Equipment maintenance is often difficult to forecast. Many times, through a predictive maintenance approach, organizations will prioritize upkeep on their equipment at set intervals throughout the year. This method is one that understands and considers that certain equipment will require more maintenance than others throughout the year, so this is planned for accordingly. While this is effective at potentially curbing unexpected issues before they can occur, this method is much less cost effective than businesses would like. That said, it is effective. Understanding the difficulty of forecasting equipment failure, additional smart technologies have been developed and integrated into equipment to strengthen the predictive maintenance method that many organizations utilize. Predictive maintenance is a strategy that uses internet of things technologies to read and understand equipment in an analytical way so that a proper and individualized maintenance strategy timeline can be developed for each piece of equipment. What’s more, these technologies, while requiring a strong initial investment, are cheaper over time than the preventive maintenance strategy discussed previously. Identifying the right maintenance strategy for any organization can be difficult, but with the help of the information found in the resource coupled alongside this post, manufacturing organizations can better understand what option might be right for them.