Maintenance Strategy typically relates to the organizational roadmap, including:
- Implementing predictive maintenance (which requires changing the way maintenance is handled, as well as entails investing in new equipment)
- Building a central warehouse for spare parts rather than distributed smaller warehouses
- Opening a local center for repairs rather than depending on external contractors
- Using internal employees as well as external contractors for maintenance
Maintenance Policy typically relates to:
- Which assembly needs to be repaired and which needs to be discarded and replaced? In the case of a repair, where will it take place?
- How many spare parts need to be purchased for each assembly or component initially (when the asset starts running) and annually?
- During each scheduled maintenance (stoppage) event, what assembly do we need to replace or inspect?
Let’s take a car manufacturer’s production line as an example. Usually the production line operates from Monday morning to Friday afternoon, 24/7. We can perform maintenance every 3-4 shifts or use the weekend for maintenance and run the production throughout the entire week.
The problem is either method still leaves uninspected failures, which means that the Strategy and Policy are not optimized.
BQR’s apmOptimizer can optimize the maintenance strategy and policy simultaneously. apmOptimizer checks the Maintenance Strategy and then the Maintenance Policy, resulting in optimal strategies and policies, which minimize stoppages, reduce maintenance cost and increase profit.