Operational Decision Intelligence

Simulation Engine & Digital Twin

Don't just predict problems — test possible solutions. OpsMind evaluates alternative decisions across cost, downtime, throughput, and SLA risk before you execute.

Living Model

The 5 Layers of the Digital Twin

A decision-support representation of your physical operations.

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1. Physical Layer

Machines, plant facilities, fleet vehicles, equipment specs, and telemetry sensors.

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2. Resource Layer

Technicians, workforce shifts, inventory stock, spare parts, and supplier capacity.

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3. Workflow Layer

Active work orders, logistics routes, production schedules, and inspection sequences.

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4. Business Layer

Customer orders, delivery deadlines, SLA penalties, and overtime expenditure limits.

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5. Historical Layer

MTBF metrics, past failure modes, seasonal throughput variance, and historical repair costs.

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Optimization Engine

Solves trade-offs between conflicting goals (e.g. minimize downtime vs minimize overtime cost).

What-If Scenarios

Simulate Operational Questions

Test complex operational hypotheses in seconds.

Demand Increase

"What happens if demand increases 30% next week?"

OpsMind simulates throughput capacity across Warehouse 3, identifies 2 bottleneck packaging lines, projects a 4-ton inventory shortfall, and recommends automated pre-ordering from Supplier B.

Equipment Outage

"What if Machine 17 is offline for 48 hours?"

Simulates order re-routing to Plant B, calculates extra transit cost ($420), and updates customer SLA delivery estimates with 98% accuracy.

Start Simulating Operational Decisions

Transform predictive analytics into confident operational decision intelligence.