SOC Supply Chain Resilience App

Predicting Cascading Disasters in Global Supply Chain Networks

Monitor Disruptions

Test Scenarios

Strengthen Routes

Step 1: Select Supply Chain Network

The global supply chain networks below represent critical infrastructures vulnerable to cascading failures. This step allows you to explore how different network types respond to stress, identify weak points, and simulate the impact of localized disruptions.

What You Can Do: Select a network to evaluate its fragility, discover potential choke points, and run scenarios that reveal how disruptions can escalate across the system.

🚢 Global Maritime Shipping

CRITICAL

Major shipping lanes, container ports, and maritime chokepoints handling 90% of global trade. High hub concentration makes this vulnerable to coordinated disruptions targeting 3-5 critical maritime nodes simultaneously.

Risk Scenarios: Suez Canal, Strait of Malacca, Panama Canal

127 Critical Ports Cascade Risk: EXTREME

📦 E-commerce Fulfillment Network

HIGH

Interconnected distribution centers, fulfillment hubs, and last-mile delivery networks. Small-world topology creates potential for systemic delivery cascade failures affecting millions of consumers.

Risk Scenarios: Peak Season, Black Friday, Pandemic Surge

89 Major Hubs Cascade Risk: HIGH

🏭 Manufacturing Supply Chain

HIGH

Critical manufacturing facilities, semiconductor fabs, and raw material suppliers essential for global production. Geographic concentration with coordinated disruptions on key production nodes could trigger worldwide manufacturing halts.

Risk Scenarios: Chip Shortage, Factory Shutdown, Raw Material Crisis

73 Key Facilities Cascade Risk: HIGH

🌾 Food & Agriculture Supply

MEDIUM

Agricultural production regions, food processing centers, and cold chain distribution networks. Scale-free topology is more resilient due to seasonal redundancy but vulnerable to coordinated climate or pest disruptions.

Risk Scenarios: Climate Events, Pest Outbreaks, Processing Delays

95 Key Regions Cascade Risk: MEDIUM

Step 2: Supply Chain Disruption Model and Scenario Configuration

Choose disruption types and failure modes to simulate stress patterns across the supply chain. The SOC parameters will be automatically configured to reflect the selected scenario and estimate cascading impacts.

Select Disruption Scenario

🦠 Pandemic/Health Crisis

SC-1

Global health crisis causing widespread workforce disruptions, border closures, and consumer behavior shifts. Known for creating long-term supply chain stress and demand volatility.

Primary Impacts:

Labor Shortage Border Controls Demand Shifts

SOC Parameters: β=0.92 (high contagion), θ=0.70 (reduced resilience)

⚔️ Geopolitical Trade War

SC-2

Escalating trade tensions leading to tariffs, sanctions, and supply route diversions. Demonstrated capability to fragment global supply networks and create alternative pathways.

Primary Impacts:

Tariff Barriers Route Diversions Supply Fragmentation

SOC Parameters: β=0.88 (strategic rerouting), θ=0.75 (adaptive capacity)

🌪️ Climate/Natural Disaster

SC-3

Extreme weather events, hurricanes, earthquakes, or floods affecting critical supply chain nodes. Known for sudden onset and long recovery times affecting regional supply networks.

Primary Impacts:

Infrastructure Damage Port Closures Regional Isolation

SOC Parameters: β=0.95 (rapid propagation), θ=0.65 (infrastructure vulnerability)

💻 Cyber Supply Chain Attack

SC-4

Coordinated cyber attacks targeting logistics systems, port operations, and inventory management platforms. Demonstrated capability for widespread operational disruption as seen in recent ransomware incidents.

Primary Impacts:

System Downtime Data Corruption Operational Halt

SOC Parameters: β=0.90 (network propagation), θ=0.80 (system dependencies)

Supply Chain Scenario Configuration

Disruption Timeline

Determines failure pattern and SOC simulation timing parameters

Initial Failure Point

Affects initial stress distribution and propagation patterns

Impact Scope

Influences cascade failure thresholds and propagation dynamics

Business Context

Affects network stress tolerance and failure intensity parameters

Advanced SOC Parameters (Auto-configured based on selections)

Stress Redistribution (β)

0.92

Auto-set based on disruption scenario

Failure Threshold (θ)

0.75

Based on network resilience

Disruption Intensity (Δs)

0.15

Calibrated to disruption scenario

Simulation Horizon

30 days

Critical response window

SOC Supply Chain Analysis in Progress

Analyzing theoretical supply chain cascade scenarios...

Initializing supply chain simulation...

Real-time Analysis

Establishing baseline supply network state...

Executive Summary

HIGH

Overall Disruption Risk

73%

Cascade Failure Probability

5.8d

Mean Time to Cascade

HIGH

Supply Network Impact

Key Findings

Critical Nodes

Cascade Pathways

Resilience Strategies

Strategic Intelligence

Technical Analysis

High-Risk Supply Chain Nodes

Supply chain nodes that, if disrupted, would trigger the most severe cascade failures.

SOC Supply Chain Resilience App

Step 1: Select Supply Chain Network

🚢 Global Maritime Shipping

📦 E-commerce Fulfillment Network

🏭 Manufacturing Supply Chain

🌾 Food & Agriculture Supply

Step 2: Supply Chain Disruption Model and Scenario Configuration

Select Disruption Scenario

🦠 Pandemic/Health Crisis

⚔️ Geopolitical Trade War

🌪️ Climate/Natural Disaster

💻 Cyber Supply Chain Attack

Supply Chain Scenario Configuration

Advanced SOC Parameters (Auto-configured based on selections)

SOC Supply Chain Analysis in Progress

Real-time Analysis

Supply Network Stress Visualization

Executive Summary

Key Findings

High-Risk Supply Chain Nodes

Critical Dependencies

Most Critical Failure Sequences

Initial Failure Points

Recommended Resilience Measures

Early Warning Strategies

Research Requirements

Disruption Indicators

SOC Model Parameters

Supply Network Topology Analysis