Expected profit: 5-20% on the planned maintenance only, but this may be significantly exceeded if the minimising of unexpected down times in production areas is also taken into consideration
Expected cost: 0% if the maintenance tasks performed on the basis of measured data have been connected to external CAFM systems
If the buildings and equipment have an automated management system, their performance, consumption can be measured, and if there is a more serious resonance analysis system installed, then the data arriving from these can be used as the basis of maintenance work. This means that in AC units it may be sufficient to schedule filter replacement on the basis of actual use, which will reduce both labour and materials costs.
A similar or even greater saving can be achieved in the case that, for example, the condition of the production machinery or of auxiliary equipment can be monitored. With a suitable analysis system the obsolescence of these, their predicted faults can be measured and thereby planned, in other words their maintenance can be scheduled before they become faulty. This results in the minimum of unplanned down time. This does not only result in a saving of costs due to better scheduling but also due to the expected smaller volume of maintenance work.
The regular maintenance and opening of equipment does not only increase their operation lifetime, the different types of work performed generally involve risk factors. These fault probabilities are usually characterised with the bathtub curve, which means that the probability of new inputted faults rises when equipment is opened. With condition-dependent maintenance, the number of these “openings” can be minimised, and so the number of inputted faults can also be minimised.