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INTRODUCTION TO MANUFACTURING 4.0

IND4.0

About This Course

This course is designed to provide learners the fundamentals of process management in manufacturing 4.0 regarding with implementing ind4.0 technology in the manufacturing process. It has brought some huge changes to ind4.0 since it can make better decisions once it explores manufacturing in the organization. This course also shows the actual course content of the introduction to Ind4.0 cyber security system, indu4.0 transformation and digitalization, process planning and modelling, process execution, process monitoring, process improvement, the components focusing on implementing in manufacturing 4.0, and the course content on risk management in process management. The new technologies based on the Internet of Things (IoT) and the concepts of ind4.0 are opening possibilities for manufacturing implementation. Moreover, manufacturing 4.0 is integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and AI and machine learning.

Upon completion of this course, the learner should be able to:

• Understand different technologies that enable intelligent manufacturing: IoT, process

management in manufacturing4.0, and intelligent quality control, and learn the benefits

and challenges of adopting ind4.0 manufacturing.

• Identify the historical perspective from ind1.0 to ind4.0.

• Discuss the process management in Industry 4.0 and how the Internet of Things (IoT),

information, technology, and data influence the process management of Manufacturing

4.0.

• Discuss and assess the technologies and their advantages

• Apply and analyse a selected manufacturing technology and process management

implementation. 

Course Modules:

1. Module 1      Cyber security in Industry 4.0

2. Module 2       Networking Technologies and Sensors

3. Module 3       Artificial Intelligence

4. Module 4       Machine Learning and Big Data Analytics

5. Module 5       Cloud Computing Services and Technologies

6. Module 6       Robotics and Industry 4.0

7. Module 7       Digital Transformation and Business Models

8. Module 8       HCI for Industry 4.0

9. Module 9       Sustainable Product Design & Manufacturing

10. Module 10   Process management in Manufacturing 4.0

Requirements

Web Programming, SQL Programming, and Network Application

Course Staff

University of Heng Samrin TbongKhmum (UHST), Cambodia

Module 10: Mr. Ung Lasokh Mr. KEO Tongheng

Universitas Syiah Kuala (USK), Indonesia

Module 1: Yudha Nurdin, B.Eng., M.Eng. Module 3: Dr. Kahlil Muchtar

National Meanchey University (NMU), Cambodia

Module 2: National Meanchey University

National University of Battambang (NUBB)

Module 4: Dr. Ratha CHEA & Prof. Dr. Sovan LEK

Megat Norulazmi

Module 5 Bio: Megat Norulazmi Megat Mohamed Noor is a Associate Professor at the Malaysian Institute of Information System, Universiti Kuala Lumpur. He graduated in Bachelor of Science in Engineering from University of Kagoshima, Japan (1994) and completed a Master of Information Technology at Open University Malaysia (2007). He was awarded a PhD from Universiti Utara Malaysia on 2012 in Information Technology. His recent research interests are Deep Learning and NLP and Vision, Blockchain, Cloud Computing, and IoT.

Vassilios Vassiliadis

Module 6 & 12 Bio: Vassilios Vassiliadis received a Diploma (MEng equivalent) and a Doctoral Degree from the Department of Computer Engineering and Informatics of the University of Patras, Greece. He currently serves as an Associate Professor at the Department of Management Science and Technology. Since 2005, he has served at the Hellenic Open University as an adjunct lecturer and as an Assistant Professor (non-tenure) in the Department of Computer Engineering and Informatics of the University of Patras. He has an over than 20 years experience in European Union funded projects, as a researcher in the private sector, at the Computer Technology Institute, the University of Patras and the Hellenic Open University. At the latter, he held the position of Fundraising Manager at the DaiSSy Research Group from 2019 to 2022 and he is currently a Senior Researcher. His has published more than 80 articles in international journals and conferences. His research interests focus on information management, Information Systems applications and software evaluation.

Assoc. Prof. Dr. Suraya Miskon

Module 7 Assoc. Prof. Dr. Suraya Miskon has a background in Computer Science majoring Information Systems and obtained her PhD from Queensland University of Technology, Brisbane, Australia. She teaches and conducts research in the field of Information Systems. She earned Oracle Certified Associate Oracle Database 11g Administrator and Professional Technologist from Malaysia Board of Technologists (MBOT). She is member of Association for Information Systems (AIS), AIS Malaysia Chapter and IEEE. She has published over 70 fully refereed articles in internationally recognised journals and conferences, and has contributed several chapters to published books. She also actively involve in research and consultancy in business analytics requirements, ICT strategic planning, business intelligence and dashboard requirements.

Assoc. Prof. Dr. Siti Sophiayati Yuhaniz

Module 7 & 8 Dr. Siti Sophiayati Yuhaniz is an Associate Professor at Razak Faculty of Technology and Informatics (RFTI), Universiti Teknologi Malaysia. She received her PhD from the University of Surrey, United Kingdom in 2008, in the area of Artificial Intelligence. She is active in the research field of Machine Learning, Deep Learning, Pattern Recognition, Image Processing and Big Data Analytics.

Assoc. Prof. Dr. Haliyana Khalid

Module 8 Haliyana Khalid obtained her PhD in Computing, with specialization in Human Computer Interaction from Lancaster University, UK. She is a professional member of Association Computing Machinery (ACM) and myHCI-UX. She holds a professional certificate in Marketing (CPM, Asia). The combination of IS, UX and marketing knowledge, plus her strong passion in social media has led her to actively involve in research and consultancy in digital user experience.

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  1. Course Number

    02
  2. Classes Start

  3. Course Length

    15 weeks
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