Resilience indices from a family of recovery functions  被引量:1

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作  者:Loon Ching Tang Lijuan Shen 

机构地区:[1]Department of Industrial Systems Engineering and Management,National University of Singapore,117576 Singapore [2]ETH Zurich,Future Resilient Systems,Singapore-ETH Centre,138602 Singapore

出  处:《Fundamental Research》2024年第1期13-20,共8页自然科学基础研究(英文版)

基  金:This work is supported by the National Research Foundation,Prime Minister's Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)program on Future Resilient Systems phase 2(FRS2).

摘  要:Defining and measuring resilience using a unified framework has been a topic of intense research.This article presents a perspective on how resilience could be quantitatively assessed through a set of indices.It starts with a brief explanation of resilience in the context of supply chain and a quick summary of existing quantitative measures of resilience.It then discusses how resilience could be quantified in a constructive manner so that the resulting metrics are representative of the performance throughout the system's life cycle.In particular,it is proposed that resilience should be evaluated according to different time periods,i.e.before,during and after a disruption has occurred.Four dimensions of resilience,namely reliability,robustness,recovery and reconfigurability,can then be used to make up a set of indices for resilience.For numerical illustration,these indices are computed based on recovery data arising from Hurricane Sandy in October 2012.Finally,it is postulated that resilience will be the performance metric that complements productivity and sustainability as the third pillar for measuring success of organizations,and in turn,that of sovereign countries in their quests for developing smart cities.

关 键 词:Systems resilience Recovery function Recovery index Robustness index RECONFIGURABILITY 

分 类 号:O174[理学—数学]

 

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