While many manufacturers believe that predictive maintenance is the proper strategy for their equipment, there are barriers to entry that first must be respected. Predictive maintenance requires investment in equipment and infrastructure, such as various industrial sensors. While these sensors are capable of monitoring equipment to the level of understanding that they can predict failure, they come at a steep cost. Similarly, in order to ensure these technologies work properly, data analytics software and the personnel necessary to utilize it and support these tasks will be required. So, while considering the costs associated with this maintenance approach, it’s important to remember every element. While it’s clear that the goal of these investments is to offset costs and increase profit, there are plenty of considerations to be made throughout the process. Interested in learning more about the predictive maintenance strategy and understanding the differences and similarities between preventive and predictive maintenance? Take a moment to read through the resource accompanying this post to decide on the right approach for your business.