Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 349365 Production Management 1 3.0 3 ★ Ping-Chen Chang GIEM 32 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349365	Production Management	1	3.0	3	★	Ping-Chen Chang	GIEM	32	0

Course Plan：

Instructor Ping-Chen Chang　Office Hours

Email pcchang@ntut.edu.tw

Last Updated 2025-05-27 21:32:08

Course Objective This course aims to explore advanced topics in production operations and control systems, further analyze application cases of operations management in the manufacturing industry, and examine how technologies such as AI, IoT, and cloud computing are integrated into production systems—thereby enabling students to gain a more in-depth understanding of operations system management and apply it to their own research topics.

Course Schedule Week 1: Introduction to Operations Management Weeks 2–3: Forecasting Weeks 4–5: Paper Presentation I: Advanced Forecasting Techniques Week 6: Capacity Planning for Products Week 7: Process Selection and Facility Layout Weeks 8–9: Paper Presentation II: Automation in the Modern Factory Week 10: Location Planning and Analysis Weeks 11–12: Quality Management Weeks 13–14: Paper Presentation III: What AI Can Do in Quality Management? Weeks 15–16: JIT and Lean Operations Weeks 17–18: Paper Presentation IV: How Do You Apply Operations Research in Your Research?

Evaluation and grading policy Class Participation 30% Paper Presentation 30% Final Presentation 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Stevenson／Operations and Supply Chain Management (2024 Release)／15e

The access to curricular consultation Students may contact me by Email.
pcchang@ntut.edu.tw

Expanding teaching and resources

The course corresponds to the SDGs SDG12：負責任的消費與生產（Responsible Consumption and Production）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
Students may contact me by Email.
pcchang@ntut.edu.tw

Instructor	Ping-Chen Chang　Office Hours
Email	pcchang@ntut.edu.tw
Last Updated	2025-05-27 21:32:08
Course Objective	This course aims to explore advanced topics in production operations and control systems, further analyze application cases of operations management in the manufacturing industry, and examine how technologies such as AI, IoT, and cloud computing are integrated into production systems—thereby enabling students to gain a more in-depth understanding of operations system management and apply it to their own research topics.
Course Schedule	Week 1: Introduction to Operations Management Weeks 2–3: Forecasting Weeks 4–5: Paper Presentation I: Advanced Forecasting Techniques Week 6: Capacity Planning for Products Week 7: Process Selection and Facility Layout Weeks 8–9: Paper Presentation II: Automation in the Modern Factory Week 10: Location Planning and Analysis Weeks 11–12: Quality Management Weeks 13–14: Paper Presentation III: What AI Can Do in Quality Management? Weeks 15–16: JIT and Lean Operations Weeks 17–18: Paper Presentation IV: How Do You Apply Operations Research in Your Research?
Evaluation and grading policy	Class Participation 30% Paper Presentation 30% Final Presentation 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Stevenson／Operations and Supply Chain Management (2024 Release)／15e
The access to curricular consultation	Students may contact me by Email. pcchang@ntut.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	Students may contact me by Email. pcchang@ntut.edu.tw