Disruption Management for Resilient Processes in Cyber-physical Production Systems

Abstract

The increasing complexity and dynamics of cyber-physical production systems (CPPS) lead to a high vulnerability to disturbances during production processes. In the event of process disruptions, decisions must be made in short time in order to minimize the impact on production systems. In this paper, a simulation-based decision support for the disruption management process in a resilient cyber-physical production system is presented. Scenarios for disruption events and response strategies are modeled and simulated. The simulation results for each disruption event scenario are evaluated and the best possible strategy is recommended to the decision-maker including the expected impact on production processes.

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