Process Analytics White Paper
The white paper, “Process Analytics Finds Process Problems,” (pdf), published by Canary Labs describes how companies can gain great insight into how their process operates, find problems, and improve quality by using process analytical software.
Who are they?
Since 1985, Canary Labs has been focused on delivering best in class historian trending tools and solutions on a global scale. Their client base has grown since their inception, to over 10,000 implementations in over 24 countries around the world. They believe their success is driven by their focus on developing their solutions from the end user’s perspective, with scale in mind. their Trend Viewer is the viewer of choice for our clients across all industries due to the flexibility and control provided at the end user level without the need to involve IT. Large enterprises have come to rely on Canary Labs’ scalable architecture and performance, enabling our clients to collect 100,000+ tags at millisecond intervals utilizing the smallest hardware requirements in the industry.
Process Analytics and Intelligence—sometimes called Manufacturing Intelligence—has transformed the way companies produce goods, understand their manufacturing processes, and ensure a quality product in ways we could not have foreseen ten years ago.
Today, best in class manufacturers use large volumes of real-time process data, generally stored in a process historian, as the foundation to drive real-time analytics and dashboards which improve their ability to detect and react to process bottlenecks or quality issues. In many cases, real-time analytics have replaced the legacy concept of running reports. Reports that represent a static picture of a process at a fixed point in time are great tools for compliance audits and long term warranty analysis. However, they may not accurately represent the “as-is” state of a process.
With many reports, the end consumer is often expected to know how to interpret the data and has a limited ability to drill-down and view data by a subcategory or sub-classification. Analytics, on the other hand, are generally used to summarize and further dissect the data in forms that require minimal input from the user. Instead of users having to interpret the data, it’s presented in graphical form enabling them to more easily drill down to explore the data and draw a conclusion based on real-time information.
Real-time Process Analytics and Intelligence has the potential to expose a significantly greater amount of process data than traditional reporting is capable of delivering. Reports that provide data to knowledgeable users allows them to interpret and draw conclusions from the data based on their domain knowledge and understanding of the process. However, these reports may not be the best vehicle to deliver information to the majority of company personnel. Real-time analytics helps to bring process issues into focus. While graphical analytics may not answer all the questions, they help to expand the understanding of the issues behind the data.