Assessing the Impact of Cyber-Threats on Smart Manufacturing Systems through a Simulation Study
Smart manufacturing systems can be considered within the Cyber-Physical Systems (CPS) domain, where currently, there is a major concern regarding cybersecurity. Given this situation, this thesis introduces a simulation-based model to assess the repercussions on manufacturing systems' performance under the presence of cybersecurity issues. The objective was to develop experimental scenarios for validating several countermeasures regarded as a Dynamic Intrusion Response, which could potentially reduce the adverse impact of these malicious attacks. The applicability of the assessment models have been validated through the implementation of two different case studies for the manufacturing sector. For case study #1, results have revealed that the impact of cyber-attacks on a tandem manufacturing physical system can be reduced by implementing different static scheduling policies such as increasing capacity of resources and applying more conservative reorder policies, while recovery times do not have the same magnitude of effect. For case study #2, it was discovered that adaptive real-time scheduling policies such as dynamic resource allocation and rerouting of jobs will efficiently reduce the adverse impact of cyber-attacks on an open-shop manufacturing environment.