Manufacturers construct a machine according to the customer's specifications and then commission it together with the customer on site. When the machine is officially accepted, the customer and the machine operator are theoretically solely responsible for the machine from that point on. However, modern machines are very complex - both in construction and later in operation. If something does not work as it should, good and sensible solutions must be found.
Due to the complexity of today's machines, problems nevertheless often await after handover - namely when the machine does not function as planned: If, for example, the planned output is not achieved immediately or the quality is lower than expected, in this scenario the discussion usually begins about who is to blame and can be held responsible. In such a situation, the machine manufacturer may refer to the handover that took place, where everything worked without a hitch. The machine operator, on the other hand, will argue that not everything could be tested at the time of handover or acceptance, which is necessary for the operation of the machine over a long period of time.
Common goals in view
After all, some problems only occur after 1-2 months of continuous operation. This may be due to incorrect operation of the machine, a fault in the design or the installed components, and much more. But - whatever it is: it leads to dissatisfaction. And since the machine manufacturer has no records and data on how the operator actually runs his machine , the basis for finding a collaborative solution is usually not there.
However, digitalisation, predictive maintenance and condition monitoring have the potential to fundamentally change this issue for the better.
Through them, the conditions of the important components of a machine are recorded in a targeted manner and permanently evaluated. The data collected in this way can be used jointly - provided the machine operator agrees - to bring the performance of a machine to a desired level, for example. At the same time, this reduces the warranty costs for the machine manufacturer and the machine operator can achieve the planned output more quickly with the machine. Both sides benefit from this: customer satisfaction increases and, under certain circumstances, important findings for improving the next generation of machines can be derived from the process. Ideas worth thinking about. You can find more information here: www.senzoro.ai
Author: DI. Mag. Markus Loinig
Email: markus@senzoro.com
