Real-Time OEE For Industry 4.0* (40 Hours)

*This is a non-WSQ module.
Realtime OEE
 

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

Course Outline

The programme consists of 12 learning units in 2 stages.

STAGE 1: OEE Fundamentals Learning
(Learning Units 1 to 4)
  •  Introduction to OEE Concept and Applications with Model Factory Demonstration
  •  Introduction to OEE Fundamentals
  •  OEE Metrics Computation using OEE Software
  •  Technology for Quality, Availability and Performance Improvement
STAGE 2: Apply OEE Methodology for Productivity Improvement
(Learning Units 5 to 12)
  • Identify Critical Machine
  • OEE Data Collection for Brownfield and Greenfield
  • Industry 4.0 Machine Connectivity and Communication
  • Compute Baseline OEE Metrics
  • Analysis Root Cause of OEE Losses
  • What-if Analysis
  • Identify Improvement Areas
  • Generate Initiatives and Work Out Performance Improvement Plan
  • Project Conclusion & Presentation

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.

Upon Completion Of This Course

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Note: Trainees will have to bear the full course fee upon failure to meet either one of the criteria.

Pre-Requisites

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this course is $5,000 before funding and prevailing GST.

Nett Course Fee

International
Participants		 Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 yrs and above (MCES) ² SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders (ETSS) ¹
$5,450 $1,635 $635 $635
All fees are inclusive of GST 9%.
Please note that fees and funding amount are subject to change.

Long Term Visit Pass Plus (LTVP+) Holders

  • The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.
  •  All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

Enhanced Training Support For Small & Medium Enterprise (SMES) Scheme (ETSS)

SMEs that meet all of the following eligibility criteria:

  • Registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

  • Must be Singapore Citizens or Singapore Permanent Residents.
  • Courses have to be fully paid for by the employer.
  • Trainee is not a full-time national serviceman. 

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

SkillsFuture Credit

For more information on the SkillsFuture funding schemes you are eligible for, please visit www.skillsfuture.gov.sg

How Course Fees are Calculated

  CATEGORY OF INDIVIDUALS 
International Participants Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders  Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above  SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
TYPE  FUNDING SOURCE 
Not applicable for SkillsFuture Funding SkillsFuture Funding (Baseline) SkillsFuture Mid-career Enhanced Subsidy (MCES) ² SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
 Full Course Fee  $5,000 $5,000  $5,000  $5,000 
SkillsFuture Funding Not Applicable   ($3,500) ($4,500) ($4,500)
Nett Course Fee $5,000  $1,500 $500 $500
GST 9%  $450 $135* $135* $135*
Total Nett Course Fee Payable to Training Provider  $5,450  $1,635 $635 $635
* Based on 30% of Full Course Fee

About the Trainer

Mr Sri Manikanda Prasath Selva Raj
Mr Sri Manikanda Prasath Selva Raj
Mr Sri Manikanda Prasath Selva Raj
Senior Research Engineer
A*STAR SIMTech

Mr Sri Manikanda Prasath Selva Raj is a Senior Research Engineer at A*STAR SIMTech, specialising in software development for cyber-physical systems, intelligent automation, data analytics-driven Overall Equipment Effectiveness (OEE) improvement, and systems engineering in smart manufacturing. With more than 10 years of hands-on industry experience in designing high-throughput machines for cycle-time-sensitive industries, he delivers practical, industry-focused OEE training aimed at unlocking hidden capacity and driving productivity gains in Industry 4.0.

Registration

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  • Please register for this course through our online form: Course Registration Form for Public Classes.
  • For the first question, please select "Modular Programmes (Standalone Modules)".
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Collateral

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Realtime OEE for Industry 4

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Schedule

Module
 Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		 Registration Status
  • Real-time OEE for Industry 4.0 (40 hours)
 TGS-2020502680 The schedule for the next intake is still in the planning stage.  

Note: A*STAR SIMTech and A*STAR 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.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

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