Overview
This course is co-organised with SITMTech.
You may be keen to view the other co-organised course,
Data-Driven Energy Efficiency Management here
This is a specialized course that introduces participants to plant simulation and data mining in the operation of a smart factory in the context of Industry 4.0.
Plant Simulation is a computer application for modeling, simulating, analyzing, visualizing and optimizing production systems and processes, the flow of materials and logistic operations. Data mining is a technique used to extract useful information from large datasets. A good understanding of data mining techniques and the ability to use them effectively are increasingly important for today’s data-intensive manufacturing operations.
This 2-day course allows participants to have hands-on experience in developing a simulation model of a Learning Factory, and apply data mining in process optimisation, product quality improvement and correlation analysis for major factor identification. Participants will have unique opportunity to experience both Learning Factory & Model Factory at SIT & SIMTech respectively.
The course will be conducted mainly through workshops and laboratory sessions. There will also be two assessments conducted at the end of each day as part of continuous assessment. Participants will receive 2 certificates from both institutions upon completion.
What You’ll Learn
Introduction
- Introduction to the plant simulation and its application to the smart factory.
Material flow and logistics simulation in manufacturing
- General principles of discrete event simulation
- Procedure of simulation
Building simulation models using CIROS & MES4
- Executing simulation runs
- Result analysis and result interpretation
Data pre-processing and K-means clustering
- Data collection and data pre-processing
- Anomaly detection and data noise filtering
Correlation analysis and regression modeling
- Correlation analysis for major factor identification
- Regression modeling
Data Mining using SIMProg
Who Should Attend
• Director, Operations
• Head, Quality
• Head, Industry 4.0
• Plant or Factory Manager
• Production Engineer
• Manufacturing Engineer
• Quality Engineer
• Other professionals working in the planning and execution of processes which lead to the production of goods and services, and who are keen to learn about and implement Industry 4.0 in their work.
SITizens Learning Credits (SLC) - Eligible Course
This course is SITizens Learning Credits (SLC) eligible. Please refer to the
user guide how to register for courses utilising your SLC.
Find out more about
SITizens Learning Credits (SLC).
Prerequisites
Bachelor degree in Science or Engineering from a recognised university.
Certificate and Assessment
A Certificate of Participation will be issued to participants who:
- Attend at least 75% of the course
- Undertake non-credit bearing assessment during the course
Schedule
| 6 Jan 2022 |
Welcome and Registration
Plant simulation and the building simulation models using CIROS & MES4 |
| 7 Jan 2022 |
Data mining with SIMProg, pre-processing and K-means clustering
Correlation analysis and regression modeling |
Fees
| Category |
Full Fee |
After SF Funding |
Singapore Citizen (Below 40) /
Singapore PR |
$2,140.00 |
$642.00 |
| Singapore Citizen (40 & above) |
$2,140.00 |
$242.00 |
| Non-Singaporeans |
$2,140.00 |
Not Eligible |
Note:
- All figures include GST. GST applies to individuals and Singapore-registered companies.
- You can opt for either SkillsFuture Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.
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Learn more about funding types available
Terms & Conditions:
SkillsFuture Funding
To be eligible for the 70% training grant awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen or Singapore Permanent Resident
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SkillsFuture Mid-Career Enhanced Subsidy
To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen
- Be at least 40 years old
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.
SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.
