Enhanced OEE

Challenges

Companies work towards improving production transparency and performance measurement. Overall equipment effectiveness (OEE) is a commonly used, standard metric at manufacturing companies.

Data measuring and evaluation for OEE calculation is not a trivial task. Typically for brownfield investments, implementing a smart solution for previously installed robust and expensive machines is a difficult task. Connecting existing sensors to the network, installing new sensors and the integration of all these measured data into the MES system takes several years, not to mention the substantial costs.

Basic concept

However, performance monitoring systems need only one information about the manufacturing machine: is it working or not? This information is especially not that obvious when these machines are filled and emptied by people, so the loading of semi-finished products and finished goods requires human resources. The Sunstone platform solves this problem based on position and vibration data.

The Sunstone platform provides a solution to compute availability, a key parameter of OEE. As a practical matter, this involves measuring the assembly cycles and machine downtime.

Solution

Measured data is divided into two main groups:

  • based on position
  • based on acceleration

In this case, TAGs are typically fixed to semi-finished products to track them through the whole production process. That will provide information about how much time each product has spent at a particular station.

By analyzing the acceleration (vibration) data of TAGs that are typically placed on manufacturing machines, it can be shown that the given device is working or not. However, it’s important that the design of these measurements are always depend on the current machine.