Overview
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
SIT Alumni: Before registering for courses, please activate your
SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.
CLICK HERE TO APPLY (only for SIT Alumni)
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
| 29 Oct 2020 |
Welcome and Registration
Plant simulation and the building simulation models using CIROS & MES4 |
| 2 Nov 2020 |
Data mining with SIMProg, pre-processing and K-means clustering
Correlation analysis and regression modeling |
Fees
| Category |
Full Fee |
After SF Funding |
After SF Mid-Career
Enhanced Subsidy |
Singapore Citizen (Below 40) /
Singapore PR |
$2,140.00 |
$642.00 |
Not Eligible |
| Singapore Citizen (40 & above) |
$2,140.00 |
$642.00 |
$242.00 |
| Non-Singaporeans |
$2,140.00 |
Not Eligible |
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.
»
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.
-Python-Scripting-in-Dynamo-for-Revit_225x180.jpg)
-in-Electrical-Engineering-252x180.jpg)
