The OEE is an important tool for management that provides information on how productive a machine or system actually is in production. This metric was developed in Japan by the Japan Institute of Plant Maintenance. Many entrepreneurs are usually convinced that the availability and effectiveness of their machine / system is very good as a result. The OEE (Overall Equipment Efficiency) key figure provides information about the overall performance of a machine / system at a glance. This value is between 0% and 100%. Three factors are used to determine the overall efficiency effectiveness. The availability factor, the performance factor and the quality factor. All three factors are multiplied together and then result in the key figure for the overall system effectiveness. And this is an important number for capacity planning and the analysis of how economical a system / machine really is.
About OEE –
In the case of downtime, the OEE planned maintenance should also be included, except if this is carried out outside the planned period, for example on Saturday. A maintenance plan can help with this. Set-up times should also be included in OEE, as well as waiting times due to a lack of material. In order to recognize progress here, the management should define a key figure for a KPI in order to recognize how positively the equipment is developing in terms of availability. The calculated cycle time is the time that the work planner OEE or the ref a department has determined as the so-called piece time. At the time of determination, it is the most ideal time in which the work piece can be produced.
Machine Running –
The machine running time in OEE is the time that the machine runs to produce the production lot. The machine running time is the time in which the entire production lot was produced. Now the calculated cycle time is multiplied by the quantity produced. Then this time is divided by the running time of the machine. And that multiplied by 100, you get what% of the running time the machine is actually producing.
Total System Availability –
It is because in order to be able to carry out a correct calculation, OEE you need reliable current data from production and reliable master data from the ERP. In the first step, we consider how many parts of which product are in stock for a period of time to be evaluated (e.g. a working week) having been delivered. Multiplied by the specified or planned times results in the total system availability in OEE for the corresponding period and in the example that would be 61.845%. How does this come about now? This loss of performance would be catastrophic, so let us look at the quality factor first.
Analysis of Production Order –
An analysis is created of all production orders for the period to be evaluated in OEE. And, receive the good and bad parts from quality control. But the calculated factor is not enough, now it is necessary to determine why parts were rejected in the quality control. We also receive a list of how many and because of which deviations have been sorted out. Now it is time to analyze why there were deviations which is OEE Kennzahl. It is advisable to involve the employees. For example, use different tools or a different order of processing. The aim must be to get this factor very close to 100% in OEE.
Transparency Awareness –
This transparency raises awareness of the need to pay more attention to typical things during production in OEE. It is advisable to involve the employees. In order to develop solutions as to how the deviations can be prevented in the future. For example, use different tools or a different order of processing. The aim must be to get this factor very close to 100%. This transparency raises awareness of the need to pay more attention to typical things during production
Conclusion –
And so the calculation of the availability factor and the power factor is child’s play. If then also include the quality assurance data, can easily and automatically calculate the Overall Equipment Efficiency important tools. But not only that, people even receive information about where a defect that can lead to the failure of the machine is looming and can counteract this before a standstill or bad parts occur. This is far more effective than the best maintenance plan.
