As the trend toward the Industrial Internet of Things (IIoT) continues, manufacturers are gaining access to massive amounts of machine and sensor data. Being able to intelligently collect, filter, process, and make decisions from this data all fall under the realm of manufacturing intelligence.
In the trivial case, applications of manufacturing intelligence include reports and dashboards that make actionable Key Performance Indicators (KPIs) like Overall Equipment Effectiveness (OEE) available to decision makers at the appropriate time. This level of analysis, while important, requires human intervention and is limited to describing what happened in the past.
Where manufacturing intelligence really begins to show value is in moving beyond the traditional descriptive and diagnostic uses of data into predictive and prescriptive analytics. When applied correctly, manufacturing intelligence can be used to predict when process variables are trending outside of safe limits or when equipment is likely to fail. Corrective action can be taken before a problem occurs, often without human intervention, which reduces scrap, labor, and the potential for human error.
While the benefits are certainly clear, developing a mature manufacturing intelligence strategy presents a number of challenges. Understanding how to identify important data, capture it, visualize it, and make decisions from it in a robust, scalable way requires a significant time investment and breadth of knowledge across various technologies. Without proper discipline, manufacturing intelligence projects tend to be executed as point solutions, which present huge problems for maintenance and scalability down the road.
As a full-service solution provider, Grantek leverages our three decades of experience and thought leadership across various industry sectors to develop scalable manufacturing intelligence solutions for our customers. These solutions span a number of different technologies, ranging from “shop floor to the boardroom,” and include the following services:
- Identifying actionable data across all of your machines and devices, based on intimate knowledge of the manufacturing process
- Defining system performance requirements, such as sampling intervals and data throughput
- Delivering robust, fault-tolerant network infrastructure to ensure optimal connectivity
- Architecting data storage solutions that properly account for redundancy, archiving, replication, and regulatory requirements
- Building intuitive reports and dashboards to make actionable data available to key decision makers across your organization
- Developing secure, scalable data conduits to interface with plant-floor, quality, LIMS, MES/MOM, ERP, and other controls and business systems
For decades, best-in-class manufacturers have looked to Grantek to help them on their manufacturing intelligence journeys. Give us a call to see how we can help you.