Continuous Risk-Aware Response Generation for Maritime Supply Chain Disruption Mitigation

Supply chains in the current world require extensive use of transportation modes. In combination with ever growing supply chain streamlining efforts, supply chains are particularly vulnerable to disruptions that cause profound effects on downstream actors. Much information is needed to mitigate disruptions, information that could be gathered via a maritime Internet of Things (mIoT). In this paper, we put forth a methodology to detect potentially disruptive events in a maritime supply chain and generate candidate mitigating responses. The proposed framework places risk as the cornerstone of the data-driven analysis and uses a multi-criteria decision approach to propose appropriate actions. An application of the system to mitigate a disruption in a maritime segment of a supply chain is studied. Solutions are composed of combinations of actions to reduce the consequences of a disruption. This system is validated through a scenario in which a weather event causes a disruption in maritime transportation destined to fulfill a supply contract. Finally, conclusions on the system are provided.