The SVP600 Visualization Platform from SICK enables real-time monitoring of the complex interaction of all processes across all hubs of an organisation all the way down to monitoring of individual facilities equipped with any auto ID technology including laser, camera or RFID.
Data mining is a key technique of business intelligence that aggregates data, and restructures and analyses it from a vast range of different perspectives to identify recurring patterns, regularities, anomalies, and dependencies. The SVP600 is a tool that makes it possible to use these established methods and techniques for logistics processes.
SVP600 offers cross-corporate technical monitoring of all auto ID facilities in a transparent manner. The analysis and evaluation functions in the software provide information about the complex interaction of upstream and downstream processes along the entire process chain.
The SVP600 Visualization Platform from SICK opens up unparalleled optimisation potential, especially in courier, express and parcel services among other logistics services that have to contend with increasingly dynamic markets. In addition to increasing volumes and speeds, complexities from varying package sizes, shapes and materials as well as parameters in detection, identification, verification and measurement processes, and pricing schemes are on the rise.
SVP600’s real-time monitoring capability allows enterprises to take comprehensive snapshots of the performance and state of their logistics processes. System operators can visualise, for example, the flow of parcels through a camera tunnel or see whether performance has dropped below a definable performance limit for the tunnel. SVP600 delivers all of the benefits of conventional process visualisation, going far beyond by providing statistics and evaluations to offer entirely new perspectives on the extensive data material contained in the databases.
The efficient auto ID systems from SICK with their full-scale functionality generate far more information than just ‘Fail’ or ‘Pass+ID data’ during code-reading. The additional data includes images with various compression rates as well as position, orientation, speed, distance, and 2D/3D contour information. Based on this data, it is possible for instance, to classify the code quality for each individual label on a scale of 1-100%, resulting in more reliable business decisions.
SVP600 data can also be used to analyse what-if scenarios with the analyses serving as a solid basis for more effective decisions concerning aspects such as load balancing and distribution, and optimisation of capacity utilisation along timelines or under peak load. By the same token, SVP600 can contribute valuable, systematically analysed and compiled information for cost-benefit analyses that support organisations in making the right strategic decisions.
SVP600 aggregates and correlates the data captured by intelligent sensors on an ongoing basis to make them valuable beyond mere control tasks, opening up entirely new perspectives on the data material by identifying their relevance to process chains. For instance, data analysis can help track errors, their frequency and degree of severity as well as the specific conditions in which they occurred, in addition to the correlations between specific errors at specific facilities.
SVP600 greatly extends the functionality of auto ID systems, offering logistics service providers entirely new opportunities to adapt their processes flexibly to dynamic markets, and helping to turn sensor intelligence into business intelligence.