From reactive repairs to optimized performance, in six phases
In life sciences, asset reliability isn’t only an efficiency question. Unplanned downtime, failed calibrations, and missing audit trails land on compliance, product quality, and ultimately patient safety.
Most teams know they should move from fixing equipment to predicting it. Fewer can say which step comes next, or what is actually holding them at their current stage.
This whitepaper explains the difference between Asset Performance Management (APM) and Asset Lifecycle Management (ALM), sets out the benefits of a data-driven APM program, and gives you a six-phase maturity model to place your own sites against.
What’s in the whitepaper
An 8-page PDF, about 10 minutes.
- Importance of Asset Performance Management
- Difference between Asset Performance Management and Asset Lifecycle Management
- Benefits and value of Asset Performance Management
- The APM maturity model for life sciences
The six phases of the maturity model:
- Reactive maintenance — breakdown-driven
- Preventive maintenance — time and usage-based scheduling
- Condition-based maintenance — sensor and rules-based monitoring
- Connected asset management — a single version of data
- Predictive maintenance — AI and analytics-driven forecasting
- Asset performance optimization — maximizing availability and efficiency
Start here: place your largest site on the model before you read the recommendations. Most teams score themselves a phase higher than their maintenance backlog supports.