Introduction
Maximised the machine overall effectiveness is a goal for resource owners. Currently, their machines are often not fully utilized even with 24x7 operations. They cannot figure out how much is the shortfall, where and how it is happening. With data coming from machines in real-time in an Industry 4.0 environment, it could measure how machines are actually utilized. Overall Equipment Effectiveness (OEE) is a key machine performance metric to identify hidden capacities and improve manufacturing productivity. The three key OEE factors include availability, performance, and quality. By analysing its OEE losses including machine breakdown, machine slow-down, and scrap parts, a manufacturing company can optimise the OEE of their existing equipment.
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.
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 Singapore (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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