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MONTE CARLO · DISCRETE-EVENT SIM · AGENT-BASED

Decisions, de-risked by simulation.

OptiDice is a simulation consulting company that uses Monte Carlo, discrete-event, and agent-based simulators that replace gut feeling with quantified trade-offs.

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Key Statistics

7

Industry domains covered

90K+

Monte Carlo runs delivered

3

Simulation techniques mastered
(Monte Carlo, DES, Agent-Based)

2

Humans + AI tools (lean on purpose)

Quantify risk

Monte Carlo simulation, VaR/CVaR, stress testing, Design of Experiments.

Optimise operations

Discrete-event models for factories, hospitals, call centers, supermarkets, supply chains.

Model behaviour

Agent-based models for workforce dynamics, traffic microsimulation, customer flow.

Need a case study for your domain?

This is something of what we've built so far. Yours is next.

Smart Manufacturing

Manufacturing Operations

A minute-by-minute discrete-event simulation of an 8-stage assembly line. 12,000 Monte Carlo runs rank 48 combinations of demand level, labour strategy, and maintenance policy.

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Emergency Department

Healthcare Operations

A 48-hour simulation of a hospital ED with ESI-triaged patient flow under time-varying arrivals. 9,000 runs test 36 staffing, room, and surge combinations.

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Supermarket Operations

Retail Operations & Checkout Resilience

A simulation calibrated against 21 days of real store traffic data. 1,620 runs test promotion gating, peak-flex lane scheduling, and self-checkout capture.

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