Build a multi-criteria composite vulnerability index following OECD methodology. Uses AHP for criteria weighting, DEA for efficiency benchmarking, and sensitivity analysis for robustness.
{
"constructs": [
"geographic_concentration_risk",
"supplier_financial_health",
"lead_time_variability",
"geopolitical_risk_index",
"climate_exposure_score",
"cyber_risk_exposure",
"critical_mineral_dependency"
],
"max_missing_pct": 0.2,
"min_observations": 20
}{
"handle_direction": true,
"higher_is_riskier": [
"geographic_concentration_risk",
"lead_time_variability",
"geopolitical_risk_index",
"climate_exposure_score",
"cyber_risk_exposure",
"critical_mineral_dependency"
],
"higher_is_safer": [
"supplier_financial_health"
],
"method": "min_max"
}{
"criteria": [
"geographic_risk",
"financial_risk",
"operational_risk",
"geopolitical_risk",
"climate_risk",
"cyber_risk",
"resource_risk"
],
"pairwise_source": "expert_input_or_literature"
}{
"consistency_ratio": {
"max_value": 0.1
}
}{
"aggregation_method": "weighted_sum",
"weights_source": "ahp_weighting"
}{
"inputs": [
"geographic_concentration_risk",
"geopolitical_risk_index",
"climate_exposure_score"
],
"orientation": "input",
"outputs": [
"supply_chain_resilience_score"
],
"returns_to_scale": "variable"
}{
"method": "monte_carlo_weight_perturbation",
"n_simulations": 1000,
"report_rank_stability": true,
"weight_variation_pct": 25
}{
"alternatives": "entities",
"criteria": [
"geographic_concentration_risk",
"supplier_financial_health",
"lead_time_variability",
"geopolitical_risk_index",
"climate_exposure_score",
"cyber_risk_exposure"
],
"weights_source": "ahp_weighting"
}