RESOURCE EFFICIENCY
Phase-level utility attribution identifies where resources are consumed, allowing optimization initiatives to focus on the process phases with the greatest reduction potential.
Utilities are often treated as operating costs, while in reality, they are also evidence of process behavior.
Most facilities know total utility consumption, but few can attribute consumption to individual process phases. As a result, optimization initiatives often begin with targets but lack the visibility required to understand where improvement opportunities actually exist.
Which phase consumes the most steam?
Why is cooling using more water?
Which recipe drives resource consumption?
Where should intervention begin?
Without attribution, optimization becomes guesswork.

The Technology Hub already governs process execution. Resource Intelligence extends that capability by transforming utility consumption into process insight.
Rather than simply reporting how much steam, compressed air, water or electricity has been consumed, Resource Intelligence explains where, when and why resources are consumed throughout the process, providing the operational visibility required to support optimization, sustainability and continuous improvement.
Steam, water, electricity, and compressed air are consumed.
This visibility identifies where optimization opportunities exist and where improvement efforts can deliver the greatest operational and environmental impact.
Why consumption changes: Comparing utility consumption across cycles, recipes and machines reveal process drift, equipment degradation and unexpected operating conditions before they become visible through traditional process indicators.
Utility consumption becomes a source of process knowledge, supporting anomaly detection, root-cause investigation, and long-term process governance.
Phase-level utility attribution.
Real-time monitoring of steam, water, electricity and compressed air.
1-second data acquisition.
Cycle and batch metadata collection.
Multi-cycle comparison.
Multi-machine benchmarking.
Structured reporting and dashboards.
Phase-level utility attribution identifies where resources are consumed, allowing optimization initiatives to focus on the process phases with the greatest reduction potential.
Consumption patterns reveal oversized heating, holding or cooling phases that may be using utilities longer than necessary, supporting data-driven cycle optimization.
Changes in utility consumption can reveal process drift, equipment degradation, or utility system abnormalities before they become evident through conventional process parameters.
Available for both new installations and retrofit applications, Resource Intelligence becomes particularly valuable when:
Resource reduction initiative.
Sustainability objectives must be supported by process data.
Utility costs become operationally significant.
Benchmarking between machines or production sites is required.
Continuous improvement programs depend on objective performance indicators .
Resource Intelligence uses utility measurements together with process data generated by the Technology Hub. Depending on the existing installation, additional measurment devices or signal integration may be required to achieve phase-level attribution.
Yes. Resource Intelligence is available for both new Fedegari equipment and retrofit installations, allowing existing sterilizers to benefit from the same process intelligence capabilities.
Resource Intelligence supports monitoring of steam, water, electricity, and compressed air. Additional utilities can be integrated depending on the application and available instrumentation.
Yes. By identifying where utilities are consumed and quantifying the impact of process optimization, Resource Intelligence provides measurable evidence to support sustainability programs and resource reduction initiatives.
Utility consumption is synchronized with process execution, allowing every measurement to be attributed to individual process phases, recipes, batches, and equipment.
Yes. Resource Intelligence enables benchmarking across multiple machines, cycles and recipes, supporting standardization initiatives and continuous improvement programs across manufacturing sites.
Discover how our process knowledge connects technologies, applications and processes.