Any manufacturing or industrial organization understands that in order to be successful in the long-term, having an optimized maintenance strategy is essential. Unfortunately, as they’ve also realized, no two operations are the same; meaning the maintenance needs of every organization are going to be different. There will be no one-size-fits-all solution for any organization. As such, many organizations tend to follow a preventive maintenance approach. This method of maintenance is one that prioritizes maintenance in individualized scheduled intervals for each piece of operating equipment. While this method is costly, it ensures that equipment is being maintained regularly and as a result can reduce the likelihood of unexpected equipment failure. Many organizations have moved on from their traditional preventive maintenance measures, however, and on to a more innovative predictive maintenance strategy. These strategies, with the help of artificial intelligence, allow machinery to speak for itself. Through output data analysis, organizations can better predict the maintenance necessary for a piece of equipment and understand the ways in which equipment can be further optimized. These low or-no maintenance industrial innovations are making way for more effective maintenance strategies across a number of industries. To learn more about the ways in which this is being accomplished, check out the infographic supported alongside this post.