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Home * Courses * Modular Programmes * RealTimeOEE

This programme is offered under the Advanced Manufacturing Series.

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. 

This programme is part of the training portfolio offered under the Manufacturing Control Tower™ (MCT™) Programme. Click here to vist SIMTech's MCT™ website.

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.

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The programme is suitable for those who are currently employed or wish to be employed in the manufacturing related fields.

The programme consists of 12 learning units in 2 stages.

Instructional Units (Learning Units) are sequenced-based on the levels of understanding of the fundamentals and skills. It means that ascending order of Learning Units to complete the programme should not be changed since each Learning Unit is the pre-requisite for the next Learning Unit.

Integration of Stages

Real industrial case will be conducted through Stage 2 after fundamental knowledge learning through Stage 1. The basic concept of OEE fundamental techniques learned from the Stage 1 will be applied to Stage 2 through on-site project with company’s real machines. Participants will gain and master the knowledge and skills pertaining to OEE by applying OEE technologies in a holistic / integrated manner.

Dr Zhou Junhong is a Principal Research Engineer with SIMTech and also the OEE Initiative Lead for SIMTech’s MPTC center. She received her PhD in mechanical and aerospace from the Nanyang Technological University, Singapore. She has over 20 years of research and industrial experience in factory automation, operation excellence, artificial intelligence, equipment condition monitoring, and intelligent condition-based maintenance.

Mr Huang Huat Hing is a Consultant with SIMTech’s MPTC center, He has over 20 years of research and industrial experience in factory automation, operation excellence. He is also the course conductor for productivity improvement.

Ms Wang Yu is a Senior Engineer with SIMTech. She has more than 5 years’ expert knowledge in software programming. She will teach about OEE monitoring system implementation.

Mr Chua Yong Quan is an Engineer with SIMTech with more than 5 years’ industrial experience in machine connectivity, PLC and Human machine interface programming. His training expertise are on areas of machine connectivity and OEE data collection.


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  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Proficiency in written and spoken English

    Module Names

    Full Course Fee (before SkillsFuture Funding and GST)

    Type of Sponsorship
    Programme in Real-time OEE for Industry 4.0

      Funding Schemes for this Programme:

      Please note that fees and funding amount are subject to change.

      For more information on the SkillsFuture funding you are eligible for, please visit


      For an immersive learning experience, the training venue is at Model Factory@SIMTech.

      Singapore Institute of Manufacturing Technology
      6 Fusionopolis Way, Synthesis, #01-06,
      Singapore 138636

      Synthesis building is located behind Innovis Building at Fusionopolis Two.

      How to Reach SIMTech@Fusionopolis Two
      Visitor Parking at Fusionopolis Two

      The A*STAR Model Factory initative allows companies to experience advanced manufacturing technologies firsthand in a learning environment, as well as collaborate with stakeholders to test-bed and jointly develop innovation solutions. The initiative will also be key to upgrading our manufacturing our manufacturing workforce’s skills so that they are compatible with the latest Industrie 4.0 technologies. Model Factory@SIMTech aims to achieve these objectives through its key feature - the pilot-scale production line.

      This programme is associated with the below SIMTech centre. Click on the image to visit its website.

      SIMTech Manufacturing Control Tower™ (MCT™) aims to provide an accurate overview of the manufacturing domains of shopfloor, enterprise and supply chain of a business by receiving, consolidating and analysing the right information in real-time to effect well-informed decision-making in a Sense and Response manufacturing environment.

      MCT™ is a suite of solutions built on SIMTech’s research capabilities to assist companies in keeping at the forefront of technology through the integration of information and decision-making across the manufacturing value chain.

      Visit SIMTech MCT™ website by clicking here.


      Programme in Real-time OEE for Industry 4.0

      Module Names

      Skills Course Reference Number

      Schedule Dates


      Real-time OEE for Industry 4.0


      30 Sep 2019 - 18 Nov 2019

      Click here to visit the programme webpage.

      Click here to view/download the programme collaterals.
      Click on the schedule dates to view the module calendars.

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      Only attendees will receive the email link to access the photo album from GC2019.


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      No course/programme has been scheduled to commence.


      No course/programme has been scheduled to commence.

      No course/programme has been scheduled to commence.

      No course/programme has been scheduled to commence.