Manufacturing Execution System
Research Field
Prof. Dr. Chin-Yin Huang
Chin-Yin Huang is Dean of Engineering College and Professor of Industrial Engineering and Enterprise Information at Tunghai University, Taiwan. He held a degree of doctor of philosophy from Purdue University, USA. He is Fellow of International Foundation for Production Research (IFPR). His research interests include Healthcare Management, Medical Data Analysis, Intelligent Manufacturing Systems, Manufacturing Process Optimization, and Industry 4.0/5.0.
Prior to be the Fellow of IFPR, Prof. Huang was the Vice President of IFPR and Chairman of IFPR in Asia Pacific Region. Prof. Huang is currently Board Member of Asia Pacific Industrial Engineering and Management Society (APIEMS). He is former Dean of General Affairs, Tunghai University and former Department Chair of Industrial Engineering and Enterprise Information. Prof. Huang has been serving as professional consultants and advisors in government, universities, hospitals, and manufacturing sectors.
His publications list can be found in https://scholar.google.com/citations?user=r0RG8TgAAAAJ. Recently he has co-edited two books: Systems Collaboration and Integration, and Intelligent and Transformative Production in Pandemic Times.
The Manufacturing Execution System (MES) lab include the facilities and technologies of
(1) Industrial Robots (Fanuc Robot, Hiwin Robots)
(2) Various IoT devices
(3) Cloud computing
(4) Machine vision system
(5) Various Mechatronics Automation Systems
(6) High performance computers
(7) Various AI-related facilities
Theory of Ontological Manufacturing
Intelligent Manufacturing System
Industry 4.0/5.0
Medical Data Analytics
Fellow of International Foundation for Production Research
Expert, Taiwan Association of Machinery Industry
Expert, Precision Machinery Research & Development Center
Senior Reviewer, National Science and Technology Council
- Ph.D. from Purdue University, USA
- MSIE from Purdue University, USA
- BSIE from Tunghai University, Taiwan
2 Vacancies
Job Description
The intern position intend to provide an opportunity to co-work with the student's advisor.
Preferred Intern Education Level
Students in the graduate school pursing for master or doctor degrees.
Skill sets or Qualities
- Knowledge for industrial engineering or automation-related
- Programming skills, Python is preferred but not limited