Team-System develops business opportunities into real life projects.

Our focus is on projects dealing with new methods, technologies and are in an early stage of market development.

Those projects have a timescale of approximately one year before they are offered to interested partners or third party investors.


   Process Control

The goals of process monitoring and control are to achieve a better production homogeneity, to lower the number of defective pieces and reach a better understanding of the process for its optimisation.

After its initial engineering, a process is implemented. During the process execution several process variables are measured providing the basis for controlling the process. The evaluation of the measured variables gives information about the process, e.g. whether the process is stable, drifting or out of control. When the results of the evaluation are used as control parameter for the process we speak of process control. It is obvious that the cycle measuring/ monitoring/controlling forms a closed loop. The knowledge and evaluated data gained during process monitoring and control can then be used for optimising the process during re-engineering.

In a typical industrial process the inputs are processed at different stages and subprocesses to give the desired product with the wished properties. Along the process line, measurements are made for the purpose of monitoring and/or controlling the process itself.

Although statistical process control (SPC) is a well-established methodology, it is, in the vast majority of the applications, implemented by using univariate statistics, that is by analysing one variable at the time. Multivariate statistical process control (MSPC) uses multivariate statistics which has several advantages when compared to the univariate one. For instance:

  • easier interpretation of the results since all measured variables are simultaneously considered in one single model.
  • cross effects between variables are kept into account
  • effectiveness and correctness of the chosen monitoring variables
  • increase of the signal-to-noise ratio.

As the mathematics involved in MSPC is generic, the methods can be used virtually in every industrial context by providing stable and robust models helping to reach the objectives of constant quality and cost effectiveness which are needed to be successful in the today's highly competitive world markets.

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 Remote Accounting

The project i-accounting strives to change the currently not satisfying situation of bookkeeping in very small enterprises. Those companies account for 93% of all Undertakings in Austria. The way bookkeeping is done has not changed within the last 100 years. Only the tax accountants were able to improve their situation by the usage of modern accounting software.

Now is the time to make a step forward and use modern telecommunication tools to revolutionise the way bookkeeping is done by external service-providers.

i-accounting brings a leap forward in the efficiency of the bookkeeping itself, the up to date information immediatly available to the companyand an increase in transparency for processes within the company.

Please visit our Website covering the project i-accounting: