Home
WSQ - Statistical Process Control (SPC) in Manufacturing

WSQ - Statistical Process Control (SPC) in Manufacturing

Unlock the secrets of manufacturing excellence with our Statistical Process Control (SPC) course. Tailored for professionals in the manufacturing sector, this course equips you with the skills to collect and analyze data, identify process variations, and apply corrective actions. Learn how to use SPC charts, calculate control limits, and improve your problem-solving skills to ensure optimum product quality and process efficiency.

Advance your career by mastering SPC methodologies that are essential in today’s competitive manufacturing landscape. From reducing waste to enhancing product consistency, the course covers everything you need to know to become an SPC expert. Whether you’re a supervisor, engineer, or quality control specialist, this training will help you make informed decisions, reduce production costs, and ensure customer satisfaction.

Learning Outcomes

By end of the course, learners will be able to

LO1: Determine process control with statistical functions.
LO2: Identify appropriate process control system and control charts.
LO3: Set up process control system and control charts.
LO4: Determine process capabilities and verify process control performance.
LO5: Analyze out of control (OOC) scenarios and determine follow-up actions required.

Course Brochure

Download WSQ - Statistical Process Control (SPC) in Manufacturing Course Brochure

Skills Framework

This course follows the guidelines of Quality Process Control ELE-QUA-4006-1.1 TSC under Electronics Skills Framework.

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
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.

Course Brochure

Download WSQ - Statistical Process Control (SPC) in Manufacturing Brochure

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$350	$31.50	$206.50	$136.50

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

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. Click here for SkillsFuture Credit submission

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. Click here to submit UTAP

Course Code: TGS-2020503771

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

Topic 1: Introduction To Statistical Process Control

Types of Variations
What is Statistical Process Control (SPC)
Why Use SPC for Manufacturing
Types of Data
Statistical Distributions
Central limit Theorem

Topic 2: Control Charts

Controlling a Process
What is a Control Chart
Subgroup and Choose Control Charts
Common Elements of Control Charts
Variable Control Charts
Attribute Control Charts

Topic 3: Setup SPC

Steps to Construct Control Charts
Calculation of Control Limits
Interpretation of SPC Charts

Topic 4: Process Control Capabilities

Capability vs. Control
Process Capability Ratios - Cp, Cpk Indices
Gage Capability & GR&R

Topic 5: Out of Control and Follow-Up Actions

SPC Rules
Out of Control (OOC)
Root Cause Analysis
Follow Up Actions

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Oral Questioning (OQ)

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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 18 years old

Minimum Software/Hardware Requirement

Software: NIL

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents of age 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Quality Control Manager
Process Engineer
Manufacturing Engineer
Production Supervisor
Quality Assurance Specialist
Lean Manufacturing Specialist
Operations Manager
Production Planner
Continuous Improvement Manager
Six Sigma Black Belt (with manufacturing focus)
Plant Manager
Reliability Engineer
Process Optimization Specialist
Industrial Engineer
Quality Control Technician.

Trainers

Sivanesan Sivakaruniam: Sivanesan Sivakaruniam is a process improvement and quality management specialist with over 20 years of experience in manufacturing, engineering, and operational excellence. A certified Lean Six Sigma Black Belt, he has led numerous quality assurance and process optimization projects across various industrial sectors. His expertise includes Statistical Process Control (SPC), process capability analysis, and continuous improvement methodologies that enhance productivity, reduce defects, and ensure consistent product quality. Sivanesan is also an experienced corporate trainer, known for translating complex statistical concepts into practical, easy-to-apply techniques on the production floor.

In “Statistical Process Control (SPC) in Manufacturing,” Sivanesan teaches participants how to apply statistical methods to monitor, control, and improve manufacturing processes. His sessions cover control chart interpretation, process variation analysis, and root cause identification using real-world data. Through case studies and hands-on exercises, he equips learners with the skills to implement SPC tools effectively, ensuring data-driven decision-making and long-term quality stability.

Stephan Tan: Stephan Tan is an experienced project management and quality systems consultant specializing in ISO standards, Lean methodologies, and process optimization. With a strong foundation in Six Sigma and SPC, he has guided organizations in establishing robust quality control systems and performance improvement frameworks. Stephan’s professional background spans industries such as electronics, logistics, and manufacturing, where he has implemented data-driven quality solutions that enhance reliability and compliance.

In “Statistical Process Control (SPC) in Manufacturing,” Stephan helps learners develop a comprehensive understanding of how to use statistical tools to maintain process stability and identify performance deviations. His training emphasizes practical application, including how to construct and analyze control charts, measure process capability, and respond to out-of-control conditions. By blending theory with industrial best practices, he ensures participants can apply SPC principles to achieve measurable improvements in production quality.

Praveen Dayal: Praveen Dayal is a senior management consultant and Lean Six Sigma Black Belt with more than 15 years of experience in process excellence, operational strategy, and business transformation. He has worked extensively with manufacturing and service organizations to streamline workflows, reduce waste, and strengthen process control using SPC and Lean methodologies. His expertise lies in combining statistical analysis with process management to deliver sustainable productivity and quality improvements.

In “Statistical Process Control (SPC) in Manufacturing,” Praveen guides learners through the structured implementation of SPC tools for monitoring and improving manufacturing quality. His sessions focus on data collection, control chart analysis, and the integration of SPC into a company’s overall quality management system. Through practical exercises and real-world examples, he empowers participants to identify process variations, improve yield, and build a culture of continuous improvement.

Teddy Yip Fook Khin: Teddy Yip is a process engineering and manufacturing operations professional with extensive experience in quality assurance, continuous improvement, and Lean Six Sigma methodologies. Having worked in precision manufacturing and industrial systems, he specializes in applying SPC techniques to optimize production processes and maintain consistent output quality. His analytical approach and industry knowledge have helped organizations enhance efficiency and achieve compliance with international quality standards.

In “Statistical Process Control (SPC) in Manufacturing,” Teddy provides participants with practical guidance on using SPC tools to detect process anomalies and reduce variation. His sessions cover the fundamentals of control charting, data interpretation, and corrective action planning. By focusing on hands-on learning and case-based discussions, he ensures that learners gain the confidence to apply SPC principles directly to their manufacturing environments.

Choong Sin Fatt: Choong Sin Fatt is a seasoned manufacturing and operations management expert with over 25 years of experience in process design, quality control, and industrial engineering. His career spans multiple sectors including electronics, automotive, and precision manufacturing, where he has implemented SPC, Lean, and Six Sigma initiatives to enhance productivity and quality performance. A certified trainer, he brings deep technical insight and practical experience in deploying statistical tools to manage complex production systems.

In “Statistical Process Control (SPC) in Manufacturing,” Sin Fatt focuses on helping participants understand how to apply SPC to achieve process consistency and defect reduction. His sessions emphasize the use of real production data to analyze variability, establish control limits, and improve process capability. By integrating statistical methods with continuous improvement strategies, he equips learners with the tools to build a robust, data-driven manufacturing environment that supports quality excellence.