Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Lean Manufacturing
TSC Code
PRE-OPR-4064-1.1

Funding Validity

Funding for this course is valid from 25 Apr 2023 to 24 Apr 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Identify eight types of production wastes within the organisation, benefits of lean manufacturing and steps to achieve lean performance results.
  • LO2: Apply lean principles to compute production capacity and TAKT time.
  • LO3: Perform ABC analysis for inventory classification using selective inventory control.
  • LO4: Calculate economic batch quantity and number of ‘kanbans’ required.
  • LO5: Identify objectives of production and inventory control and types of inventories by function and condition.
  • LO6: Implement lean manufacturing tools for improved inventory flow and material flow.
  • LO7: Implement lean manufacturing in an organization at various levels and within various areas for improvement.
  • LO8: Determine the necessity for preventive maintenance within the organisation.
  • LO9: Identify performance measurement areas in lean manufacturing and steps required for successful lean implementation.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

AI for Lean Manufacturing

Course Code: TGS-2023020425
  • WSQ
  • SFC
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

This AI for Lean Manufacturing course equips learners with practical knowledge and hands-on skills to apply Artificial Intelligence (AI) to improve manufacturing processes, reduce waste, enhance productivity, and support continuous improvement. The course integrates established Lean Manufacturing principles with modern AI capabilities, enabling participants to identify inefficiencies, analyse operational data, and make more informed improvement decisions.

Learners will explore how AI can support key Lean practices such as value stream analysis, waste identification, process optimisation, quality improvement, predictive maintenance, production planning, and root cause analysis. Through practical manufacturing scenarios, participants will use AI to analyse process information, identify bottlenecks and non-value-added activities, generate improvement recommendations, and evaluate alternative solutions.

The course also examines how AI can enhance traditional Lean approaches such as 5S, Kaizen, Value Stream Mapping (VSM), Standard Work, Overall Equipment Effectiveness (OEE), and continuous improvement. Participants will learn how AI-assisted analysis can help uncover patterns in production data, monitor operational performance, anticipate potential issues, and support faster problem-solving.

With a strong emphasis on hands-on and real-life manufacturing applications, learners will work through practical exercises and improvement scenarios that demonstrate how AI can complement human expertise on the production floor. By the end of the course, participants will be able to apply Lean and AI techniques together to identify improvement opportunities, streamline manufacturing workflows, reduce operational waste, and contribute to smarter, more efficient manufacturing operations.

WSQ Funding

Full Fee $800.00 Before GST
GST $72.00 9% of fee
Baseline Nett $472.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $312.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$800.00 (GST-exclusive)
$872.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Lean Manufacturing Fundamentals and Waste Reduction

  • Identify the eight types of production waste with AI-assisted analysis
  • Benefits of lean manufacturing and steps to achieve lean performance results
  • Apply lean principles to compute production capacity and TAKT time
  • Use AI for value stream analysis and to surface non-value-added activities

Topic 2: AI for Inventory Classification and Kanban Optimisation

  • Perform ABC analysis for inventory classification using selective inventory control
  • Calculate economic batch quantity and the number of kanbans required
  • Apply AI to optimise batch sizing and kanban levels
  • Basic lean and QC tools

Topic 3: AI-Enabled Production, Inventory and Material Flow Control

  • Objectives of production and inventory control
  • Types of inventories by function and condition
  • Implement lean manufacturing tools for improved inventory and material flow
  • Use AI to identify bottlenecks and support production planning

Topic 4: AI for Lean Implementation, Performance and Preventive Maintenance

  • Implement lean manufacturing at various organisational levels and areas for improvement
  • Determine the necessity for preventive maintenance within the organisation
  • Apply AI to predictive maintenance and Overall Equipment Effectiveness (OEE)
  • Identify performance measurement areas and steps for successful lean implementation

Assessment

  • Written Exam
  • Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

  • Singapore Citizens and Singapore Permanent Residents aged 21 and above.
  • Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
  • Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

  • Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
  • Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
  • Employers can also claim Absentee Payroll funding for employees who attend during working hours.
  • Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

  • Attendance is taken digitally with Singpass for every session, including the assessment.
  • You must complete the course and pass all assessments (assessed as Competent).
  • If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
  • 9% GST is charged on the full course fee before funding.
  • Promo and discount codes cannot be used on funded courses.
  • Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
  4. Click Submit a Claim and search for this course by its course code, TGS-2023020425.
  5. Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
  6. Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

  • Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
  • SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply UTAP (NTUC Members)

NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.

Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.

  1. Make sure your NTUC membership is paid up before the course starts.
  2. Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
  3. Attend at least 75% of the course and sit all assessments.
  4. Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
  5. Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
  6. NTUC usually pays the claim within 4 weeks of submission.

Read more in our UTAP guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
  5. MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

  1. When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Job Roles

  • Production Manager
  • Operations Manager
  • Manufacturing Engineer
  • Process Engineer
  • Quality Assurance Manager
  • Plant Manager
  • Continuous Improvement Coordinator
  • Supply Chain Manager
  • Production Supervisor
  • Inventory Control Specialist
  • Logistics Coordinator
  • Six Sigma Specialist
  • Industrial Engineer
  • Operational Excellence Manager
  • Factory Floor Supervisor
  • Maintenance Engineer
  • Manufacturing Data Analyst
  • Smart Manufacturing Executive
  • Production Planner
  • Business Owner

Trainers

Trainers

Sivanesan Sivakaruniam is an IT governance and cybersecurity professional with over 20 years of experience in technology risk management, systems auditing, and business process control. Having led digital transformation and compliance initiatives across manufacturing and service industries, he specializes in helping organizations build strong cybersecurity frameworks to safeguard their operations. His expertise includes data protection, user access management, and cyber risk mitigation strategies aligned with ISO 27001 and NIST standards. As a certified corporate trainer, Sivanesan is known for delivering clear, practical, and relatable cybersecurity guidance for both technical and non-technical audiences.
Stephan Tan is an experienced operations and strategy leader with over 25 years of experience across manufacturing, supply chain, and process improvement. Currently serving as Operations Manager at Symrise, he oversees large-scale projects and drives best practices in business performance optimization, process excellence, and cross-functional collaboration. Stephan holds an MBA from Macquarie Graduate School of Management, a Certified Purchasing Manager (C.P.M.) credential, and dual certifications as a Certified ScrumMaster (CSM) and Certified Scrum Product Owner (CSPO). His leadership expertise is grounded in continuous improvement, negotiation, and agile transformation across complex global operations.
Ho Kum Chuen is a Certified Master Black Belt with more than 30 years of experience in engineering, process improvement, and quality management. He has led multiple Six Sigma projects in multinational corporations, focusing on DMAIC methodology, statistical quality tools, and breakthrough process improvements. His career includes senior roles in product development, quality assurance, and customer support, where he provided consultancy on aligning operations with strategic goals and industry standards such as IATF 16949. As an ACTA-certified trainer, Ho has delivered Lean Six Sigma training and mentored engineers in applying advanced quality methodologies. His teaching emphasizes hands-on application, enabling learners to identify waste, streamline processes, and improve workplace efficiency. With a strong track record in both consultancy and training, he ensures participants gain the practical skills to apply Lean Six Sigma tools effectively in their organizations.
Rajagopal Marimuthu is a project management and operations expert with over 27 years of experience in the semiconductor and automation industries. As a PMP-certified project manager and ACLP-certified trainer, he has successfully implemented multimillion-dollar automation projects and driven company-wide continuous improvement programs. His expertise spans program management, lean manufacturing, supply chain optimization, and quality systems management. Throughout his career at Micron Semiconductor and Texas Instruments, Rajagopal has applied Lean Six Sigma principles to improve efficiency and operational performance. As a trainer, he focuses on making Lean Six Sigma accessible to professionals across industries, helping them use tools and frameworks to eliminate waste and drive productivity. His learner-focused approach ensures participants can apply proven methodologies to achieve measurable improvements in their workplace.
Mark Tan Kee Tchuan is a Lean Six Sigma Master Black Belt practitioner with over 20 years of experience in organizational transformation and operational process improvement. He specializes in leveraging Lean and Six Sigma methodologies to optimize both operational and transactional environments, leading cross-functional projects to drive standardization, efficiency, and business outcomes. Mark has successfully implemented process redesign and resource optimization strategies, delivering measurable improvements across various sectors including logistics, manufacturing, service, and healthcare. With 6 years of industry consulting experience, Mark has built a strong business network through successful project delivery. He is also a Certified Scrum Master with over a decade of project management experience, overseeing large-scale system implementations, benchmarking, and cost optimization initiatives. Passionate about digitalization and automation, Mark has led RPA projects and applied design thinking to enhance user experience. His recent focus includes HR and enterprise-wide process re-engineering, where he leads continuous improvement initiatives and trains professionals in Lean Six Sigma. In addition, he has been an adjunct faculty member at Singapore Institute of Technology (SIT) since 2016, certifying Yellow Belt students in continuous improvement.

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