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Resilient-to-Fragile Transition and Excess Volatility in Supply Chain Networks

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arxiv 2601.20450 v2 pith:ZC5SPCLI submitted 2026-01-28 physics.soc-ph cond-mat.dis-nncond-mat.soft

Resilient-to-Fragile Transition and Excess Volatility in Supply Chain Networks

classification physics.soc-ph cond-mat.dis-nncond-mat.soft
keywords shocksthresholdvolatilityboundaryfirmsidiosyncraticinventoriessupply
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We study a production network in which firms use non-substitutable (Leontief) inputs, hold precautionary inventories and face idiosyncratic productivity shocks, with adjustment occurring through quantities rather than prices. We show analytically and numerically that a critical boundary exists in the space of shock volatility and inventory holdings: above this threshold, the economy absorbs shocks and fluctuates mildly while below it, cascading shortages make system-wide crises inevitable. Close to the threshold, aggregate output volatility diverges through network-mediated amplification of purely idiosyncratic shocks, providing a concrete mechanism for the ``small shocks, large business cycles'' puzzle. Because inventories are costly, competitive pressure drives firms toward the fragility boundary: a resilience-efficiency trade-off emerges, putting the gains from lean supply chains at risk. Finally, we show that supplier diversification shifts the threshold and, depending on its abundance, can eliminate the fragile regime entirely.

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Cited by 2 Pith papers

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  1. Impact of capacity volatility and input substitutability on supply chain resilience

    cond-mat.stat-mech 2026-06 unverdicted novelty 5.0

    In long supply chains, reducing capacity volatility outperforms increasing average capacity for resilience, while input substitutability and supplier diversification via network topology further disperse shocks and ra...

  2. Non-Equilibrium Economics: A Physicist's Point of View

    econ.TH 2026-07 conditional novelty 4.5

    Three generic non-equilibrium mechanisms—multiplicity/trapping, dynamical non-convergence, and self-organized criticality—can generate excess volatility, crises, and inequality without large exogenous shocks.