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We are using multivariate data analysis and modelling as basis for process
monitoring and control. These methods work in a two-step approach: first,
a model is built for the process by implicating the process variables
and the output of a process. After thorough validation, the model can
be used to visualise and track changes in a process. The difference between
actual and optimal values can be fed into the process again for control.
The strengths of multivariate data analysis are the genericity of its
methods, the almost unlimited number of input variables and its intrinsic
ability to handle cross-effects.
Another common problem is the optimisation of an industrial process. Often the so-called COST approach (Change One Setting at a Time) is applied for varying the process variables to maximise the yield of the process. However, when the cross-effects of the input variables can not be neglected, the results of this approach will not be optimal. Systematically varying all the variables at the same time and applying multivariate data analysis techniques allows to reach an optimal result with the minimum number of trials. Furthermore, the influence of each variable and their interaction can be estimated.
Actually, multivariate data analysis can be used and is used in almost every field. Following there are application examples of multivariate data analysis and process control in four selected fields.
Pulp and Paper Industry
Economics / Financial Markets
We focus on all aspects of multivariate data analysis for process control including the measurements and EDP framework. However, knowledge and experience is needed in both the methodology itself and the process under investigation. And who should know your processes better than your experts? Substantial contribution from your process and samples experts is vital for the success of our cooperation.
Together we obtain information from your process data!Our philosophy
Our philosophy is to establish long-term partnerships with leading companies. The preconditions for a common success are good team work and communication as well as the sharing of know-how and information. We are fully aware of the fact that we touch the core knowledge of our customers, therefore we spread our activities in different industries to avoid conflicts of interests in the cooperation with customers and partners.Our vision
Our vision is to build up a Centre for Process Control with the focus on knowledge and experience in multivariate data analysis and process control which will offer innovative customers the possibility to integrate themselves to intensify the partnership in the project work, services, training and consulting.
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