The Ways That Businesses Can Identify The Maintenance Technology That Would Fit Their Business

While owning and managing a business has its many unique challenges, perhaps the most challenging aspect of all comes in the form of maintenance. Business owners and managers have to ask themselves; do they remain with the grain and approach maintenance through preventive measures? Or should the go against the grain and integrate predictive maintenance systems into their fleet? This post should help answer both those questions for businesses currently struggling in regards to maintenance.

As previously mentioned, the most replicable maintenance strategy is known as preventive maintenance. This calendar-driven strategy includes scheduling maintenance for each piece of equipment at multiple points throughout the year based on varying factors like run time and age. The newer technique that many businesses have alternated to is known as predictive maintenance. This strategy requires unique technological systems to operate but provides organizations with a much more dynamic maintenance approach. The connectedness of these systems allow them to read equipment in such a way that maintenance can be much more accurately timed and conducted.

Many organizations will struggle with the decision between the two. While this post’s context will be extremely helpful in deterring which is the best fit, the accompanying resource should help clear up the decision even more. Within the resource, different industries and business sectors will be broken down in regards to how this maintenance approach can benefit them. This, coupled with the strategies that allow the blending of the two, can make all the difference.

Part of the struggle in deciding which of these approaches would work best comes from the doubt that organizations have regarding the quality of maintenance they’d receive from predictive maintenance. This is largely in part due to their unfamiliarity with the systems and how they integrate. What they’re unaware of is that with more and more equipment becoming connected with the IoT atmosphere, the more accurate the reporting and analysis will be. With more data collected centered around machine failure, the more likely these systems can diagnose that failure and more accurately determine what maintenance should be done to avoid said failure.

Though it may seem impenetrable, predictive maintenance systems do have their flaws. The first being the price barrier. Too much capital required to invest in will leave these systems unreachable for many organizations. Those that do will experience challenges in the form of retraining and regaining a mastery over these systems. If your business is capable of investing the capital necessary to enable these systems and believes in all of its employees to enable these systems, they can make a major difference in any operation.

Interested in learning more about these two maintenance approaches and how they contribute to the uptime of machinery? Be sure to take a minute to check out the infographic featured alongside this post. Courtesy of Industrial Service Solutions.