Are maintenance activities too complex to model?
Maintenance woes…
Maintenance is one potential application for AI with autonomous decision making. And it’s the current target for many industries.
At the ASQ RMMR conference last week, I learned from Dr. Rong Pan, an associate professor of industrial engineering at Arizona State University, how to better break up maintenance activities.
For component predictive maintenance, we can apply degradation models.
But there’s also system availability for maintenance. That needs to consider the opportunity for maintenance to occur.
Then, there’s the maintenance itself.
- Is it corrective maintenance, or preventive maintenance?
- Was it done perfectly, or was the fix imperfect?
And, when we bring it in for maintenance, while we’re at it should we do both corrective and preventive maintenance?
With so many variables, it can seem a headache to try to capture decision points. But Rong and his team published an example of how to model this complex scenario. This is the type of modeling we need to do if we’re to apply AI to aid in maintenance activities.
“Joint Component-System Maintenance Planning over Entire System Task Profile” won QE Best Paper. Congratulations! https://doi.org/10.1080/08982112.2023.2279598
What are the biggest maintenance planning challenges you face in your operations?
Another topic you might like: The DFE Part of DFX (Design For Environment and eXcellence) – Deeney Enterprises
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