Managers of complex processes aim to reduce energy consumption, to improve control over the quality of their end-product, to make maintenance more accurate, and to improve production yield. When technologies are so complicated and inter-woven, that getting them under control seems daunting DySI can help in understanding them and achieving the desired optimization.
DySI provides support by extracting more intelligence from information-rich dynamical processes by applying the SmartCycle approach. In this approach the business process is monitored broadly, analyzed intelligently and optimized using feed-forward actions. The SmartCycle is the recipe for bringing the complexity of every situation under control.
The SmartCycle approach is always carried out jointly with the customer and starts with an investigation of the current performance and possibilities for improvement. The process and its relevant environment are then monitored during operation. Advanced techniques for exploratory data analysis are subsequently applied to this data in order to generate a model representation of the system. The combination of the monitoring data and the realistic models provides the basis for optimization of the customer´s process or improved design of experiment for new iterations of the SmartCycle.
The Smart Cycle is a step-wise approach that has the following components, starting on the right and moving counter-clockwise:
Monitoring the Customer's Business process
The focus of the Smart Cycle approach is on the need for improving the efficiency of our customer's complex business process. The process is monitored in order to measure the real situation at all times. This is done using data from operational control, existing monitoring tools or by introducing new sensors. Using the latest in sensor technology and communications, complex processes can be widely and accurately sampled.
DySI's expertise in design of experiment (DoE) ensures an optimal monitoring set-up.
Turning data into information
The flow of raw-data needs to be turned into a flow of useful information. This requires constant calibration, validation, comparison, fusion and analysis. We apply business-rules on the flow of information for immediate feed-back to your process.
DySI's expertise in handling complex data ensures a reliable information flow.
Turning information into knowledge
The information is fed into computer models that represent an accurate virtual representation of the customer's dynamic processes. Combining the real-time information flow with accurate (and self-learning) computer models provides the best possible insight and knowledge, on which operational decisions can be based.
DySI's expertise enables the use of complex computer models as powerful tools in the real-time extraction of process knowledge.
Turning knowledge into actions
Thanks to the speed with which data is extracted, analyzed, and combined with models, proposed actions are obtained very fast. This allows us to anticipate changes and thereby steer the process optimally using feed-forward actions.
DySI's focus on the customer's wishes and abilities ensures decision-support that is effective, efficient and spot-on.
The Smart Cycle is an iterative process, where each iteration starts with and builds on knowledge obtained in the previous cycle. The smart cycles can run continuously based on real-time monitoring data.
DySI designs and builds intelligent decision-support systems for a wide range of dynamic processes, from maintenance management of trains, to water management, and from production-chains to in-product intelligence.