Industry

Study of defects and product optimisation

We analyze your production data to highlight causes of variations (example: a reject rate creating a handicap). Once your production line is modelled, you can vary the settings to observe their influence on target variables: reject rate, product quality, production time, etc. You are, therefore, able to make the right adjustment choices among the often numerous and highly correlated settings, whose influence and relation to production was previously unknown to you.

Operational safety, security and control of industrial risks

A few applications

• Modeling and simulation of dynamic systems Optimisation of the maintenance strategies of a complex industrial process, through a dynamic bayesian network.

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