P46 · Representative solution case · Manufacturing / Industrial

Manufacturing Plant, Yard & Supply Chain Digital Twin

Which plant or yard decisions are slow because teams cannot see the same current operational truth?

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

Plants and yards lack a current spatial operational layer linking assets, vehicles, people, incidents and workflows.

Primary operating owner

Plant Head; Digital/Industry 4.0; Supply Chain

Economic decision

COO; Manufacturing Director

Technical influence

OT/IT; EHS; Maintenance; ERP

Why action becomes urgent

Plant expansion, digital-factory programme, safety incident, asset audit, yard congestion, maintenance transformation.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Plants and yards lack a current spatial operational layer linking assets, vehicles, people, incidents and workflows.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

2D/3D plant/yard digital twin, asset GIS, indoor/outdoor tracking, vehicle/yarde flow, safety geofences, inspections, drone capture and dashboards.

  • One role-aware workspace in Mappls Digital Twin Command
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

Plant Head

Own and govern

Digital/Industry 4.0

Decide and coordinate

Supply Chain

Decide and coordinate

COO

Decide and coordinate

Manufacturing Director

Execute and verify

OT/IT

Execute and verify

EHS

Execute and verify

Maintenance

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

Which assets/flows and decisions matter? What CAD/BIM/ERP/OT data exists? Who owns updates?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Digital Twin workspace.

03

Act through role workflows

Live twin, Assets, Incidents, Simulation, Work orders give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

One zone/yard pilot combining reality capture, asset register and one operational workflow.

05

Scale and continuously improve

Operationalise the model through Data capture + platform licence + IoT/user subscriptions + integration/O&M., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Live twin · Assets · Incidents · Simulation · Work orders

Outcome loop

Spatial/asset accuracy accepted; target workflow cycle improves; integration and update governance proven.

Drone/LiDAR/Reality Capture

Survey, orthomosaic, point cloud, 3D and inspection outputs

Product details

Tracking, Geofence & Trip APIs

Live location, trips, geofences, events and playback

Product details

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

ADAS/HD & Safety Data

Lane, road attribute, risk and predictive horizon data

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisLower search/waiting/rework and safety exposure; better asset uptime, yard throughput and capex coordination.
Success criteriaSpatial/asset accuracy accepted; target workflow cycle improves; integration and update governance proven.

Bounded proof

One zone/yard pilot combining reality capture, asset register and one operational workflow.

  • Confirm the baseline and decision scope: Which assets/flows and decisions matter? What CAD/BIM/ERP/OT data exists? Who owns updates?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Spatial/asset accuracy accepted; target workflow cycle improves; integration and update governance proven.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put Manufacturing Plant, Yard & Supply Chain Digital Twin into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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