Comparison
Deterministic vs Stochastic Simulation
Most simulation environments assume an ideal world. Stochastic simulation includes deviations derived from historical behavior—so you choose decisions that survive reality.
In short
Most simulation environments assume an ideal world. Stochastic simulation includes deviations derived from historical behavior—so you choose decisions that survive reality.
Section
Assumptions
Deterministic
- Fixed times
- No variability unless manually scripted
- One outcome per scenario
Stochastic
- Standards + deviations from historical data
- Random events modeled statistically (e.g., failures, delays)
- Outcome distributions, not only single numbers
Section
Decision quality
Deterministic
- Optimizes for the ideal world
- Often breaks under volatility
- Hidden risk exposure
Stochastic
- Optimizes for robustness
- Quantifies risk and sensitivity
- Supports fast re-planning under constraints