Connectivity for Visibility and Decision Making in Smart Factories* (24 Hours)

*This is a non-WSQ module.
Banner_Connectivity for Visibility and Decision Making in Smart Factories
 

Introduction

In the era of Industry 4.0, brownfield sensorisation and connectivity is a process to obtain data of existing equipment in order to enable smart capabilities in the manufacturing shop floor. Approaches include extracting data from the Programmable Logic Controllers (PLCs) of equipment as well as the installation of sensors to provide relevant data.

About the Programme

During this three and a half-day intensive course, lectures and hands-on practical demonstrations are conducted in an immersive training environment at the Model Factory@SIMTech and A*STAR Industrial Internet-of-Things Innovation (I³).

Participants will learn about the types and functions of sensors, how they work, their capabilities, sensors for various application use cases, short and long-range wireless technologies, the latest types of industrial automation protocols and controllers, and data analytics for decision making.

Participants will get hands-on experience in setting up sensor nodes and gateways for data acquisition, setting up wireless communication networks, obtaining data from sensors, extracting data from machine PLCs, and conducting analysis of data to extract features for decision-making.

Who Should Attend

This course is relevant to manufacturing companies that are interested to analyze data from sensors and machine PLCs to get visibility of the shop floor status, insights of machine health conditions, waste generation and energy consumption status to take pre-emptive action to preempt machine breakdowns, reduce or minimize waste, avoid poor production quality issues and excessive energy usage.

The manufacturing sectors that are targeted includes precision engineering, electronics, aerospace, MedTech, general manufacturing and pharmaceutical.

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, where fundamental knowledge and principles taught will be reinforced with hands-on practices.

Key focus areas or applications:

  • Sensorisation for data acquisition
  • Industrial wireless communication
  • Industrial automation protocols
  • PLC communication protocols and controllers
  • Data analytics for decision making
  • Use cases for sensorisation

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 $2,400 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 years and above
(MCES) ²		 SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$2,616 $784.80 $304.80 $304.80
All fees are inclusive of GST 9%.
Please note that fees and funding amounts are subject to change.
Long Term Visit Pass Plus (LTVP+) Holders

The Long Term Visit Pass Plus (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.
¹ Enhanced Training Support For Small & Medium Enterprise Scheme (ETSS)

The ¹Enhanced Training Support for Small & Medium Enterprises scheme (ETSS) supports company-sponsored participants with up to 90% course fee subsidies.  To qualify, both the employers and trainees must meet the following eligibility criteria.

  • Eligible Small & Medium Enterprises (SMEs) must meet all of the following conditions:
    • Registered or incorporated in Singapore
    • Employment size of not more than 200 employees, or annual sales turnover of not more than $100 million

  • SME-sponsored trainees must meet all of the following:
    • Singapore Citizen or Singapore Permanent Resident
    • Course fees are fully paid for by the employer
    • Trainee is not a full-time national serviceman
Further Information:
This scheme is intended for all organisations, including non-business entities not registered with ACRA, for example, Voluntary Welfare Organisations (VWOs), societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under the Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.
² SkillsFuture Mid-Career Enhanced Subsidy (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

Eligible Singapore Citizens can receive higher subsidies of up to 90% of course fees.
SkillsFuture Credit (SFC)

All Singapore Citizens aged 25 years old and above are eligible for SkillsFuture Credit (Opening Credit), which can be used to offset course fees (for self-sponsored registrations only).
SkillsFuture Credit (Mid-Career)

The SkillsFuture Credit (Mid-Career) is only applicable for the full A*STAR SkillsFuture Career Transition Programme (SCTP) enrolments, and cannot be used for standalone or individual module sign-ups.

How Course Fees are Calculated

TYPE 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)
 FUNDING SOURCE
Not applicable for Funding Support  SkillsFuture Funding (Baseline)  SkillsFuture Mid-career Enhanced Subsidy (MCES) ²  SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee $2,400 $2,400  $2,400 $2,400
Funding Support Not Applicable  ($1,680) ($2,160) ($2,160)
Nett Course Fee $2,400 $720 $240 $240
GST 9% $216  $64.80*  $64.80*  $64.80*
Total Nett Course Fee Payable to Training Provider $2,616  $784.80  $304.80 $304.80
* Based on 30% of Full Course Fee

About the Trainers

Dr Ian Chan
Dr Van Tung Tran
Dr Ian Chan
Dr Ian Chan
Principal Scientist
A*STAR SIMTech

Dr Ian Chan is a Principal Scientist with SIMTech’s Cyber-Physical Production System Group. His research interests include sensing, data pre-processing, machine learning, and data analytics for fault detection, fault diagnosis and failure prediction to enable condition monitoring and predictive maintenance. He has a PhD from the Department of Aeronautics & Astronautics, Stanford University.

Dr Van Tung Tran
Dr Van Tung Tran
Senior Scientist
A*STAR SIMTech

Dr Van Tung Tran is a Senior Scientist with SIMTech who has been working on data driven-based predictive maintenance. His research interests include sensing, IoT, signal and image processing, feature engineering, machine learning and deep learning, and time series techniques for condition monitoring and predictive maintenance of manufacturing systems.

Registration

Sign up now

  • 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

Download brochure

Sensing and Connectivity for Visibility and Decision Making in Smart Factories

Contact Us

Technical Enquiries General Enquiries

Dr Ian CHAN,
Email: chan_hian_leng_ian@a-star.edu.sg

Ms Connie NG,
Email: connie_ng@a-star.edu.sg

Schedule

Module
 Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		 Registration Status
  • Connectivity for Visibility and Decision Making in Smart Factories (24 hours)
 TGS-2021009746 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 SWDA-approved/SWDA-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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