According to the latest survey by reichelt elektronik and OnePoll, 75 % of French technology decision-makers use predictive maintenance for their production.
As the pandemic accelerates the need for French companies to think ahead, they are turning to predictive maintenance. They even believe that this technology, which uses data to anticipate future problems with equipment, will be the norm in 10 years' time. According to a OnePoll study for reichelt elektronik, one of Europe's largest online electronics distributors, nearly 57 % of companies use predictive maintenance tools for their machines.
Reichelt elektronik has carried out a survey of companies' level of maturity with regard to predictive maintenance. Spearheading Industry 4.0, predictive maintenance is already well integrated into industrial production processes: 43% of the users surveyed have already integrated predictive maintenance technologies into all their production machines. Other companies have had to upgrade, as 16 % of them have modernized certain machines, while 41 % have had to completely overhaul their fleet to integrate sensor or network technologies.
Anticipate to ensure production and reduce costs
For regular users, using predictive maintenance enables them to anticipate future problems on a machine, enabling 37 % of respondents to avoid production stoppages. As a result, companies (37 %) are observing greater efficiency in their production, guaranteeing cost reductions and considerable time savings, essential factors to consider in the current context. Nearly a third of respondents (32 %) also noted that teams were relieved, as certain tasks are now handled by predictive maintenance tools. Temperature (48 %), operating time (45 %) and rotation speed (41 %) are the most commonly measured indicators, and can be used by teams to undertake maintenance actions.
The companies surveyed that have recently implemented these tools, or are planning to do so, see the reduction of production losses and machine downtime (39 %) as a real motivation for their integration. Employees are also at the heart of the organizations' interests, since considerable time savings for teams (35 %), and the provision of a better overview of maintenance activities (32 %) are among the expectations of companies when implementing these tools. Finally, 36 % of respondents believe that this technology enables them to avoid unnecessary replacement of components, a finding that can be explained by the shift from preventive to predictive maintenance.
A standard in the making despite constraints
However, integrating predictive maintenance is not easy for all companies. More than a third (32 %) of organizations that have recently implemented these tools or wish to use them find it difficult to choose the right products from among all the offerings. Added to this are budgetary constraints for almost a third (29 %) of respondents who, hit by the economic crisis, find themselves limited in their investments.
Despite these difficulties, 63 % of companies not using predictive maintenance technologies are nevertheless planning to integrate them soon, with 19 % of them within the next 12 months, and 44 % from next year onwards. These figures symbolize the growth of this technology in the coming years, with companies accelerating their digital transformation since the onset of the pandemic crisis. As a result, AI and the use of data provided by sensors on machines should represent the norm in 10 years' time, if the announced investments materialize.
Survey: the figures were gathered by the international polling institute OnePoll for reichelt elektronik and include 1,550 European decision-makers in the Tech sector, including 250 in France.
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