Digital Manufacturing • DM-06
Robot Fleet Management
Treat robots and AGVs as a managed fleet, not as isolated machines.
Scope
What the engagement covers.
As automation density rises, utilization, traffic and fault handling become fleet problems. This service provides orchestration, monitoring and fault management across mixed robot populations.
Included capabilities
- Fleet orchestration and task allocation across mixed robot types
- Traffic management, deadlock avoidance and zone control
- Utilization, cycle time and fault analytics per unit and per fleet
- Fault diagnosis, recovery workflows and escalation to human intervention
- Fleet-wide firmware, configuration and safety parameter management
Outputs and deliverables
- Fleet orchestration configuration and zone model
- Utilization and fault analytics dashboards
- Fault recovery and escalation workflows
- Fleet configuration management procedure
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01MapRobot population, task types, zones and interaction points.
02OrchestrateTask allocation, routing and traffic rules across the fleet.
03MonitorUtilization, faults, battery and cycle performance per unit.
04RecoverFault workflows with defined human intervention triggers.
05OptimizeLayout, allocation and parameter tuning against throughput.
Use cases
Where this is typically applied.
Assembly cells where robot downtime blocks the line
Sites scaling from a few robots to a managed fleet
Delivery model
The operating pattern for Digital Manufacturing.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Baseline
Asset register, data availability, loss analysis and value case per line.
Connect
Sensors, gateways, historians, protocol translation and network coverage.
Model
Twins, failure models, OEE logic and analytics validated against real events.
Deploy
Operator and maintainer workflows, alerts, dashboards and situation centre.
Scale
Second line, second site, standard templates and capability transfer.
Integration
- MES, APS, ERP and CMMS so insight becomes a work order, not a dashboard.
- SCADA, historians and PLC layers via standard industrial protocols.
- Quality and laboratory systems for genealogy and root-cause analysis.
- Private LTE/5G or industrial Wi-Fi for coverage in electrically noisy plants.
Engagement approach
Deployment starts on one line or one asset class where losses are measurable, so the business case is proven on real production data before the site-wide rollout is committed.
Related
Other capabilities in Digital Manufacturing.
DM-01
AI Technical Monitoring
Catch equipment failure while it is still cheap to fix.
DM-02Digital Twin
A live model of the plant that answers questions before you commit to the change.
DM-03OEE / Asset Scoring
One honest number for equipment performance, built from data nobody can argue with.
DM-04Situation Center
One room where production, maintenance, quality and energy are looked at together.
DM-05AI Maintenance Assistant
Put twenty years of maintenance knowledge in the technician’s hand.
DM-07MES / APS / SCADA-HMI Integration
Make the execution layer, the planner and the control layer agree.
DM-08Private LTE/5G & Industrial Connectivity
Coverage that survives metal, movement and electrical noise.
DM-09Smart Workshop
Digitize the workplaces where most variability actually originates.
DM-10Industrial Safety
Detect the unsafe condition before it becomes the incident report.
DM-11Environmental & Energy Management
Attribute energy and emissions to the process that actually consumed them.