Manufacturing (Assembly, Kitting, Quality)
Stabilize takt time, unblock workcells, and protect quality with explainable actions across AMRs/AGVs, lines, and stations.
Common challenges
Industry pain points
- Workcell starvation or blockage; unbalanced stations.
- Quality escapes and rework due to late signals.
- Material kitting delays; AGV/AMR queue spikes.
- Line PLC, quality, and AMR data in silos.
+6%
Throughput
-18%
Rework
-28%
Starvation
Takt stability (placeholder)
Data fabric
Signals we ingest
- Line PLC events, andon, cycle/defect counters.
- AMR/AGV missions, queue time, SOC.
- MES/ERP: orders, kitting lists, station routing.
Connect & deploy
- OPC UA / REST / MQTT; cloud or edge near the line.
- Explainability for production & quality review.
Closed-loop ops
Actions & automations
- Resupply/kitting dispatch to prevent starvation.
- Dynamic station-to-station reroutes for balance.
- Quality hold trigger with evidence to MES.
- Charge windows aligned to shift and line pace.
Explainability example
Starvation risk at Cell B. Why: kitting delay + AMR queue + prior defect spike. Action: resupply now + reroute AMR + quality watch.
Saliency bars (placeholder)
Modeled impact
Business impact
- Higher and steadier throughput.
- Lower rework with earlier quality signals.
- Less downtime from material delays.
+4–9%
Output
-20–35%
Rework
-25%
Queue spikes
Live simulation (illustrative)
47s
Takt
5
Active alerts
3
Queued AMRs
Balance trend (placeholder)