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In order to achieve a product or process optimisation is indispensable to perform experiments within a controlled setting. If experiments are conducted systematically, by varying the potential influence factors simultaneously, much information can be gained from a surprisingly small number of experiments. This is the subject of statistical design of experiments ("DoE").

Statistical design of experiments is an important method in the context of quality assurance. Influencing factors are systematically varied at the same time. So a maximum of information about the desired quality characteristic (target value) can be gained with a minimum amount of tests. This allows a fast and efficient product- or process optimisation. The design space can simply be defined because of the information obtained and often systematical experimentation leads to knew insights. Further information about this method you can find on our information webpage about statistical design of experiments (doe).

Production logistic includes two aspects: on one hand the capacity estimation during the development of new plants or expansion and on the other hand the production optimisation in existing plants. Both are complex optimisation problems.