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IMPLEMENT MANUFACTURING DATA MINING TECHNIQUES (42 HOURS)
- This programme is in collaboration with the Sectoral AI Centre of Excellence for Manufacturing (AIMfg).
Introduction
Data mining techniques are increasingly important for data-intensive manufacturing operations as the industry faces a number of challenges such as equipment and material condition variations, trial-and-error in process parameter setting, product quality inconsistencies, low capability of root cause discovery, process performance prediction and process parameters/recipe auto tuning. By applying data mining techniques, a company can improve its product quality and manufacturing productivity.
This WSQ course aims to provide a good understanding of the fundamentals of data analytics and data mining techniques for different manufacturing applications. Participants will learn techniques for advanced clustering methods for product quality management, correlation modelling, and data pattern methods for root cause analyses and neural networks for process performance prediction.
Why This Course
- Designed specifically to meet Singapore’s industry demand
- Highly practical and intensive
- Latest knowledge and up-to-date technology
- Case studies highlighting industrial applications
- Expert trainers in the field with industrial experience
Who Should Attend
This course is designed for operation directors and managers, production/process engineers, R&D engineers and IT support staff working on processes, production and quality improvement in manufacturing industries such as precision engineering, aerospace, automotive electronics, semiconductor, oil and gas, pharmaceutical and MedTech.
What our trainees say
The course was conducted by very experienced and knowledgeable mentors. We used this training for our company's process optimization activity and together with the mentors' guidance, we were able to understand the process correlation. I will apply this knowledge to other processes too.
Ms Ramadoss Kala,
Participant from Aug 2023 intake
Very good experience with the guidance from SIMTech's mentors on learning of data mining process.
Mr Lakshminarayanan Srinivasan,
Participant from Aug 2023 intake
Very useful course. I learnt how to determine the data having the same trends to get models to be applied to upcoming data.
Mr Ee Keng Soon,
Participant from Aug 2023 intake
What You Will Learn
What You Will Learn
Fundamentals of Data Mining
- Introduction to data mining concept and applications in manufacturing
- Process correlation modelling and data pattern analyses through statistical methods
- Advanced data clustering technologies for anomaly detection and classification
- Process performance prediction using artificial intelligence (neural networks, etc)
Case Studies by Grouping Projects Using Real Production Data
- Data preparation
- Problem statement
- Technical challenges
- Project objectives
- Data collection and pre-processing
- Data analysis
- Major factor identification by correlation coefficient analysis
- Correlation modeling by multiple regression method and root cause analysis
- K-means clustering and pattern based regression modeling
- Correlation modeling by fuzzy neural networks method for quality estimation
- What-if predictive analysis for process improvement & DOE design
- Project conclusion
- Improvement plan
- Identifying yield improvement areas
- Production/process improvement plan
Upon Completion of This Course
Upon Completion of this Course
Electronic Statement of Attainment (SOA) certificates (in ) will be issued by SkillsFuture òòò½Íø(SSG) to participants who have attended and attained competency in the òòò½ÍøSkills Framework training modules.
Participants must also meet the following criteria to receive their SOAs:
- 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, 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 $4,000 before funding and prevailing GST.
Nett Course Fee
| International Participants | òòò½ÍøCitizens aged 39 years and below, òòò½ÍøPermanent Residents and LTVP+ Holders | Employer-sponsored and self-sponsored òòò½ÍøCitizens aged 40 years and above (MCES) ² | SME-sponsored local employees (i.e òòò½ÍøCitizens, òòò½ÍøPermanent Residents and LTVP+ Holders) (ETSS) ¹ |
|---|---|---|---|
| $4,360 | $1,308 | $508 | $508 |
LONG TERM VISIT PASS PLUS (LTVP+) HOLDERS
- The LTVP+ scheme applies to lawful foreign spouses of òòò½ÍøCitizens with (i) at least one òòò½ÍøCitizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the òòò½ÍøCitizen 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)
The ¹ is for company-sponsored participants who are subject to the eligibility criteria shown below:
SMEs that meet all of the following eligibility criteria:
SME-sponsored Trainees:
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)
- The ² is meant for employer-sponsored and self-sponsored òòò½ÍøCitizens aged 40 years old and above.
SkillsFuture Credit
- All Singaporeans aged 25 years old and above are eligible for which can be used to offset course fees (for self-sponsored registrations only).
- This course is eligible for only if you sign up and enrolled under the SkillsFuture Career Transition Programme (SCTP).
- If you are applying only for this module, you can still use your to offset the course fee as a self-sponsored participant.
How course fees are calculated
| TYPE | CATEGORY OF INDIVIDUALS | |||
| International Participants | òòò½ÍøCitizens aged 39 years and below, òòò½ÍøPermanent Residents and LTVP+ Holders | Employer-sponsored and self-sponsored òòò½ÍøCitizens aged 40 years and above | SME-sponsored local employees (i.e òòò½ÍøCitizens, òòò½ÍøPermanent 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 | $4,000 | $4,000 | $4,000 | $4,000 |
| SkillsFuture Funding | Not Applicable | ($2,800) | ($3,600) | ($3,600) |
| Nett Course Fee | $4,000 | $1,200 | $400 | $400 |
| GST 9% | $360 | $108* | $108* | $108* |
| Total Nett Course Fee Payable to Training Provider | $4,360 | $1,308 | $508 | $508 |
Contact Us
- For technical enquiries, please contact:
Ms Su Myat Phyoe,
Email: su_myat_phyoe@SIMTech.a-star.edu.sg
- For general enquiries, please contact:
Knowledge Transfer Office,
Email: KTO-enquiry@SIMTech.a-star.edu.sg
Registration
- Please register for this course through our Course Registration Form for Public Classes.
- For the first question, please select "Modular Programmes".
- 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.
Collateral
Schedule
Module | Skills Course Reference Number | Next Intake(s)'s Training Period
(Click on the dates to view its schedules) | Registration Status |
| TGS-2020506158 |  |
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 òòò½Íø(SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.
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: Evening- View the full list of modular programmes offered by SIMTech and ARTC.
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