Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions

Supply chains (SCs) operate in a highly disruptive environment, where they face variety of disruptions product and cash flows. In such an determining suitable inventory replenishment policies ensures that are at the right place time provides productive SC with high customer service levels. this study, we first examine impact physical financial flows on performance. We then, investigate potential digital twin framework to help decision-makers managing throughout during disruption, currently absent from literature. The proposed integrates machine learning (ML) simulation identify minimise This approach proves effective disrupted by demand increase, capacity reduction, credit purchase increase. Results show employing leads noticeable reduction conversion cycle for upstream members SCs. observe is greatly impacted policy employed their immediate downstream members.