A simulation-based analysis of the impact of a cyber disruption in a supply chain system.
Componente | Categoria |
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Giulio Di Gravio | Tutor di riferimento |
The present research proposal aims to investigate the resilience of cyber-physical systems. This research wants to develop a simulation model that can be used to examine and predict the impacts of a cyber disruption on the supply chain (SC) performance. In this volatile and rapidly changing world, SCs have become more complex and connected and the frequency of SC disruptions seems to be increasing. Today SC are also referred to "smart supply chain" or "cyber supply chain", despite the hype of these terms this explains how the SC context has incorporated in its network the use of new technologies increasing, on the one hand, its efficiency and on the other its vulnerability to cyber risks. Cyber-attacks are not only unpredictable but often completely unknown when they occur. Their constant renewal makes them a complex threat to deal with. The recent COVID-19 outbreak has shown how today¿s lean and globalized SC are extremely prone to unpredictable events with little known effects. Italian companies have shown that there is a lack of proactive approach, the idea that turbulence and instability can be considered episodic crisis is still a common belief that has not contributed to the diffusion of a state of readiness before something happens. Through a state of the art review, the topic of cyber disruption related to smart supply chains will be analyzed in depth, especially with respect to simulation models. Then, possibly using data available from a high-tech manufacturing SC simulate the impact of a cyber-attack on a SC system. The results related to this study will allow companies to rethink their organization from a perspective that is no longer only aimed at detecting the cyber-attack but to be able to adapt its processes ensuring business continuity.