THEME ALIGNMENT

INDUSTRY PROBLEM

Resilience is a multiphase concept, and therefore, prescriptive models for resilience enhancement of CPPS under climate-related disasters should consider different time frames: 1) ex-ante, including strategic planning and short-run preparation, and 2) ex-post, including emergency response and recovery planning. However, a crucial problem of ex-ante prescriptive analytics (PA) for CPPS resilience improvement, e.g., redundancy and repair resource prepositioning, is that a decision (of a set of actions) often must be identified from many alternatives under deep uncertainty of future disruptions caused by violent windstorms. The research gap with existing ex-post PA, which aims at aiding response and recovery after a disruptive event, e.g., optimal emergency operation of flexible resources in power systems and post-disaster scheduling and routing of repair crews, is that effective decisions are hard to make as rapidly as possible in highly time-critical and dynamic post-disaster environments.

The successful implementation of this project can bring significant economic benefits, considering the tremendous losses that disruptions of CPPS might induce, including mitigation of CPPS failures against violent windstorms, CPPS survivability improvement, reduction in recovery time of CPPS service, optimal investment in resilience design and optimal operational resource utilisation during emergencies. Regarding the societal benefits, the project’s results will undoubtedly contribute to the current transformation towards sustainable and resilient societies facing various critical risks, especially global climate change. Also, this project could contribute to developing and reinforcing links and synergies between industrial companies, research centres, and graduate education. Notably, its success will foster business investment in R&D, promote innovation and competitiveness and consequently allow them to create more added value and jobs.