Identification of tipping points in supply chain dynamics using effective dimension and resilience index

When a supply chain model is translated into a relatively new and revolutionary mathematical dimension that reveals the location of tipping points, a critical resilience index can be extracted that measures whether supply chains are sustainable or close to collapse. This paper shows the translation of supply chain dynamics equations into this effective plane, the extraction of the critical resilience index, and simulation results that show how the resilience index correlates with stability of the supply chain. These results have great potential for improving the understanding of supply chain management, revealing how close a supply chain is to collapse and providing a metric to help make supply chains more sustainable. For example, one potential application is to use this model to ensure that agri-food supply chains are resilient to continue supporting growing populations.