Discrete Event Simulation

Modeling of complex systems to optimize machinery effectiveness, shift scheduling, internal logistics, and production parameters.

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Modeling

Complex System Modeling

Creation of realistic digital models to represent production lines, logistics flows, and multi-phase processes.

✓ Modeling of complete production lines with buffers and transport
✓ Cycle time, breakdown, and maintenance simulation
✓ Parameterization based on real production data
✓ Model validation with historical data comparison
✓ 2D/3D visualization of the simulated plant

Optimization

Process Optimization

Using simulation to find the optimal configuration of machinery, operators, shifts, and logistics resources.

✓ OEE and machine availability optimization
✓ Shift scheduling and operator allocation
✓ Cart and AGV fleet sizing
✓ Buffer and intermediate warehouse optimization
✓ Lead time and work-in-progress (WIP) reduction

Scenarios

What-If Analysis

Exploration of alternative scenarios to evaluate the impact of process changes before implementing them in reality.

✓ Scenario comparison with production parameter variation
✓ Sensitivity analysis on key variables
✓ Impact assessment of new investments
✓ Comparative reports with KPIs and charts

Diagnostics

Bottleneck Identification

Precise identification of constraints limiting production capacity and definition of priority corrective actions.

✓ Machine and station saturation analysis
✓ Wait time and queue mapping
✓ Critical resource and constraint identification
✓ Improvement proposals with estimated ROI

Want to simulate your plant?

Simulation allows you to test scenarios and optimize before investing.

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