Fuzzy logic expert system for supply chain resilience modelling and simulation

The aim of this paper is to present the concept of the supply chain resilience assessment in the case of disruptive events occurrence. Firstly, the methods for modelling uncertainty in terms of their application to assess this type of risk will be discussed, and then the concept of a fuzzy logic expert model enabling a quantitative assessment of supply chain resilience will be presented. Finally the structure of the simulation model has been proposed, which consists of the partial resilience models, namely: security, survivability and recovery ones. In the course of the simulation process, it is possible to identify the rules involved in system output as well as changes in resilience level which account for changes in inputs values.

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