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TECHNIQUE

Simulation & digital twins

Decision Optimization

2APPLICATIONS
2OBSERVED OPERATORS
01

State of Practice

GROUNDED

Simulation and digital twins are deployed as operational decision aids, but operators implement them in distinct contexts: logistics routing, immersive training, and process-control prototyping.

Observed Practices

Use digital twins and network optimization tools to optimize logistics networks and routings.

1 of 3 deployed operators
Holcim

Use immersive simulation for operator training so new operators can practice procedures, manage complex chemical processes safely, and understand consequences without using energy or raw materials.

1 of 3 deployed operators
BASF

Embed experienced operator knowledge into simulation-based training scenarios for new recruits.

1 of 3 deployed operators
BASF

Use phenomenological dynamic process simulation to prototype control interfaces before or alongside advanced process-control deployment.

1 of 3 deployed operators
Motheo Copper Mine

Connect simulation-supported control to plant instrumentation and operator dashboards for execution.

1 of 3 deployed operators
Motheo Copper Mine

Feed high-fidelity line data into a virtualized grid model for transmission-grid awareness.

0 of 3 deployed operators; observed in 1 announced operator
CTC Global

Where Operators Converge

Across the deployed operators, simulation or digital-twin work is tied to a concrete operating decision: logistics routing at Holcim, operator training at BASF, and flotation-control prototyping at Motheo Copper Mine.

Where Operators Diverge

Operators apply the technique to different operational layers.

APPROACH 01

Logistics-network and routing optimization with digital twins.

Holcim

APPROACH 02

Workforce training through immersive process simulation.

BASF

APPROACH 03

Process-control prototyping using dynamic flotation simulation.

Motheo Copper Mine

APPROACH 04

Announced sensor-fed virtualized grid model for transmission-line awareness.

CTC Global

Watch Items

Measurement and instrumentation gaps can limit further automation or AI value: Motheo Copper Mine identified future installation of froth and pulp sensors and further exploitation of the dynamic flotation simulation, while CTC Global said models based on estimates rather than measurements limit what AI can do.

02

Implementation Menu

CURATED DEFAULTS
NameKindMaturity
SimPylibraryestablished
AnyLogicserviceestablished
03

Observed in Production

2 APPS
MiningGROUNDED

Real-Time Flotation Grade-Recovery Optimization

Motheo Copper Mine1 OP