Lab, Presentation, Discussion, Invited Talks