Typically, in a production environment, repair success is measured by how quickly the equipment is put back into service. That is a valid way to measure repair success. But if that is the only measure of repair success in your plant, then most of your repairs are not actually successful. Compare the following two repairs of the same problem: a motor spins a bearing.
Jim replaces the motor and performs an alignment. Total downtime: 33 minutes.
Debbie does the same work, but also checks for gearbox lubrication issues, improper bonding, voltage imbalance, and harmonic distortion before connecting the motor. Total downtime: 59 minutes. Then she takes an additional 25 minutes to test for vibration, check the motor bearing lubrication history, and report discovered issues.
Jim did not seek to solve any of the conditions that would cause this failure mode, but he got the line running again in about half the time it took Debbie and he saved 25 minutes of other work also.
If you were tasked to predict which repair would result in the least total downtime over the next five years, would you need to think about it at all?
Jim's approach is more common than Debbie's, yet hers is clearly superior. What's the approach in your plant? How do you measure repair success?
the key.