Research on system resilience recovery based on time, spare parts and task importance

Kangkang Dou, Xiaosong Cui, Zhen Li, Xiaocheng Ge, Chen Xu Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


As one of the important attributes of the system, more and more attention has been paid to the resilience of the system, and the system should recover as many key tasks as possible within the specified time after the damage. Therefore, the corresponding recovery strategy and the extent to which it can be recovered are very important for the resilience of the system. In response to this situation, this article proposes a new fitness function considering time and spare parts constraints, task importance and other factors for two wartime situations. The genetic algorithm is used to solve the maximum value of the system recovery task importance within a specified time, to obtain a satisfactory solution for the model, and applies it to ship system. In the simulation example, the comparison shows that the system using this algorithm has higher resilience recovery ability, which proves the effectiveness of the random model and algorithm.

Original languageEnglish
Title of host publicationConference Proceedings of the 8th International Symposium on Project Management, ISPM 2020
EditorsWan You, Changbo Cheng, Henry Zhang
PublisherAussino Academic Publishing House
Number of pages14
Volume1 of 2
ISBN (Electronic)9781921712722
ISBN (Print)9781713815891
Publication statusPublished - 1 Aug 2020
Event8th International Symposium on Project Management - Beijing, China
Duration: 4 Jul 20205 Jul 2020
Conference number: 8


Conference8th International Symposium on Project Management
Abbreviated titleISPM 2020


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