The Payoffs of a Facilities Predictive Maintenance Plan
Repair now or replace later
Because they operate as small cities, infrastructure can comprise a large percentage of an industrial sites’ budget. When systems are installed, they are functioning at peak performance. Over time, however, performance naturally degrades.
As this happens, you have two choices:
1. Let performance slowly deteriorate until the system requires full replacement/restoration
2. Invest smaller amounts of money over time to maintain high-performance levels for as long as possible.
Pay now or pay later: You can spend pennies on the dollar today for preventive maintenance, or spend much, much more for a new system down the road.
How Facilities Predictive Maintenance Plans Work
- Shive-Hattery assesses infrastructure conditions and potential problems on your industrial site
- Your team is provided with a customized capital improvement plan
- Ideas are presented about how (and where) to make room in your budget for maintenance
- Shive-Hattery acts as an extension of your staff, following and regularly updating the capital improvement plan
A facilities predictive maintenance plan can help industrial sites make smart infrastructure investments at the right times to get as much operating life as possible out of each system. To develop a facilities predictive maintenance plan, the existing industrial infrastructure is assessed, and a roadmap for each system is created to:
- Pinpoint system deficiencies and shortcomings
- Calculate projected system lifecycles
- Propose improvements to lengthen system lifecycles
- Prioritize repairs and improvements
Pay Now: Maintain the Infrastructure
- Systems are maintained for efficiency and better-operating conditions
- Downtime risk is lower
- Problems are detected and addressed early on
- System lifecycles are extended for as long as possible
- Reduce expenditure by investing over time to sustain performance
Pay Later: Neglect the Infrastructure
- Systems aren’t maintained or kept in prime operating condition
- Processes become inefficient
- Downtime risk is higher
- Problems aren’t caught early (if caught at all)
- System lifecycles are shorter
- Large capital investments are necessary to replace or restore systems
