IMPLEMENT MANUFACTURING DATA MINING TECHNIQUES (42 HOURS)

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

Electronic Statement of Attainment (SOA) certificates (in OpenCerts Formats) will be issued by SkillsFuture Singapore (SSG) to participants who have attended and attained competency in the Singapore Skills 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.

Find out more about the WSQ SOA certificate.

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.

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)

• The ¹Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS) is for company-sponsored participants who are subject to the eligibility criteria shown below:

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.
  

SkillsFuture Credit

• All Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit (Opening SkillsFuture Credit and One-off SkillsFuture Credit Top Up) which can be used to offset course fees (for self-sponsored registrations only).

• This course is eligible for SkillsFuture Credit (Mid-Career) 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 Opening SkillsFuture Credit and One-Off SkillsFuture Credit Top Up to offset the course fee as a self-sponsored participant.

How course fees are calculated