Teaches students to manage robot fleets at operational scale using fleet management dashboards, performance metrics, and shift planning that integrates robots with human workers. Covers real-time fleet monitoring (utilization, error rates, downtime), shift planning with robot capacity models, performance benchmarking, multi-site triage (red/yellow/green), SLA tracking (understanding that 95% uptime means a maximum of 36 hours downtime per month), capacity planning, and tiered support structures (L1 self-service, L2 remote diagnostics, L3 field service).
Levels: Remember · Understand · Apply · Analyze · Evaluate · Create — highest demands most original thinking.
Reading real-time fleet status (map view, status panels, alert feeds), identifying patterns in utilization/error/charging data, distinguishing urgent alerts from informational notifications.
Building capacity models that account for robot throughput, human worker throughput, charging cycles, maintenance windows, and failure contingency; adjusting plans based on volume forecasts.
Tracking uptime against contractual SLA targets, calculating remaining downtime budget per robot/site, triggering proactive intervention when trending toward breach.
Triaging across multiple sites simultaneously using severity-based prioritization, managing remote vs. on-site response decisions, standardizing operational practices across locations.
Structuring L1/L2/L3 support tiers with clear escalation criteria, decision trees, and response time targets; enabling customer self-service for common L1 issues.
Fleet Operations Management Plan — Student receives fleet telemetry data for 50 robots across 3 sites (30 days of utilization, error, and charging data). They produce: a fleet performance analysis identifying the top 5 operational issues by impact, a shift plan integrating robot and human capacity with failure contingency, an SLA compliance report with risk-flagged robots, a tiered support structure with escalation decision trees, and a daily operational briefing template with sample content from the data.
Fleet management platforms for real-time robot monitoring, telemetry, and operational dashboards.
Warehouse management systems for integrating robot operations with order fulfillment workflows.
Shift planning, capacity modeling, and fleet performance analysis with structured data.
Fleet analytics dashboards for visualizing utilization, error rates, and SLA compliance trends.
Alerting and incident management for fleet operations monitoring and escalation workflows.
Operational communication for shift handoffs, incident coordination, and cross-site collaboration.
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