Critical review of literature about industrial plants resilience computation

Resilience is a performance measure that represents both the ability of a system to resist disruptive events and the ability to quickly recover the operational state by restoring the initial capacity. The added value of resilience analysis, compared to established vulnerability and risk analyses, is to describe the temporal evolution of the consequences of the disruptive event, by analysing the time-phased path of capacity recovery as well as consider medium-long term effects. While resilience is a widely discussed topic in the fields of utilities networks and civil infrastructures, only recently the concept has been applied to industrial systems such as production plants. Referring to this latter domain, in order to assess the state of the art and identify research gaps and topics deserving further investigation, a critical review of literature is carried out in this paper. In particular, the different conceptual steps involved in resilience estimation are separately addressed, namely disruptive event characterization, damage states assessment, scenarios generation, initial capacity loss estimation, time trend of capacity recovery, economic loss analysis, resilience quantification. For each step the suggested approaches are critically compared, highlighting their strengths and weaknesses. A morphological matrix approach is then used to classify the existing models and identify opportunities for developing more effective resilience modelling tools and methods.