Global Learning for Operational Leaders
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Design of experiments is a powerful method for understanding how multiple factors affect a process and finding optimal settings with minimum testing. It is widely used in manufacturing, laboratories and process industries.
This Aractech course explains experimental design principles, full and fractional factorial designs, analysis of effects and interactions, screening experiments, response surface basics and practical planning and execution. Participants design and analyse experiments using software and case data.
The course enables engineers and analysts to move beyond one-factor-at-a-time testing.
What you will achieve
Learning objectives
- Explain the principles of designed experiments
- Plan experiments with clear objectives and factors
- Design full and fractional factorial experiments
- Analyse main effects and interactions
- Use screening and optimisation designs
- Implement and verify optimal settings
Who should attend
Target audience
- Process and quality engineers
- Six Sigma practitioners
- R&D scientists
- Laboratory professionals
- Product development engineers
- Analysts
Methodology
Learning approach
- Concept sessions
- Software-based exercises
- Case studies
- Hands-on experiment simulation
- Group presentations
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Experimental Thinking
- Limits of one-factor testing
- DOE principles
- Factors, levels and responses
- Randomisation and replication
- Coffee break
- Randomisation and replication (continued)
- Planning
- Exercise: Experiment planning
Day 2
Factorial Designs
- Full factorial designs
- Main effects
- Interactions
- Analysis
- Coffee break
- Analysis (continued)
- Graphs
- Lab: Two-level factorial
Day 3
Fractional and Screening Designs
- Fractional factorials
- Resolution and confounding
- Screening designs
- Selecting designs
- Coffee break
- Selecting designs (continued)
- Interpretation
- Lab: Screening experiment
Day 4
Optimisation
- Response surface basics
- Centre points
- Robust design concepts
- Coffee break
- Confirmation runs
- Case study: Process optimisation
- Exercise: Optimisation
Day 5
Practical Application
- Running experiments
- Common mistakes
- Communicating results
- Implementing settings
- Coffee break
- Implementing settings (continued)
- Control
- Capstone: Experiment design project
FAQ
Frequently asked questions
What does Design of Experiments for Process Improvement (QP-014) cover?
This course covers Quality and Productivity through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Process and quality engineers, Six Sigma practitioners, R&D scientists
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Munich, Amsterdam, London.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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