KTO Color Logo

Connect with KTO

IMPROVE QUALITY MONITORING AND MANAGEMENT THROUGH DIGITALISATION* (16 HOURS)

Improve Quality Monitoring and Management
*This is a non-WSQ module.

"Digitalisation is the use of digital technologies to change a business model and provide new revenue and value-producing opportunities."

Gartner Glossary

INTRODUCTION

Using digitalisation, businesses can transform shopfloor quality operations using manual processes into digitalized workflows. The benefits include improved productivity in data collection, easy traceability of quality data and proper alignment between quality planning and operations. Furthermore, digitalisation makes it easy to gain insights in the trove of quality data. These insights provide organisations with real-time visibility of potential quality problems and performance presented in a dashboard.

About the Programme

This is an introductory course on quality management for the manufacturing shopfloor. The course will cover the meaning of quality and concepts such as Six Sigma and Taguchi loss function. We will also explore how digitalisation can enhance quality management and monitoring.

Using SIMTech’s Model Factory environment and software, participants can see demonstrations of the use of digitalisation in the shop floor for quality inspection. They will also be exploring the concept of variation, statistical process control (SPC) and process capability and how these can improve their organisations’ processes. Finally, we will study how different shopfloor systems can be integrated with quality systems for effective quality monitoring.

Who Should Attend

This course is designed for technicians, engineers and managers who are involved in the running of manufacturing operations or any individual that uses, plans, develops or manages a quality system in a manufacturing environment, especially with precision engineering companies.

Course Outline

COURSE OUTLINE

This programme consists of five key topics:

  • Introduce the Definition of Quality, Six Sigma Concept and Taguchi Loss Function
  • Understand how Digitalisation can improve Quality

  • Introduction of Control Plan
    Participants will see demonstrations of the use of digitalisation technologies to create control plan and collect quality data.

  • Focus on Statistical Process Control (SPC) and Process Capability
    Participants will learn the difference between common and special variation and be taught how to interpret a control chart and select the correct control chart type.

  • Demonstration on Quality Management and Monitoring Systems
    How the two systems work together with other shop floor production systems to enable quick detection and containment of quality problems.

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 $1,600 before funding and prevailing GST.

Nett Course Fee

International
Participants		Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders
Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) ²SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$1,744
$523.20$203.20$203.20
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

How course fees are calculated

TYPECATEGORY OF INDIVIDUALS
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 aboveSME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
FUNDING SOURCE
 Not applicable for SkillsFuture FundingSkillsFuture Funding (Baseline)SkillsFuture Mid-career Enhanced Subsidy (MCES) ²SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee$1,600 $1,600 $1,600 $1,600 
SkillsFuture FundingNot Applicable  ($1,120)($1,440)($1,440)
Nett Course Fee$1,600$480 $160$160
GST 9%
$144 $43.20* $43.20* $43.20*
Total Nett Course Fee Payable to Training Provider$1,744$523.20 $203.20 $203.20
* Based on 30% of Full Course Fee

About the trainer

Mr Steven Chan

close
Mr Steven Chan is a Senior Research Engineer from the Cyber-Physical Production System (CPPS) Group at SIMTech. He has 18 years of experience in semiconductor manufacturing as a process and equipment engineer. Mr Chan is also a certified Lean Six Sigma Black Belt holder. His research work involves the development of quality management and monitoring software.

Contact Us

  • For technical enquiries, please contact:
  • For general enquiries, please contact:

Mr Kevin ZHENG,
Email: kevin_zheng@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
  • Improve Quality Monitoring and Management Through Digitalisation (16 hours)
TGS-2020504616The 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

A*STAR celebrates International Women's Day

A*STAR Women In Science

From groundbreaking discoveries to cutting-edge research, our researchers are empowering the next generation of female science, technology, engineering and mathematics (STEM) leaders.

Get inspired by our #WomeninSTEM