All manufacturing operations around the world have one thing in common: without a proper maintenance strategy, their organizations would fail. Two of the major strategies for maintaining equipment in these operations are preventive and predictive maintenance. While they both provide quality care to equipment, they are fundamentally different in nature.
Preventive maintenance has reigned over the manufacturing industry for some time now. This strategy is founded on a calendar driven maintenance approach, meaning performing maintenance on all pieces of equipment in a fleet at set intervals throughout the year. In most cases, these intervals are based on age and overall run time of any piece of equipment. The older and more time spent running, the more frequent the maintenance intervals for example. The opposite could be said of a younger, less ran machine.
Predictive maintenance, on the other hand, is a much more dynamic approach that manufacturing organizations have been taking in recent years. This strategy uses real time data collected from a fleet’s equipment to determine the most optimal maintenance schedule. Unlike preventive maintenance, this would mean that certain pieces of equipment wouldn’t need such regular maintenance compared to the rest of a fleet. Maintaining this equipment as needed is much more effective, but the downside of these systems are the exuberant costs associated with their implementation.
While the costs to implement these systems are high, the actual implementation has never been easier. As more and more pieces of equipment find their way into the Internet of Things, the easier it becomes to more accurately track all pieces of equipment connected. The information that is able to be collected in real time as a result of these systems are what make it easier to predict the optimal maintenance period for a certain piece of equipment. For example, the performance data, surrounding temperature, or any other indicator of a machine may give managers a better idea of when this piece of equipment will require maintenance. This, in turn, leads to an increase in efficiency and less down time for organizations most important pieces of equipment.
For any organization considering a change in maintenance approaches, it’s important to note that, despite its benefits, predictive maintenance might not always be the best fit for your business. Even with the best maintenance strategy, you will still encounter some form of unplanned downtime. Despite most organizations believing predictive maintenance is the better choice, the barriers to entry can likely keep a number of businesses from utilizing this strategy. Not only can cost become an issue, but the highly advanced technological systems required to operate these systems can also prove to be a challenge for staff.
For more information regarding predictive and preventive maintenance, be sure to review the featured infographic coupled with this post, courtesy of Industrial Service Solutions. It will help in developing a maintenance strategy that brings out the strengths of your business.