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Coordinates factory operations by linking worker schedules, skills matrices, asset statuses, and production targets. Uses IRIS Foundry to synchronize people, processes, and machines—enabling dynamic workforce assignment, skills-based scheduling, and seamless handovers.

Optimize staff scheduling

Match worker skills with production demands in real-time. Use AI to create dynamic schedules that maximize productivity while maintaining safety and quality standards.

Smart allocation

Assign workers based on certifications, experience, and real-time needs.

Compliance tracking

Ensure all shifts meet safety and certification requirements.

Schedule adaptation

Automatically adjust to changes in demand or worker availability.

Align assets and orders

Coordinate equipment availability with production requirements. Ensure resources are ready when needed to minimize delays and maximize throughput.

Resource readiness

Monitor equipment status and material availability in real-time.

Schedule optimization

Adjust production plans based on asset availability and maintenance needs.

Delay prevention

Identify potential bottlenecks before they impact production.

Streamline team transitions

Automate shift handover processes for seamless operations. Ensure critical information transfer between teams while maintaining productivity.

Digital reporting

Generate comprehensive shift reports with key metrics and events.

Status tracking

Monitor open tasks and incidents across shift changes.

Knowledge transfer

Ensure consistent information flow between incoming and outgoing crews.

Drive continuous improvement

Track and develop workforce capabilities systematically. Identify skill gaps and deliver targeted training to improve operational excellence.

Skill mapping

Monitor team capabilities against evolving operational needs.

Training automation

Deliver personalized learning paths based on performance data.

Competency tracking

Measure and validate skills development across the workforce.

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Learn how analyzing live industrial data in a collaborative environment can reduce time spent gathering data, increase knowledge sharing, and deliver data-driven analysis.