Why you need an OEE dashboard?

Calculating and monitoring OEE(Overall Equipment Efficiency) in a dashboard at all different levels such as machine, supervisor, department, and shop level can get complicated. Especially if you’re running manual time studies and recording on paper.

Shops with many machines would need a small army of monitors to keep track of uptime and downtime as operators are focused on performing their tasks. And then the math would need to be aggregated and updated regularly.

SCADA systems can have some functionality built in to report on OEE dashboards. But these systems aren’t designed with end-users in mind. As a result, configuring simple dashboards can be enormously complicated.

Digital dashboards and BI solutions provide a middle ground, eliminating the burden of collecting and analyzing OEE data by hand without the complexity of monolithic systems. 

By letting you connect data streams to visualizations without having to write any code, digital dashboards transform the way you measure OEE.

Ultimately, OEE’s value is diagnostic. In other words, it gives you an overview of the various factors that contribute to operational efficiency. To get the most out of OEE, you need to combine it with other metrics. 

Additionally it is very important to have daily and weekly meetings of operations and maintenance departments to identify the root cause of the main issues o deviation parameters. Improving your OEE can help you to decrease directly the production cost and increase the quality.

OEE over time

Dashboards can display OEE data on a real-time, daily, quarterly, or other cadences. This lets you see if there are any persistent problem areas, and can help you track whether or not your improvements are making a difference. When you combine time data with machine type, machine OEE by type, or by program, you can get a detailed view of production. 

OEE with other analytics

Dashboards let you place different types of data side-by-side, making new insights possible. For example, you could display paretos next to OEE to see the most common causes of downtimes and quality defects together. You could also place OEE next to a performance tracker to view goals, track shift progress, and gather insights into data for reporting and informed decision-making.

OEE with human centric data

Often, low OEE isn’t a result of poor machine performance. It’s a result of human activity around a machine, OEE dashboards can help you gather downtime reasons, changeover times, tool status, and other human-centric metrics to help you determine the root cause of low efficiency.

(Source: Tulip and Silcon Expertise)

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