Businesses rely on their essential machinery to maintain workflow. When critical equipment fails, everyone suffers, including the supplier, the manufacturer and the consumer.

Although preventive maintenance has been the standard method of keeping equipment running for decades, many businesses are learning that predictive maintenance may be superior.

What’s Wrong With Preventive Maintenance?

Preventive maintenance can be effective, but it has limitations. You can run into issues such as these:

  • Equipment can be damaged if problems occur before scheduled maintenance is due.
  • If a machine is functioning well and maintenance isn’t needed, essential equipment is taken out of service unnecessarily.
  • Unnecessary maintenance or undetected issues can lead to expenses and revenue loss that could have been avoided.

What is Predictive Maintenance?

Predictive maintenance takes the guesswork out of equipment upkeep. Rather than waiting for a machine to break down, or performing maintenance that isn’t needed, predictive maintenance reveals likely issues in real-time.

Predictive maintenance uses specialized software, analytics and data collection to monitor machine performance and predict when equipment needs to be worked on. Typically this monitoring can be achieved while the equipment is in use and requires no machine downtime.

Wise companies can protect their essential equipment and maximize its efficiency by altering their method of maintenance. They may also see a reduction in expenses and an increase in productivity.