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Design of Experiment (DOE) Masterclass

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

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.

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

Design of Experiment (DOE) Masterclass

Course Code: C950

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Master the methodology that turns trial-and-error into science in this hands-on Design of Experiment (DOE) Masterclass. DOE is the statistical engine behind modern process improvement—used across manufacturing, engineering and R&D to identify which factors truly drive an outcome, quantify their interactions, and find optimal settings in the fewest possible runs. The masterclass meticulously unveils the theory, methodology and practical application of DOE, ensuring you are well-versed in the principles, applications and inherent limitations of the statistical techniques involved.

Through expert insights and real-world examples, you will learn to design experiments aimed at refining processes, then move on to the crucial tasks of analyzing and interpreting the results and developing plans that optimize processes to their fullest potential. The masterclass also walks through the full experimentation workflow, complemented by an introduction to statistical software for data analysis, so you leave equipped to validate and champion the DOE methodology in real-world scenarios—and to spearhead process improvements that make your operations not just efficient, but exemplary.

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training *

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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

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.

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

Topic 1 Introduction to Design of Experiment

What is Design of Experiment (DoE)?
DoE vs OFAT Experiments
Comparative Experiments
Basic Principles of DoE
Terminology of DOE
Types of DoE

Topic 2 Factorial Experiments

What is Factorial Experiments
Two Level Factorial Design
Blocking and Replication
Analysis Factorial Experiments
Fractional Factorial Experiments
Confounding Effects and Resolution Types
Available Two Level Factorial Designs
Factorial Design with Center Points

Topic 3 Response Surface Method

What is Response Surface Method (RSM)?
Central Composite Design (CCD)
CCD Analysis

Topic 4 Mixture and Taguchi Designs

What is Mixture Design?
Components
Simplex Centroid Design
What is Taguchi Design?
Signal and Noise Factors
Catalogue of Taguchi Designs
Optimisation of Taguchi Designs

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Process Engineer
Quality Assurance Manager
Manufacturing Engineer
Operations Manager
Production Manager
R&D Scientist
Six Sigma Black Belt
Lean Manufacturing Specialist
Industrial Engineer
Continuous Improvement Manager
Quality Control Specialist
Operations Research Analyst
Supply Chain Analyst
Project Manager
Business Process Consultant

Trainers

Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Khoo Yong is an ACTA-certified trainer with a strong foundation in adult education and applied analytics. With years of experience in training and mentoring learners, he specializes in simplifying complex concepts in data analysis and statistical methods for beginners. His expertise includes guiding participants in applying R programming to perform descriptive statistics, hypothesis testing, and data visualization, equipping them with practical skills to analyze data effectively and interpret results with confidence. As a certified adult educator, Khoo Yong ensures his training is engaging, structured, and accessible to learners from diverse backgrounds. He emphasizes hands-on practice with R, enabling participants to bridge theory with application in real-world contexts. His learner-centered approach not only builds technical competency but also fosters analytical thinking, preparing participants to use statistical tools in business, research, and decision-making.

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.