Despite increasing automation and the associated data flood the causes of errors in the manufacturing process are often left in the dark. Correlations, influence of process parameters on quality product defect or disturbance patterns on machines are hardly recognizable with standard reporting. The Visual DataXplorer is a novel analytical tool to find the causes of errors even in complex production environments rapidly.
The Visual DataXplorer is tailored to the needs of process engineers. It fills the gap between business intelligence software and complex statistical software: rapid visual data analysis with inclusion of the necessary algorithms, user friendly and open to the profound knowledge of experienced process engineers.
The Visual DataXplorer is tailored to the needs of process engineers. It fills the gap between business intelligence software and complex statistical software: rapid visual data analysis with inclusion of the necessary algorithms, user friendly and open to the profound knowledge of experienced process engineers.
The Visual DataXplorer offers a comprehensible selection of algorithms that are especially suitable for production analysis. Through an intuitive user interface, different evaluation methods can be applied and combined. Visualization techniques enable the representation of multidimensional results on 2D screens. Depending on the detected interactions analysis process is guided step by step.
Successful analyzes require a sufficient amount of suitable data. With the DataBridge, we have a communication system that brings together data from disparate systems automatically – in real time.
Successful analyzes require a sufficient amount of suitable data. With the DataBridge, we have a communication system that brings together data from disparate systems automatically – in real time.
At least as useful as the analysis of historical data is a permanent early warning monitoring in production. Upon the occurrence of a critical process constellation immediate actions can be triggered and thus subsequent errors may be avoided.
We’ll happily provide with more detailed information and present you the possibilities with the Visual DataXplorer. Please contact us.