Abstract

Purpose: This study critically examines how supply chains can be systematically reconfigured to withstand global turbulence and market volatility. Recent global disruptions such as pandemics, geopolitical conflicts, climateinduced shocks, and macroeconomic instability underscore a fundamental tension between efficiency and resilience in supply chain design.

Design/Methodology: This study employ a quantitative modeling framework grounded in stochastic optimization, dynamic capability theory, and resilience quantification to investigate supply chain performance under simulated turbulence scenarios. The methodology integrates advanced mathematical models with rigorous resilience metrics to explicate how structural reconfiguration affects volatility propagation and recovery capability.

Findings: Preliminary results demonstrate that reconfigured supply networks—incorporating agility, redundancy, diversified sourcing, and buffer allocations—exhibit statistically significant reductions in performance variability compared to static configurations. Critical thresholds of inventory buffers and network diversification parameters are identified beyond which volatile shocks no longer cascade into systemic failures. The study reveals tradeoffs: efficiency gains typically correlate with decreased buffer capacity, making networks fragile under extreme shocks.

Originality/Value: This research contributes to the growing literature on supply chain resilience by offering a robust quantitative characterization of reconfiguration strategies under explicit volatility regimes. It challenges prevailing managerial assumptions about leanonly strategies and highlights mathematically grounded principles for designing resilient supply chains capable of adapting to global turbulence.