Overall Equipment Effectiveness (OEE) in Manufacturing

In manufacturing, Overall Equipment Effectiveness (OEE) is a KPI that represents the overall productivity of a machine. OEE compares the performance of a machine to its relative capacity, resulting in a score metric for a specific scheduled run. Manufacturers generally consider OEE to be one of the most critical measurements to gauge the efficiency of machines and industrial equipment. 

What is an OEE Dashboard?

An OEE Dashboard is a production visibility tool that displays real-time OEE scores in a public, easy-to-understand visual format. 

These manufacturing dashboards aggregate OEE calculations across the shop floor and provide relevant analytics (like downtime reason and first pass yield) to monitor and improve the performance in your operations.

Image of an OEE dashboard showing OEE by machine for a full fleet
OEE Dashboards let you understand your machine operations at a glance

Dashboards for one machine, Dashboards for the whole shop

Typically, OEE is measured at a few levels.

  1. The machine level
  2. The department level
  3. The shop level

OEE dashboards can be as granular (single machine) or as holistic (full machine shop) as you like. The purpose of any manufacturing dashboard is to help you put production in context by making performance data available at a glance.

Displaying OEE for a single machine

Measuring OEE at the machine level provides insight into the specific utilization and efficiency of a machine. If you are implementing changes in your process, machine level monitoring of OEE can provide valuable insight into bottlenecks and efficiencies. 

An image of an OEE drill-down screen for a single machine
Drill-down to learn more about how individual machines fair

Displaying OEE for the whole shop

Measuring OEE at the shop level provides a comprehensive view of your entire operation, returning a single value to summarize all of your individual machine OEE metrics. This is a useful tool for measuring the overall productivity of your shop, as well as for identifying bottlenecks.

Why you need an OEE dashboard

Calculating and monitoring OEE in a dashboard at these different levels can get complicated. Especially if you’re running manual time studies and recording on paper. 

An image of a shopfloor schematic with machine state and OEE displayed over each machine
OEE dashboards can help you identify problem machines or problem cells early

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.

MES and 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.

No code digital dashboards 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.

Putting OEE in context

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. 

Here are some of the ways that OEE dashboards let you put machine performance in context.

OEE over time

Dashboards can display OEE data on a real-time, daily, quarterly or other cadence. 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. 

Image of an OEE dashboard showing OEE over time
You can configure your dashboards to show you OEE and machine state over time

OEE with other analytics

Dashboards let you place different types of data side-by-side, making new insights possible. For example, you could display Pareto charts 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. Also known as Overall Process Effectiveness (OPE), 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 OEE.

Getting Started with OEE Dashboards

Tulip’s no code platform makes getting started with OEE dashboards simple. Our machine shop bundle includes all of the applications you need to display meaningful machine data out of the box. 

If you’re interested in building your own OEE dashboard, you can get started with a free trial of Tulip here.