Factory Performance Improvement through Operations Modelling and Simulation (40 Hours)

Factory Performance Improvement through Operations Modelling and Simulation

Introduction

In times of uncertainty, companies are saddled with increasing resource costs such as manpower, energy and transportation. Increases in manpower cost, energy cost and transportation are outside the control of companies. So, what can the companies do to minimise the impact on the price increase?

Besides the direct cost to impact, companies can investigate areas to better utilise production resources, ease the congestion of work-in-progress parts and relook at the layout of the factory to optimise the production. Companies can explore streamlining the production flow with better planning and management of existing production systems using relevant decision analysis methods.

This course focuses on the following pain points faced by manufacturing companies:

  • Manpower issues such as labour shortages and upskilling of workers for value-added jobs in manufacturing
  • Frequent congestion of work-in-progress parts under a space-constrained (small or/and multi-level/location) production space
  • Inefficient utilisation of production resources such as machines and transporters in a high product mix manufacturing environment

It addresses the pain points by (i) streamlining the production flow prior to factory automation and (ii) better planning and management of existing production systems using relevant decision analysis methods.

About the Programme

The course adopts SIMTech’s Learn-Practise-Implement™ (LPI™) pedagogy with emphasis on industry case studies and a project work targeting the pain points in the learners’ company. Throughout the 10 half-day sessions, the trainers will cover topics in:

  • Fundamentals of Factory Performance – Evaluate factory performance and productivity improvement initiatives
  • Supplier and Order Fulfilment – Quantify and manage external uncertainties
  • Layout Planning – Assess and plan layout for different manufacturing environment
  • Capacity Management – Plan capacity at strategic, tactical, and operational levels
  • Operations Simulation – Understand and identify relevant COTS simulation software
outline_Factory Performance Improvement through Operations Modelling and Simulation

Who Should Attend

The course is specially designed for aspiring or existing industrial engineers, production planners and factory managers with a keen interest or basic knowledge in supplier management, production layout and resource capacity planning.

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, where fundamental knowledge and principles taught will be reinforced with hands-on practices.

Key focus areas or applications:

  • Fundamentals of Factory Performance
  • Layout Planning
  • Advance Capacity Management
  • Supplier and Order Fulfilment
  • Basic Capacity Management
  • Operations Simulation

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.

In addition, please note that participants' SOA certificates will display the Skills Standard title, not the course title. For this course, the certificate will indicate the Skills Standard: Production Resource Management.
Sample of a Statement of Attainment (SOA) as shown below:
SSG SOA

The name printed on the Statement of Attainment (SOA) issued by SkillsFuture Singapore is the Skills Standard title, such as a Technical Skills and Competency (TSC) title, rather than the course title. This is because the SOA is aligned with the national Skills Framework, ensuring consistent recognition across industries and among employers. While the course title describes the learning experience, the SOA certifies the specific nationally recognised competency attained.

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		 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) ²		 SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$4,360 $1,308 $508 $508
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

TYPE CATEGORY OF INDIVIDUALS
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  SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent 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
* Based on 30% of Full Course Fee

About the Trainers

Mr Tan Chin Sheng
Dr Gan Boon Ping
Dr Nirupam Julka
Mr Tan Peng Yu
Mr Aloysious Lee
Mr Tan Chin Sheng
Mr Tan Chin Sheng
Lead Research Engineer
A*STAR SIMTech

Mr Tan Chin Sheng is a Lead Research Engineer at A*STAR SIMTech with more than 10 years of experience in modelling and optimisation of supply chain and manufacturing operations. He has worked with manufacturing companies in optimising their production capacity and operations flow (layout) considering the required throughput, processing steps and time.

Dr Gan Boon Ping
Dr Gan Boon Ping
Chief Executive Officer & Co-founder
D-SIMLAB Technologies

Dr Gan Boon Ping, Chief Executive Officer (CEO) and co-founder of D-SIMLAB Technologies, has been involved in simulation technology application and development since 1995, with a focus on semiconductor manufacturing and aviation spare inventory management. He was also responsible for several operations improvement projects with wafer fabrication clients which concluded with multimillion dollar savings. He is now responsible for managing the technology and product development at D-SIMLAB as well as execution of projects in the semiconductor and engineering domains. Dr Gan holds a Master of Applied Science degree, specializing in Computer Engineering from the Nanyang Technological University, Singapore.

Dr Nirupam Julka
Dr Nirupam Julka
Chief Financial Officer
D-SIMLAB Technologies

Dr Nirupam Julka has been working in supply chain simulation since 1999. In 2001, he joined A*STAR SIMTech where he executed simulation-based projects with multinational companies as well as in collaboration with academia. Currently at D-SIMLAB Technologies, he is the Chief Financial Officer (CFO) and oversees the development and execution of the aviation spare part inventory management domain as well as new domain projects. Dr Nirupam holds an Engineering Doctorate (cum MBA) in Manufacturing Systems from the Cranfield University, UK, a Master of Engineering from the National University of Singapore, and a Bachelor of Technology from the Indian Institute of Technology (IIT).

Mr Tan Peng Yu
Mr Tan Peng Yu
Senior Research Engineer
A*STAR SIMTech

Mr Tan Peng Yu is a Senior Research Engineer in A*STAR SIMTech with research interest in Factory Production Flow Simulation and Virtual Reality for manufacturing. He was involved in conducting the SGUnited Skills (SGUS) training on Computer-Aided Design(CAD) and Factory Flow Simulation, as well as developing useful Virtual Reality training simulations for manufacturing. He currently holds a Bachelor Honours Degree in Mechanical Engineering from the Nanyang Technological University, Singapore.

Mr Aloysious Lee
Mr Aloysious Lee
Senior Research Engineer
A*STAR SIMTech

Mr Aloysious Lee has more than 10 years of experience in manufacturing operations management and digital innovation with wide-ranging industries. Some of his areas of industry and research works include Supply Chain Risk Management, Planning and Scheduling, Inventory Management, Knowledge Management/Transfer, Learning Factory Concepts and Metaverse. He is also an ACLP-certified trainer that has helped deliver many SIMTech’s training programmes.

Registration

Sign up now
  • Please register for this course through our online form: 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.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Collateral

Download brochure


Factory Performance Improvement through Operations Modelling and Simulation

Contact Us

Schedule

Module
 Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		 Registration Status 
  • Factory Performance Improvement through Operations Modelling and Simulation (40 hours)
 TGS-2022010974 The schedule for the next intake is still in the planning stage.  

Note: A*STAR SIMTech and A*STAR 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.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

Quick Link

Factory Performance Improvement through Operations Modelling and Simulation