Abstract: This paper proposes a model aimed at investi-
gating safety and security issues in fresh good supply
chain. Particular attention is paid on fresh goods contam-
ination since the increasing complexity of supply chains
makes these events more likely to happen. To this end, a
discrete event simulator (DES) underpinned by an analy-
tical model has been developed as a support tool for
prevention and mitigation. Indeed, the simulation
model is able to recreate the disruption wave propagation
along the supply chain due to a contamination event as
well as the effects on the dynamic evolution of contami-
nated products demand taking into account complex
phenomena like media campaigns. In addition, even the
economic impacts in terms of costs (i.e. transportation
costs, inventory costs, and lost sales) can be assessed.
The potentials of the proposed simulation framework
have been investigated in a real case study of a fresh
food supply chain located in the north of Italy.