Kit media
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 to anticipate for French companies, they are turning to predictive maintenance. They even believe that this technology, which uses data to anticipate future problems on equipment, will be the norm in 10 years. For example, nearly 57% of companies that use predictive maintenance tools use them for their machines, according to a OnePoll study for reichelt elektronik, one of the largest online electronics distributors in Europe.
Reichelt elektronik has provided an overview of the level of maturity of companies with regard to predictive maintenance. Leading the 4.0 industry, predictive maintenance is already well integrated into industrial production processes: 43% of users surveyed have already integrated predictive maintenance technologies into all of their production machines. Other companies had to upgrade, with 16% of them modernizing some machines, while 41% had to completely overhaul their fleets to incorporate sensor or network technologies.
Anticipating to ensure production and reduce costs
For regular users, using predictive maintenance can anticipate future problems on a machine, allowing 37% of respondents to avoid production shutdowns. For example, businesses (37%) increased efficiency in their production, which ensures cost reduction and considerable time savings, which are essential factors to consider in the current context. Almost one-third of respondents (32%) also note team relief as some tasks are now supported by predictive maintenance tools. Temperature (48%), operating time (45%) and speed of rotation (41%) are the most commonly measured indicators, and can be used by teams to undertake maintenance actions.
Respondents who have recently used these tools or are considering integrating them consider limiting production losses and machine shutdowns (39%) motivation for their integration. Employees are also at the centre of the organizations' interests, as the considerable time savings for the teams (35%) and the contribution of a better overview of maintenance activities (32%) are part of the expectations of companies when implementing these tools. Finally, 36% of respondents believe that this technology allows them to avoid unnecessary replacement of components, a finding that can be explained by the transition from preventive maintenance to predictive maintenance.
A standard in the making despite constraints
However, integrating predictive maintenance is not easy for all businesses. For example, more than one-third (32%) of organizations that have recently implemented these tools or wish to use them to find it difficult to choose the right products from all the offerings. In addition, almost one-third (29%) have budgetary constraints respondents who, hit by the crisis, find themselves limited in their investments.
Despite these challenges, 63% of companies that do not use predictive maintenance technologies are still planning to integrate soon, with 19% of them in the next 12 months, and 44% from next year. These figures symbolize the rise of this technology in the years to come, with companies accelerating their digital transformation since the beginning of the pandemic crisis. Thus, AI and the use of data provided by sensors on machines should be the norm in 10 years, if the announced investments materialize.
Survey: The figures were collected by the international polling institute OnePoll for reichelt elektronik and include 1,550 European tech decision-makers, including 250 in France.
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www.reichelt.fr
