THE FOURTH INDUSTRIAL REVOLUTION, commonly known as Industry 4.0, will change the way businesses function especially in the manufacturing industry and increase their competitiveness globally. This course is intended to close the gaps by providing the hands-on opportunities in the design and development of industrial automation system. In this beginner level course, participants would be introduced to sensor technologies, actuators, PLC architecture and programming that served as the basis of an automation system. Then, they have the opportunity to build their own simple automation system integrating and combining what they learned. By grabbing this valuable experience, participants familiarize themselves on the concept and implementation of automation to build confidence in setting the future automation agenda in industry.

  Trainer

Lee Yoon Ket

Ts Dr Lee Yoon Ket is the principal lecturer of the Mechanical Engineering Department in the Faculty of Engineering and Technology, TAR UMT. He completed his PhD at Queen University of Belfast, U.K in 2004. In 2017, Ts Dr Lee has been registered under the Engineering Council U.K. as a member of Institute of Mechanical Engineers with the title of Chartered Engineer. He has registered with Malaysia Board of Technologists in the Manufacturing and Industrial Technology area with the title of Ts. in 2018. Ts Dr Lee possesses 7 years of industrial working experiences and 8 years of academic experiences. His research interests mainly focus on application of Industry 4.0 to SMI, Autonomous system and Manufacturing planning and control. Currently, Ts Dr Lee is leading the Centre of Autonomous and Robotics Research in TAR UMT that focuses on applications of Industry 4.0 in industry. Currently his research center is constructing a RAMI Industry 4.0 ginger manufacturing line testbed which is supported by RMK11 grant. Furthermore, Ts. Dr Lee is holding an industrial research grant project to automate the production loading system in the context of Industry 4.0 for a SMI factory.

Chiew Tsung Heng

Dr Chiew Tsung Heng is the Programme Leader for Mechatronics Engineering programme and senior lecturer in Department of Mechanical Engineering, Faculty of Engineering and Technology, TAR UMT. His research interest is in the motion control system of machine tools, industrial automation and robotic technologies, and Industry 4.0. Dr Chiew received his PhD, MSC in Manufacturing Engineering, and Bachelor in Manufacturing Engineering (Robotics and Automation) from Universiti Teknikal Malaysia Melaka. Dr Chiew has 3 years of teaching experience and is now actively involved in industrial collaboration research and projects. He is the core member of the Centre of Autonomous and Robotics Research in TAR UMT that is heavily involved in the construction of a RAMI Industry 4.0 ginger manufacturing line testbed. Moreover, he also co-supervised the industrial project of automating a production loading system in the context of Industry 4.0 for a SMI factory.

 Chang Kai Ming

Dr Chang Kai Ming Currently a Senior Lecturer in the Department of Mechanical Engineering, Faculty of Engineering and Technology, TAR UMT.  His research interest is in robotics, automation and networking for Industry 4.0. He received his PhD in Electronics and Electrical Engineering, MSc in Bio-nanotechnology and MEng Mechanical Engineering (Mechatronics) from the University of Southampton, UK. Dr Chang has 2 years of teaching experience and is a core member of the Centre of Autonomous and Robotic Research (CASRR) in TAR UC. Additionally, Dr Chang is also a member of the iMechE, IET and IEEE. The current projects which he is involving is automated vehicles and computer vision for remote monitoring and control of manufacturing activities.

 Ong Jia Jan

Dr Ong Jia Jan Currently a Senior Lecturer in the Department of Mechanical Engineering, Faculty of Engineering and Technology, TAR UMT. He completed his PhD in 2016 and MEng (Honours) Mechatronic Engineering in 2009 at University of Nottingham Malaysia. Since 2017, Dr Ong has been registered under the Institute of Engineering and Technology (IET) U.K. as a Member of IET. Dr Ong possesses 4 years of industrial working experience and 2 years of academic experiences. His research interest area is in Industry 4.0, image data compression, encryption, error correction and minimal instruction set computer.

 Programme Details