SCI WorldPulse · Global Supply Chain Intelligence & Causal Digital Twin

OBSERVED PUBLIC DATA HISTORICAL BENCHMARK MODELED ESTIMATE FICTIONAL SCENARIO

SCI WorldPulse — Global Supply Chain Simulator

Explore global maritime corridors, manufacturing clusters, and multi-tier network dependencies. Test how hypothetical port closures, Red Sea/Canal transit delays, or wafer-fab outages propagate through time-phased inventory conservation equations—and evaluate the exact cost-versus-service trade-offs of safety stock, alternate sourcing, and expedited freight.

Explore Global Supply Atlas Run Disruption Simulator Launch Supply Chain Ripple Engine Execute Order in SCIerp →

Service Fill Rate (Unmitigated → Mitigated)

78.2% → 96.4%

12-Week Cumulative Order Fill

Peak Customer Backlog

1,420 → 180 u

Conserved Unfulfilled Demand

Mitigation Net Cost Impact

Saves $118,400

Avoided Penalty Minus Mitigation Cost

Ripple Engine Revenue-at-Risk

$410,400

Multi-Tier Exposure at Selected Week

SECTION 1: GLOBAL SUPPLY CHAIN ATLAS

1. Global Supply Chain Atlas & Chokepoint Explorer

Select map layers or click any node to inspect historical throughput benchmarks, dwell uncertainty bands, and public data provenance. Simulated corridors never claim to represent live private vessel transponders.

Deep-Sea Container Gateway Maritime Chokepoint / Canal High-Tech / Pharma Manufacturing Hub Primary Ocean Corridor Bilateral Trade Dependency

Accessible Searchable Table Equivalent

Accessible Searchable Corridor & Node Data Table (Screen-Reader & Keyboard Equivalent)

Filter by port, region, or commodity:

ID	Corridor / Node Name	Region	Provenance	Median Dwell & Uncertainty	Source Attribution

2. Interactive Global Disruption Simulator (Time-Phased Conservation Engine)

Compare Baseline, Unmitigated Disruption, and Mitigated Recovery scenarios across 12 weeks. Explicitly separates Delayed Receipts (pipeline arrival lag) from Cancelled Supply and enforces distinct Supplier, Transportation, and Manufacturing capacity limits.

REPRODUCIBLE CONSERVATION MODEL

Fictional Supply Chain Network

Hypothetical Disruption Event

Disruption Start Week (1–8)

Disruption Duration (Weeks)

Capacity / Shock Severity (%)

Transit Lag Shift (Weeks Delayed)

Mitigation Decisions (Applied to Scenario 3): Pre-Position Safety Stock Buffer (+65% Wk) Activate Qualified Alternate Supplier Expedited Air / Priority Freight Overtime Manufacturing Rescheduling (+15% Cap)

Week	Demand (u)	Capacities (Sup / Trans / Mfg)	Arrivals (u)	Delayed Receipts	Cancelled Supply	Shipped (u)	Ending Inv (Mit vs Unmit)	Backlog (Mit vs Unmit)	Fill Rate

SECTION 3: SIGNATURE FEATURE — THE SUPPLY CHAIN RIPPLE ENGINE

3. Signature Feature: The Supply Chain Ripple Engine (Causal Network Explorer)

Select any upstream node and scrub the timeline from Week 0 to Week 12 to watch how a shock ripples across Physical Material, Informational (MRP/EDI), and Financial links.

EXPLAINABLE DAG PROPAGATION

Disruption Origin Node

Origin Shock Severity (%)

Propagation Timeline: Week 5 of 12

Extra Buffer (+Weeks)

Dual-Source Wafer Qualification

Physical Material Flow Informational Signal (EDI / MRP) Financial Settlement Flow Critical Shortage Node

Assumption Sensitivity Analysis (Which Parameters Drive the Largest Outcome Spread?)

Model Assumption / Lever	Low Case ($/wk)	Base Case ($/wk)	High Case ($/wk)	Sensitivity Spread	Operational Interpretation

SECTION 4: LEGALLY COMPLIANT DATA CONNECTORS & PROVENANCE ARCHITECTURE

4. Open Public Data Connectors, Provenance & Freshness Registry

WorldPulse integrates only open public datasets and documented statistical benchmarks (USGS, NOAA, World Bank LPI, UN Comtrade). It never scrapes restricted websites or fabricates real-time private vessel tracking.

LEGAL & API COMPLIANCE VERIFIED

SECTION 5: CRAWLABLE EDUCATIONAL GUIDE ON GLOBAL SUPPLY CHAIN DISRUPTIONS & RESILIENCE

5. Practitioner Guide: Global Supply Chain Disruptions, Conservation Equations & Network Resilience

How quantitative supply chain planners model maritime chokepoints, multi-echelon ripple propagation, and mitigation economics.

1. Time-Phased Inventory & Backlog Conservation

Every period t in WorldPulse obeys strict material and backlog conservation: EndingInv(t) = max(0, StartInv(t) + Arrivals(t) − Shipped(t)) and Backlog(t) = Backlog(t−1) + Demand(t) − Shipped(t). Crucially, WorldPulse separates Delayed Receipts (cargo held on water during a Cape of Good Hope reroute that arrives in a later week) from Cancelled Supply (permanently lost supplier output that never enters the pipeline unless replaced by an alternate source).

2. Why Structural Graph Degree ≠ Financial Risk

In network science, nodes with many connections (high degree) often appear most important. In real manufacturing networks, a multi-sourced packaging commodity hub (N2-RESIN) may connect to multiple tier-1 assemblies yet pose low financial risk because 3 weeks of buffer stock and spot substitutes exist. Conversely, a single-source wafer foundry (N1-WAFER) with only one downstream link can halt high-margin final vehicle assembly once downstream buffers deplete.

3. Connecting WorldPulse to Forecasting, MRP & SCIerp

After identifying lead-time shifts and buffer requirements in WorldPulse, test demand-uncertainty rules in the Forecast Lab, inspect multi-echelon bullwhip amplification in the Supply Chain Simulator, convert safety stock into reorder points in the Reorder Point Calculator, or execute purchase orders, BOM explosions, and double-entry accounting in SCIerp.