REAL-TIME OEE FOR INDUSTRY 4.0* (40 HOURS)

Introduction
Maximising overall machine effectiveness is a key objective for resource owners. Despite operating 24/7, many machines remain underutilised, making it challenging for owners to identify the extent of this shortfall and the specific areas where it occurs.
In an Industry 4.0 environment, real-time data from machines can offer valuable insights into actual machine utilisation. Overall Equipment Effectiveness (OEE) is a crucial performance metric that helps reveal hidden capacity and enhance manufacturing productivity. OEE is measured based on three key factors:
availability, performance, and quality. By analysing OEE losses—such as machine breakdowns, slowdowns, and scrap parts—manufacturers can optimise the performance of their existing equipment and improve overall productivity.
About the Real-time OEE Programme
This programme aims at providing participants with practical and systematic training in applying real-time OEE to achieve high machine productivity. It is designed specifically to meet local industry needs. The course is highly practical and intensive, and will be taught by expert trainers in the field with industrial experience. It provides up-to-date technology and latest knowledge on OEE. Case studies highlight the industrial applications will also be shared with the participants during the training sessions. Seventy per-cent (70%) of the course is conducted by on-site mentoring.
Who Should Attend
The programme is suitable for those who are currently employed or wish to be employed in the manufacturing related fields. A typical candidate profile could be:
- Operation Managers
- Production Engineers
- Quality Control Managers/Engineers
- Production Supervisors/Operators
Contact Us
- For technical enquiries, please contact:
Ms Su Myat Phyoe,
Email: su_myat_phyoe@SIMTech.a-star.edu.sg
- For general enquiries, please contact:
Knowledge Transfer Office,
Email: KTO-enquiry@SIMTech.a-star.edu.sg
Registration
- Please register for this course through our Course Registration Form for Public Classes.
- For the first question, please select "Modular Programmes".
- Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
- Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.
Collateral
Schedule
Module | Skills Course Reference Number | Next Intake(s)'s Training Period
(Click on the dates to view its schedules) | Registration Status |
| TGS-2020502680 | The next intake's schedule is still in the planning stage. |
Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.
Announcement:
- From 1 Oct 2023, attendance-taking for SkillsFuture òòò½Íø(SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.




- View the full list of modular programmes offered by SIMTech and ARTC.
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