No manufacturing operation would ever be capable of existing or being successful in the slightest without the help of their machinery. Properly running machinery is only made possible through the help of maintenance scheduling fitting their needs. This is why it’s imperative for businesses to develop a maintenance strategy that fits the needs of their equipment accordingly. Understanding that each and every piece of equipment will likely need their own unique care, it’s clear that finding the right strategy is going to be difficult. In most cases, maintenance will be split between two approaches: preventive and predictive maintenance. Preventive maintenance has been the standard for manufacturing organizations for some time. This strategy is rather simple: maintenance all pieces of equipment at set time intervals. For most organizations, this depends on the current statuses of their different pieces of equipment and the age of these pieces of equipment. Predictive maintenance, on the other hand, is a much more dynamic approach. This strategy uses real time data collected from a fleet’s equipment to determine the most optimal maintenance schedule. With more accurate reporting, comes more accurate insight into what is causing a piece of equipment troubles. Identifying this trouble makes mitigating the risk of failure much more likely for these organizations, which can lead to decreased down-time for any piece of equipment. That said, deciding between which maintenance approach is right for any piece of equipment can be difficult. To learn more about which approach might best suit your organization’s equipment, read on to the infographic included alongside this post.
Low Or No Maintenance Industrial Machinery provided by FLEXIM, an organization offering an industry leading flowmeter for steam