Industrial plants are considered to be under control as long as they are producing.
In practice, this control is often measured by the stability of production. From a systemic perspective, however, this can conceal relevant risks.
After all, performance is not the same as control.
Machines can work stably for years, even though their behavior is not completely transparent or structurally defined. The origin often lies in commissioning: under deadline pressure, assumptions are adjusted, logic is added and deviations are compensated for. Stability is often created by experienced employees who compensate for ambiguities, close integration gaps and continuously adapt systems. This works - but only up to a certain point.
It becomes critical during conversions, expansions, disruptions, shutdowns or regulatory audits. This is when it becomes clear whether the behavior of a system is clearly described, states are identifiable and reactions to deviations are predictable. If this transparency is lacking, costs, effort, risk and dependency on individuals increase.
Current developments also underline this challenge: in the DACH region, falling capacity utilization figures and fluctuating production hours indicate an increasing problem of downtime and idling. Capacity utilization in the German mechanical engineering sector has been around 79% in recent years. (Source statista)
With increasing networking, digitalization and regulatory requirements such as the EU Machinery Regulation, there is growing pressure on companies not only to operate their systems, but also to understand them structurally. Performance alone is no longer enough.
"A system is not under control just because it is running. It is under control when its behavior is clearly defined and comprehensibly described. With our solution, we enable companies to operate their production systems as transparent, controllable assets." - DI DI(FH) Markus Gruber, founder and CEO, Selmo Technology GmbH
The key management question is therefore not whether systems perform, but whether their behavior can be fully understood and described in a reproducible way. In complex environments, performance can conceal structural weaknesses for a long time until an unexpected event makes them visible.
This is precisely where Selmo Technology GmbH comes in: By defining machine behavior upstream, states, processes and reactions are explicitly described, making them MVO-compliant, transparent, testable and accountable.
Control and transparent machine control is therefore not an operational coincidence.
It is a conscious management decision.
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