{"id":2929,"date":"2019-12-16T09:00:13","date_gmt":"2019-12-16T09:00:13","guid":{"rendered":"https:\/\/tecnologiaparalaindustria.com\/?p=2929"},"modified":"2025-07-22T11:58:16","modified_gmt":"2025-07-22T11:58:16","slug":"es-tan-bueno-tu-programa-de-mantenimiento-predictivo-como-deberia","status":"publish","type":"post","link":"https:\/\/tecnologiaparalaindustria.com\/en\/es-tan-bueno-tu-programa-de-mantenimiento-predictivo-como-deberia\/","title":{"rendered":"Is your predictive maintenance programme as good as it should be?"},"content":{"rendered":"

Is your predictive maintenance programme as good as it should be? Predictive maintenance is a constantly evolving strategy, with new technologies and integration tools constantly looking for a way to position themselves in the various branches of predictive maintenance.<\/span><\/p>\n

It is true that right now some maintenance managers have some kind of predictive maintenance programme in their plant, although it is true that the application of predictive maintenance in the plant is not always easy. <\/span>predictive maintenance tools<\/b> vary considerably from plant to plant. Many tell us that their <\/span>predictive maintenance programmes<\/b> The surprising thing is that there is still a group of maintenance engineers, responsible for major industrial facilities, who do not currently plan to incorporate predictive tools in their plant.<\/span><\/p>\n

A predictive maintenance programme works well with the right leadership, and there are well-established precedents for its success, including ROI, safety, financial and operational benefits.<\/div>\n

A survey conducted by <\/span>Plant Services<\/b> to its readers, mainly industrial maintenance managers and managers, notes that more than half of its respondents (57%) said that maintenance managers are involved in predictive maintenance decisions, while 48% said that plant managers are involved.<\/span><\/p>\n

In that survey, only 21% said that corporate executives are responsible for decision making in the predictive maintenance programme, possibly suggesting a lack of commitment to what happens on a daily basis on the shop floor or to the data generated through the predictive maintenance programme.<\/span><\/p>\n

When asked which of the <\/span>predictive maintenance technologies<\/b><\/a> have developed in their plants, showed that the <\/span>predictive technologies<\/b><\/a> infrared, lubricant analysis, and vibration analysis top the list. This is not surprising, given the attention these technologies have received in recent years and the high return on investment they offer.<\/span><\/p>\n

Predictive modelling software is on the radar of maintenance managers; a quarter of readers plan to implement it in their plants within the next three years.<\/span><\/p>\n

When considering motivations for implementing predictive maintenance technologies, the top factors, according to respondents, included:<\/span><\/p>\n