LAUSR

Abstract In the frameworks of supply chain risk management, dynamics, and resilience, control theoretic approaches can be considered as useful tools to tackle the issues of performance achievement under operational and disruption risks. New analytics technologies in the framework of Industry 4.0, big data analytics and artificial intelligence resulted in the creation of new domains, i.e., cyber physical supply chains and supply chain risk analytics. As such two trends can be observed, i.e., integration of analytics into control theory (so called intellectualization of control) and integration of analytics into supply chain risk management (so called cyber-physical supply chains and risk analytics). This study brings the discussion forward by integrating these two perspectives. It analyses how control theory can enhance the risk analytics in the cyber-physical supply chain. Based on literature and case-study analysis, the frameworks of cyber physical supply chain and risk analytics control are derived. In this setting, further development of interdisciplinary approaches to supply chain optimization and simulation with disruption risk considerations on the basis of control analytics is argued.