There are several approaches that manufacturers can take to ensure their equipment stays in top condition, including reactive, preventive, and predictive maintenance. Many companies blend these strategies, though not all are equally efficient. Relying heavily on reactive maintenance, for instance, can result in high expenses over time due to increased equipment failures, higher repair costs, and shortened equipment lifespan.
In contrast, predictive maintenance offers the most effective solution by leveraging data analytics to identify the exact time for maintenance, avoiding unnecessary early interventions and costly delays. With current technology, predictive maintenance has become more accessible and will only grow in importance as data analysis capabilities improve.
To find out more about how different maintenance strategies can influence business outcomes, review the accompanying infographic.
Low- Or No-Maintenance Industrial Machinery was provided by Emerson
