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 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 proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Conference Proceedings of the 8th International Symposium on Project Management, ISPM 2020
Editors	Wan You, Changbo Cheng, Henry Zhang
Publisher	Aussino Academic Publishing House
Pages	1045-1058
Number of pages	14
Volume	1 of 2
ISBN (Electronic)	9781921712722
ISBN (Print)	9781713815891
Publication status	Published - 1 Aug 2020
Event	8th International Symposium on Project Management - Beijing, China Duration: 4 Jul 2020 → 5 Jul 2020 Conference number: 8

Conference

Conference	8th International Symposium on Project Management
Abbreviated title	ISPM 2020
Country/Territory	China
City	Beijing
Period	4/07/20 → 5/07/20

Cite this

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

abstract = "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.",

keywords = "Genetic Algorithm, Recovery Strategy, Resilience, Spare Parts, Task Importance",

author = "Kangkang Dou and Xiaosong Cui and Zhen Li and Xiaocheng Ge and Sun, {Chen Xu}",

note = "Publisher Copyright: {\textcopyright} 8th International Symposium on Project Management, ISPM 2020. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 8th International Symposium on Project Management, ISPM 2020 ; Conference date: 04-07-2020 Through 05-07-2020",

year = "2020",

month = aug,

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language = "English",

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publisher = "Aussino Academic Publishing House",

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Dou, K, Cui, X, Li, Z, Ge, X & Sun, CX 2020, Research on system resilience recovery based on time, spare parts and task importance. in W You, C Cheng & H Zhang (eds), Conference Proceedings of the 8th International Symposium on Project Management, ISPM 2020. vol. 1 of 2, Aussino Academic Publishing House, pp. 1045-1058, 8th International Symposium on Project Management, Beijing, China, 4/07/20.

Research on system resilience recovery based on time, spare parts and task importance. / Dou, Kangkang; Cui, Xiaosong; Li, Zhen et al.

Conference Proceedings of the 8th International Symposium on Project Management, ISPM 2020. ed. / Wan You; Changbo Cheng; Henry Zhang. Vol. 1 of 2 Aussino Academic Publishing House, 2020. p. 1045-1058.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on system resilience recovery based on time, spare parts and task importance

AU - Dou, Kangkang

AU - Cui, Xiaosong

AU - Li, Zhen

AU - Ge, Xiaocheng

AU - Sun, Chen Xu

N1 - Conference code: 8

PY - 2020/8/1

Y1 - 2020/8/1

N2 - 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.

AB - 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.

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KW - Recovery Strategy

KW - Resilience

KW - Spare Parts

KW - Task Importance

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BT - Conference Proceedings of the 8th International Symposium on Project Management, ISPM 2020

A2 - You, Wan

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T2 - 8th International Symposium on Project Management

Y2 - 4 July 2020 through 5 July 2020

ER -

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

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