OEE Analytics

Data-based equipment analysis

Plant operators probably know these questions: Machines are sometimes down – but why? Production could go faster – but how? Junk should be minimized or avoided altogether – but how do I achieve this? In all cases the answer is the same: overall equipment effectiveness, or OEE. You can easily take advantage of these indicators using our OEE Analytics service offering. As providers of a managed service, we support you from the design and implementation phases to analysis of the data.

Are you having questions about our offering? Our experts are here to assist you!

Implementation in the company From the assessment at your site to data analytics and derivation of specific recommended actions: Here is how OEE Analytics in practice.

1. Concept definition and MindSphere Connectivity

Data acquisition and a connection to the cloud are designed according to the specific structure of your equipment and plant. Once the necessary hardware and software have been installed in your system, the data is quickly and securely transferred to MindSphere, the cloud-based, open IoT operating system.

2. OEE Visualization from production line to machine level

The analysis begins with data processing to match the data to your company's KPIs. The machine data is then assigned to the OEE Monitor MindApp so that you can view all relevant data on the OEE Dashboard, including the performance, availability, and quality of a machine or line over a specified time period.

3. Expert Analytics for OEE diagnostics

OEE trend analysis and comparisons with similar equipment over time yield clear recommendations for increasing OEE value at the machine or line level. You perform the recommended actions by implementing modernization and retrofit measures.

At a glance With OEE Analytics you can detect inefficient production areas. With more transparency and effective measures you will be able to systematically increase productivity.