Agent Use Cases

Six proven scenarios for AI agents in manufacturing. Each comes with recommended MCP tools, target KPIs, and difficulty level. Start simple or go deep.

📊Beginner

OEE Champion

Monitor OEE across all machines in real-time. Detect availability drops, performance losses, and quality issues. Trigger alerts when OEE falls below thresholds and suggest corrective actions.

MCP Tools used

factory_get_latest_oeefactory_get_machine_oeefactory_get_production_historyfactory_get_scrap_historyfactory_get_downtime_report

Target KPIs

OEE > 85%Scrap < 2%Availability > 90%

🔧Intermediate

Predictive Maintenance

Analyze MTBF/MTTR patterns, tool wear data, and downtime history. Predict upcoming failures and schedule maintenance before unplanned stops occur. Optimize maintenance windows.

MCP Tools used

factory_get_machine_reliabilityfactory_get_downtime_reporttms_get_criticalfactory_get_open_notificationsfactory_get_maintenance_summary

Target KPIs

MTBF +20%Unplanned Stops -50%Maintenance Cost -15%

📦Intermediate

MRP Optimizer

Eliminate material shortages by monitoring MD04/MD07 data. Automatically trigger purchase orders for low-stock items. Balance inventory levels to minimize carrying costs while avoiding stockouts.

MCP Tools used

factory_get_md04factory_get_md07factory_get_low_stock_itemsfactory_get_pending_purchasesfactory_get_supplier_for_material

Target KPIs

Shortages → 0Inventory Turns +30%Purchase Lead Time -20%

✅Advanced

Quality First

Monitor SPC alarms and Cpk values across all processes. Detect drift in injection molding parameters before defects occur. Ensure calibration compliance and track quality notifications.

MCP Tools used

factory_get_spc_alarmsfactory_get_cpk_overviewfactory_get_calibration_duesgm_get_process_trendsgm_get_cavity_balance

Target KPIs

Cpk > 1.33SPC Alarms → 0Calibration 100%

⚡Beginner

Energy Saver

Track energy consumption per machine and per part. Identify energy-inefficient operations, optimize base load vs. production load, and reduce kWh/part through intelligent scheduling.

MCP Tools used

factory_get_energy_overviewfactory_get_energy_per_partfactory_get_energy_costsfactory_get_energy_trendfactory_get_base_load

Target KPIs

kWh/Part -15%Energy Cost -10%Base Load Optimized

📅Advanced

On-Time Delivery

Ensure customer order delivery dates are met. Monitor at-risk orders, track production progress against deadlines, and coordinate capacity and material availability proactively.

MCP Tools used

factory_get_orders_at_riskfactory_get_customer_otdfactory_get_otd_statisticsfactory_get_capacity_summaryfactory_check_material_readiness

Target KPIs

OTD > 95%Late Orders → 0Risk Detection -48h

🛡Advanced

Supply Chain Risk Radar

Use Knowledge Graph impact analysis to identify single-point-of-failure suppliers, trace order dependencies across machines, and simulate what-if scenarios for machine downtime.

MCP Tools used

kg_impactkg_pathkg_neighborskg_aggregatefactory_get_supplier_evaluation

Target KPIs

Supply chain resilience scoreSingle-point-of-failure countAlternative supplier coverage

🔍Intermediate

Real-Time Anomaly Detective

Monitor live MQTT sensor data via the Unified Namespace, detect anomalies using the Historian's statistical analysis, and correlate findings with KG context for root cause analysis.

MCP Tools used

history_anomalieshistory_get_trendkg_discovered_machineskg_machine_sensorsuns_query_latest

Target KPIs

Anomaly detection rateMean time to root causeFalse positive ratio

🧵Beginner

Digital Thread Tracer

Trace a product's complete digital thread — from raw material through production to delivery — using Knowledge Graph path analysis and factory order data.

MCP Tools used

kg_pathkg_subgraphfactory_get_work_orderfactory_get_bom_multi_levelfactory_get_customer_orders

Target KPIs

Order traceability depthMaterial genealogy coverageLead time visibility

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