Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P46 · Implementation blueprint · Mappls Digital Twin Command
Manufacturing Plant, Yard & Supply Chain Digital Twin
Plants and yards lack a current spatial operational layer linking assets, vehicles, people, incidents and workflows.
01 · Target operating outcome
Define the change before choosing the technology
Which plant or yard decisions are slow because teams cannot see the same current operational truth?
Lower search/waiting/rework and safety exposure; better asset uptime, yard throughput and capex coordination.
Target
Spatial/asset accuracy accepted; target workflow cycle improves; integration and update governance proven.
02 · Solution architecture
One connected flow from source data to operational action
2D/3D plant/yard digital twin, asset GIS, indoor/outdoor tracking, vehicle/yarde flow, safety geofences, inspections, drone capture and dashboards. Mappls connects proprietary map and location intelligence with 2d/3d plant/yard digital twin, asset gis, indoor/outdoor tracking, vehicle/yarde flow, safety geofences, inspections, drone capture and dashboards. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Live twin · Assets · Incidents · Simulation · Work orders
Decision and outcome
Lower search/waiting/rework and safety exposure; better asset uptime, yard throughput and capex coordination.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Plant Head
Sponsor / owner
Digital/Industry 4.0
Manager / analyst
Supply Chain
Manager / analyst
COO
Manager / analyst
Manufacturing Director
Operator / specialist
OT/IT
Operator / specialist
EHS
Operator / specialist
Maintenance
Operator / specialist
ERP
Operator / specialist
Command centre operator
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
Drone/LiDAR/Reality Capture
Survey, orthomosaic, point cloud, 3D and inspection outputs
Product detailsTracking, Geofence & Trip APIs
Live location, trips, geofences, events and playback
Product detailsAsset & Personal Trackers
Battery/portable/asset location and alert devices
Product detailsADAS/HD & Safety Data
Lane, road attribute, risk and predictive horizon data
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
One zone/yard pilot combining reality capture, asset register and one operational workflow.
- Confirm data, geography, users and workflow: Which assets/flows and decisions matter? What CAD/BIM/ERP/OT data exists? Who owns updates?
- Configure Mappls Digital Twin Command for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Spatial/asset accuracy accepted; target workflow cycle improves; integration and update governance proven.
- Package production scope and commercial model: Data capture + platform licence + IoT/user subscriptions + integration/O&M.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement