What if your operators could see how a machine is performing against key performance indicators (KPIs) just by pointing a phone at it?
Or what if you could be alerted before a production line produces quality defects?
These aren’t future or theoretical scenarios to ponder. Industrial companies have long struggled to understand performance within and across factories. And for those challenges, enterprise operational intelligence is the path forward. It’s a way to create consistent KPIs across the products, lines, factories, systems and shifts.
These new industrial IoT solutions can help workers at any level of your organization better track production performance. And they can help you cut your operating costs and improve your results in areas like asset utilization, production efficiency, workforce performance and energy usage.
Clear Insights From Complex Environments
Many companies think the major hurdle to enterprise operational intelligence is the diverse ecosystem of different technologies from different vendors that today exists in most production facilities. Unifying the data from these disparate assets to understand production performance is a complex job, often requiring the special skills of someone like an IT professional.
And usually, after data is brought together, only basic KPI reporting is possible.
Plant managers and production supervisors, for instance, may get weekly or monthly reports. But the reports only provide a snapshot in time. They don’t allow workers to see how a line, machine or plant is performing in real time. They also don’t allow workers to drill down into data to find the root cause of yield, quality or energy issues.
Enterprise operational intelligence solution drastically improves how you monitor production performance in your facilities.
By unifying data from your installed base of different devices, assets and systems, the solution provides real-time monitoring of your KPIs. These insights are consistent across plants, shifts and products. And they can be customized, so different workers can see – and react to – only the KPIs that are relevant to them.