Production and process teams across South African industry often tune settings by trial and error, changing one factor at a time and never finding the best combination. This course introduces practical design of experiments so teams can test several factors at once, find the settings that give the best yield and quality, and prove the result with data. The methods are taught with worked factory examples rather than heavy theory.
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Explain why one factor at a time testing wastes time and hides interactions.
Plan a factorial experiment that tests several process factors together.
Run a structured trial on a real process while controlling for noise.
Analyse experiment results to find the settings that optimise yield and quality.
Interpret interaction effects between process factors.
Translate experiment findings into standard operating settings for production.
Course outline
01Limits of Trial and Error Tuning
02Factors, Levels and Responses
03Full and Fractional Factorial Designs
04Planning a Trial and Controlling Noise
05Analysing Main Effects and Interactions
06Finding Optimum Process Settings
07Confirming Results and Setting Standards
Who should attend
This course is aimed at process engineers, production technologists, laboratory technicians, and continuous improvement practitioners who want to optimise process settings scientifically.
Fees are per delegate. South African venues are priced in rand; other locations and online in US dollars. Fees exclude 15% VAT where applicable. Group bookings of three or more delegates from the same organisation qualify for a reduced rate; contact us for a quotation.
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