Modelo de aproximación lineal para la medición de resilienciaen cadenas de suministro

Abstract

The following research aims to the design of a linear metric approximation for the measurement of supply chain resilience under unexpected events. The identification of the system’s resilience level is a key step for the decision making in the prevention and planning of recovery strategies, in the case of a disruptive failure. Traditional measurements of resilience are based on strong simplifications of the evolution of systems’ performance, which leads to an inaccurate analysis of more complex scenarios. A general metric is developed and is validated on a simulated case of a two-echelon supply chain with transportation disruptions. Results proved that previous linear metrics over-estimated the resilience level due to the inability to model different disruptions scenarios. The results suggest that the new approach improved the former linear metric, and provided the required flexibility to model resilience for different systems besides supply chains.