Analysis of quantitative methods to evaluate resilience in a supply chain netwotk

This thesis, starting from an analysis of the existing literature, aims to identify and analyze a range of methods for the quantitative calculation of resilience in the supply chain with a focus in the event of disruption. With the development of globally distributed supply chains, the topic has been increasingly analyzed and various approaches and methodologies have been proposed in the literature to address the complex management, improvement techniques and study of possible dangers. In fact, the activities carried out in the distribution chain have an intrinsic risk of unforeseen interruptions due to factors such as an ever-increasing tendency to offer lean and just in time services, the deterioration rate in products and the uncertainty of demand that have reduced the time available to manage any unexpected events. The need to deal with unknown events has become even more evident with the recent Covid-19 pandemic, which has forced many companies to modify or completely suspend their processes temporarily due to unforeseen interruptions becasue of events like local quarantines and lock downs, also to drastic changes in procurement and means of distribution. What this thesis will therefore deal with are the quantitative methods that allow the numerical evaluation of the resilience of a supply chain, this kind of metods allows to take into consideration various aspects and characteristics of the supply chain, such as impact on performance, recovery time, economic damage and time of survival, to compare different chains and be able to evaluate the possible degree of improvement.