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SCN Global Flow Monitor — Supply Chain Network Dynamics

▲ 244 points 128 comments by eliotho 5w ago HN discussion ↗

Pangram verdict · v3.3

We believe that this document is fully AI-generated

99 %

AI likelihood · overall

AI
0% human-written 100% AI-generated
SEGMENTS · HUMAN 0 of 1
SEGMENTS · AI 1 of 1
WORD COUNT 117
PEAK AI % 99% · §1
Analyzed
Jul 24
backend: pangram/v3.3
Segments scanned
1 windows
avg 117 words each
Distribution
0 / 100%
human / AI fraction
Verdict
AI
Pangram v3.3

Article text · 117 words · 1 segments analyzed

Human AI-generated
§1 AI · 99%

Disruption Scenario Shock Target Scenario Preset Capacity Retained 30% Demand Elasticity ε 0.10 Supply Elasticity η 0.10 Horizon 26 wks Shock target   Collapse >60% Degraded 10–60%   Insulated Overland / pipeline SIMULATION — stress test, not a forecast · UN Comtrade 2025 reported flows (sanctioned / unreported trade not represented) · arXiv:2607.17491

Market Price p(t) Downstream Flow Losses Emergency Stockpile Drawdown (% remaining) Model & calibration: Supply Chain Networks — fluid-stochastic network clearing, Skorokhod inventory dynamics, endogenous pricing with strategic trade rebalancing. Stockpile-depletion events shown for net-importer emergency buffers; exporter buffers are elastic-supply accounts (see paper §5.2). Capacity-retained settings bundle bypass infrastructure (e.g., East–West & Habshan–Fujairah pipelines for Hormuz). No rationing policy is modeled: buffers drain mechanically. arxiv.org/abs/2607.17491