In today's technologically advanced world, companies are increasingly using artificial intelligence (AI) to improve their maintenance operations through CMMS solutions. The convergence of AI and CMMS is creating a dynamic synergy that is revolutionising the way companies operate.

AI is good at pattern recognition. As things stand, its teamwork with the CMMS makes it possible to :

Collecting information from sensors
Monitor data to detect anomalies and failures
Report anomalies so that employees can take corrective action

Anomalies are anything outside the system's recognised and acceptable operating parameters.

So, for example, air quality at a certain level may constitute an anomaly. The same applies to a machine failure or inefficient operation.

How can AI be useful for CMMS solutions?

According to a Gartner article, 70% of captured manufacturing data remains unused due to a number of complexities. Having unused data leaves a CMMS system under-utilised and unable to reach its full operational potential.

Par exemple, son utilistion permet aux entreprises de comprendre ces grandes quantités de données de maintenance, de prédire ainsi les défaillances des équipements et d optimiser leur utilisation. Cette approche de la maintenance prédictive aide les entreprises à passer de stratégies réactives à des stratégies proactives, en réduisant les pannes inattendues et en maximisant le temps de fonctionnement des équipements. Un avantage qui represente a lui seul des economies significatives.

Another advantage of AI is that it can provide invaluable assistance with maintenance planning if it is coupled with monitoring (continuous observation) of equipment. It can also be used to raise alarms in the event of a malfunction.

This use of predictive maintenance is of considerable benefit to maintenance teams. So by combining the two tools (AI and CMMS) to ensure this management, companies can expect to greatly limit their losses and maximise profits.


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