Design of Experiments (DOE) Training in Malaysia
Stop guessing with One-Factor-at-a-Time trial and error. Learn to design, run and analyse statistically valid experiments that reduce manufacturing defects, raise process yield and cut costs — delivered in-house onsite, live online, or as self-paced e-learning.
Real Result From a DOE Project
*Injection-moulding shrinkage case study covered in the program. USD ~185k converted for illustration.
What is Design of Experiments (DOE) — and why it matters
Design of Experiments (DOE) is a branch of applied statistics for planning, running and analysing controlled tests so that valid, objective conclusions are drawn effectively and economically. Instead of the intuitive One-Factor-at-a-Time (OFAT) approach — changing one input while holding the rest constant — DOE changes multiple factors simultaneously in a structured, orthogonal pattern. That single shift is what lets engineers detect interactions between factors, find the true "sweet spot" of a process, and reach robust settings with far fewer runs.
For Malaysian manufacturers, R&D teams and quality engineers, DOE is the fastest route from "we think this is the cause" to "the data proves it." This HRD Corp claimable DOE training takes participants from first principles through full factorial, fractional factorial, Taguchi and Response Surface Methodology (RSM) — using a real factory case study where DOE cut injection-moulding defects by 68%.
What participants will be able to do
Traditional test vs DOE
Explain why OFAT fails on complex processes and how DOE overcomes it.
Factors, levels & responses
Correctly define the controllable inputs, their settings, and measurable outputs.
Types of DOE
Choose between full factorial, fractional factorial, RBD, Taguchi and RSM.
Run a DOE end-to-end
Apply the 7-step workflow from objective to verified, implemented result.
4 modules, from fundamentals to optimisation
Section 1 — Introduction & Fundamentals
- Cause-and-effect: what an experiment really tests
- System-as-a-model thinking
- OFAT vs DOE and the "interaction blind spot"
- Factors, levels & responses
- Replication & randomisation for valid results
Section 2 — Types of DOE
- Full factorial (2ⁿ) designs
- Fractional factorial for screening the "vital few"
- Randomised Block Design (RBD)
- Plackett-Burman, Taguchi & Latin Squares
- Response Surface Methodology (RSM)
Section 3 — The 7-Step DOE Workflow
- Define objectives & scope
- Select factors and levels
- Choose the design matrix
- Execute trials (randomise, replicate, block)
- Analyse with P-values, R², ANOVA & residuals
- Verify with confirmation runs, then conclude
Section 4 — Manufacturing Case Study
- Variable polymer shrinkage: a 14% reject rate
- 2³ full factorial on temperature, pressure, cooling
- Pareto & interaction analysis of the vital factors
- RSM to find the optimal process window
- Outcome: 68% defect reduction & major cost savings
Choose the delivery that fits your team
Same rigorous curriculum and trainer — delivered however suits your operation. All formats are HRD Corp claimable for eligible Malaysian employers.
In-House / Onsite Physical
Our trainer runs the program at your premises with your own products and data. Best for hands-on, team-wide capability building and confidential process work.
Course code: A001-ID4-M100
- ✓ Trained on your real factory data
- ✓ Up to 25 pax per group — best cost per head
- ✓ Live worked exercises & templates
Remote Online (Live Virtual)
Instructor-led over video conferencing — the full curriculum, live Q&A and screen-shared software demos, with participants joining from any site.
Course code: A001-ID4-M010
- ✓ No travel or venue cost
- ✓ Multi-site teams in one session
- ✓ Live software walkthroughs
E-Learning (Self-Paced)
The DOE program on our MegaLearn platform — learn on demand, complete assessments and earn a verifiable certificate at your own pace.
Course code: A001-ID4-M001
- ✓ Learn anytime, revisit any module
- ✓ Built-in quiz & certificate
- ✓ Lowest cost per learner
From 14% rejects to 4.5% — with one designed experiment
A precision electronics manufacturer was losing 14% of plastic housing components to excessive shrinkage. Years of one-factor-at-a-time tweaking never stabilised the process. A single 2³ full factorial experiment on melt temperature, injection pressure and cooling time revealed the hidden temperature×pressure interaction the technicians had been missing.
Response Surface Methodology pinpointed the optimal window (235°C, 115 Bar, 22 s). The result: a 68% drop in defects and major annual savings per line. In this program, participants work through this exact analysis step by step.
Led by Dr. Steven Chai, PhD
Dr. Steven Chai
PhD, Electrical Engineering
- • PhD — Universiti Teknologi Malaysia (UTM)
- • M.Sc Optical Engineering — UTM
- • APICS-certified (logistics & inventory)
- • Managing Director, AquaPro Engineering (Singapore)
Dr. Steven Chai brings over 20 years of Industry 4.0 experience in automated production-line control to every DOE session — the same environment where designed experiments deliver the biggest returns. His engineering career pairs deep statistical rigour with real shop-floor implementation.
His team has designed and built intelligent automation and irrigation systems for landmark clients including Singapore's Woodlands Checkpoint, Khoo Teck Puat Hospital, ITE College and Tiong Nam Logistics. Coming from a family of rubber, orchard and vegetable cultivators, he also applies systems thinking to agriculture — successfully managing a 3,000+ tree vanilla farm from growing to processing, a story featured on TV8 Malaysia.
That blend — a doctorate-level command of experimental design plus two decades of making processes actually work in the field — is what makes his DOE training practical, relatable and immediately applicable to your operation.
Built for people who own a process
No prior statistics background is required — the program starts from first principles and builds up to advanced designs.
Fund it with your HRDC levy
Eligible Malaysian employers can claim this DOE training under the HRD Corp Claimable Courses scheme. Our TTT-certified trainer, course content and schedule are ready for your grant application on eTRiS — submit at least one day before training starts.
Read our HRD Corp claim guideFrequently asked questions
Is DOE training HRD Corp claimable?+
Yes. It is HRD Corp claimable for eligible Malaysian employers across all three formats — onsite, live online and e-learning. Submit your grant application on eTRiS at least one day before training begins.
What are the delivery options and prices?+
E-Learning RM490/pax (list RM650), Live Online RM850/pax, and In-House Onsite RM1,900/group. It is a half-day program.
Do participants need a statistics background?+
No. The program starts from first principles — cause and effect, factors and levels — before building up to factorial, Taguchi and Response Surface designs.
Who should attend?+
Quality, production and R&D engineers, Six Sigma Green/Black Belts, and continuous-improvement or Lean teams.
Bring Design of Experiments to your team
Tell us your process challenge and preferred format — in-house onsite, live online, or e-learning — and we'll send a tailored proposal and HRD Corp claimable quote.