Data Mining Technologies
Solutions, strategies and software for experiment design in research, high speed experimentation and process engineering
Our service …
Modern experiment design must meet a variety of requirements. Minimizing the number of experiments while maximizing of the amount of information generated is only one aspect. Time restrictions and constraints imposed by equipment as well as specific demands, such as the capacity of a production plant, are imperative boundary conditions which must be considered when planning an experiment.
For this reason, we established an efficient, applicationoriented mix of methods which we have implemented within our design of experiment (DOE) workbench system to assist our customers in the planning and evaluation of their experiments. We combine state-ofthe-art methods and algorithms with the objective of optimal exploitation of available resources.
Our spectrum of methods comprises
- statistical and
- evolutionary design of experiments,
- neural network techniques,
- rigorous modeling
- hybrid modeling and
- data mining,
allowing us to work in a solution-oriented manner.
Our DOE products are tailored solutions for:
- process optimization;
- product design in research and development;
- optimization of chemical reactions and bioprocesses
Instead of using standard techniques, we offer individual and customer-oriented support for:
- the creation of cost-efficient strategies for design of experiments (DOE);
- the development of specialized software for use by our customers;
- the design of holistic workflows from DOE to model-based optimization;
- the supply and integration of our DOE workbench system;
- the implementation of integral workflows;
- feasibility studies.
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