Design of Experiments (DOE): Optimization & Response Surface Designs (Minitab)
Design experiments that find the vital few factors and their optimum settings. Using Minitab, participants plan and analyse full and fractional factorial designs, detect interactions and optimise processes with response surface methods. The 7-day format adds a full statistics-with-Minitab foundation.
At a glance
- 3 days · DOE workshop
- 7 days · Statistics with Minitab + DOE
Who it's for
- Process, quality & R&D engineers
- Six Sigma Green/Black Belts
- Formulation & product development specialists
Learning objectives
- Use Minitab to import, explore and graph data
- Apply hypothesis tests, confidence intervals and regression (7-day)
- Screen factors with full and fractional factorial designs
- Find interactions and use small-run designs
- Optimise with response surface methods (CCD, Box-Behnken, steepest ascent)
- Optimise multiple responses and analyse variability
Detailed content
- Importing & exploring data
- Graphical analysis
- Confidence intervals & hypothesis testing
- ANOVA
- Correlation & regression
- Design of factorial experiments
- Power & sample size
- Normal effects plot & Pareto of effects
- Main-effect, interaction & cube plots
- Centre points
- Fractional factorials & small-run designs
- Steepest ascent
- Central composite & Box-Behnken designs
- Overlaid contour plots
- Multiple response optimisation
- ANCOVA
- Unbalanced designs
- Split-plot designs
- Analysing variability
- Binary logistic regression
Day-by-day agenda
A typical schedule. In-company versions are tailored to your processes, data and timing.
- Statistics with Minitab (7-day format only)
- Factorial Designs
- Response Surface Methods
- Advanced Topics
- Case study, action plans and course assessment
Practice, tools and assessment
Hands-on practice
- Build and interpret X-bar/R, I-MR and p-charts from plant data
- Run a capability study (Cp, Cpk, Pp, Ppk) and set improvement targets
- Software lab: the same analysis in Minitab and Excel
- Solve allocation and scheduling problems with Excel Solver
Tools and templates you keep
- SPC chart selection guide
- Capability and sample-size calculators
- Solver model templates
- Course workbook and slide handouts
How learning is assessed
- Pre- and post-course knowledge check
- Assessment of practical exercises by the trainer
- Action plan reviewed at the end of the course
Built on these standards and bodies of knowledge
- AIAG SPC manual (2nd ed.)
- ISO 7870 (control charts) and ISO 22514 (capability)
- INFORMS analytics body of knowledge
How it is delivered
- Public courses in Cairo, in-company programs and live online training
- Practical exercises, case studies and examples from your sector
- Can also run as Train & Stay in Sharm El Sheikh, Hurghada or Cairo
Part of these career paths
Frequently asked questions
How long is Design of Experiments (DOE): Optimization & Response Surface Designs (Minitab)?
The program runs 3 days; other formats: 7 days. In-company versions can be adapted to your needs.
Is the course taught in Arabic or English?
Sessions are usually delivered in Arabic with English technical terms and materials. Full English delivery is available for in-company groups.
Can you run it inside our company?
Yes. In-company programs use exercises built on your own processes. Tell us the group size and preferred timing and we will send a proposal.
Will I receive a certificate?
Participants who complete the program and its assessment receive a certificate from The Excellence Center, which can be verified online.
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Get dates, fees and the full outline.
Tell us whether you are joining as an individual or planning a program for your team.