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

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

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

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

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 courses fee upon failure to meet either one of the criteria.

Pre-Requisites, Full and Nett Course Fees

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+ HoldersEmployer-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 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
Note:

How course fees are calculated

TYPECATEGORY OF INDIVIDUALS
International ParticipantsSingapore 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 SkillsFuture Funding 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
SkillsFuture FundingNot 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

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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

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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.

Contact Us

  • For technical enquiries, please contact:

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

  • For general enquiries, please contact:

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

Registration

Sign up now
  • Please register for this course through our 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.
  • Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.

Schedule

Module
Skills Course Reference NumberNext Intake(s)'s Training Period
(Click on the dates to view its schedules)		Registration Status
  • Connectivity for Visibility and Decision Making in Smart Factories (24 hours)
TGS-2021009746The 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.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

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