ASEAN Support Program for GX/DX Human Resource Development

Course Title :
Low-Cost OEE Visualization for Productivity Improvement
Partner Organisation :
Mitsubishi Electric Factory Automation (Thailand) Co., Ltd.
Silpakorn University
Date :
Batch 1 : 02/07/25 - 05/08/25
Batch 2 : 30/07/25 - 29/08/25
Batch 3 : 24/11/25 - 09/01/26
Period :
8 days (48 hours) in total
Language :
Thai
Venue :
EEC Automation Park, Burapha University (Google Map)
Training fee :
39,185 THB/person (19,592.50 THB will be subsidised)
*The main content of the course was developed by the institution, and Ameicc was not involved in the development of this course.
Unlock the power of smart manufacturing with our hands-on training program designed for the real world. This course equips you with practical skills using Arduino, Raspberry Pi, and Node-RED, combined with real factory case studies and on-the-job training. Learn how to implement low-cost, scalable digital solutions, visualize and analyze OEE data, and drive improvements in productivity, energy efficiency, and sustainability.
Module 1: Understanding OEE and Basic Arduino
Day 1 – Learn the fundamentals of Smart Manufacturing Kaizen Level (SMKL) and OEE concepts to identify production losses.
Day 2 – Get hands-on with Arduino programming and connect industrial sensors for real-time data collection.
Module 2: Raspberry Pi for Industrial Automation
Day 3 – Set up Raspberry Pi, build data flows with Node-RED, and store data using MySQL.
Day 4 – Install and test the system in a real factory during your first on-site training (OJT 1).
Module 3: OEE Calculation and Data Visualization
Day 5 – Extract production data from MySQL and calculate OEE using real machine inputs.
Day 6 – Create live dashboards to visualize performance and losses in real time.
Module 4: Low-Cost OEE factory application
Day 7 – Apply your OEE system in a second factory and refine it through real use (OJT 2).
Day 8 – Present your project, showcasing productivity gains, energy savings, and CO₂ reduction.
Who Should Join?
More information about this Training Program! Click here
Further Information & Support
E-Mail: automationpark@eng.buu.ac.th