01
Simulation Data Quality Gate
action
data_quality_gateon fail: abort
config (3 keys)
{
"min_nodes": 20,
"require_network": true,
"require_process_times": true
}Simulation-based analysis: model supply chain disruption scenarios using discrete-event simulation and system dynamics. Test pandemic, natural disaster, and geopolitical disruption scenarios. Compare mitigation strategies.
{
"min_nodes": 20,
"require_network": true,
"require_process_times": true
}{
"kpis": [
"fill_rate",
"total_cost",
"average_lead_time"
],
"n_replications": 100,
"network_source": "supply_chain_graph",
"simulation_horizon": 365
}{
"closure_duration_days": [
30,
60,
90
],
"closure_probability": 0.3,
"n_replications": 100,
"scenario": "pandemic",
"staggered_reopening": true
}{
"revenue_loss_pct": {
"min_value": 15
}
}{
"affected_regions": [
"specified_at_runtime"
],
"n_replications": 100,
"restriction_severity": [
0.5,
0.75,
1
],
"scenario": "trade_restriction"
}{
"demand_shock_pct": 10,
"echelons": 4,
"information_sharing": [
false,
true
],
"model_type": "beer_game",
"simulation_horizon": 52
}{
"demand_amplification_ratio": {
"min_value": 2
}
}{
"compare_across_scenarios": true,
"cost_benefit_analysis": true,
"strategies": [
"dual_sourcing",
"increased_inventory",
"nearshoring",
"information_sharing"
]
}