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research-article

Modeling and analysis of cascading failures in projects: : A complex network approach

Authors:

Qingye HanAuthors Info & Claims

Volume 127, Issue C

Pages 1 - 7

https://doi.org/10.1016/j.cie.2018.11.051

Published: 01 January 2019 Publication History

Highlights

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This study draws attention to the cascading failures in project.

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Complex network theory is applied to develop cascading failures model to mimic the catastrophe spreading process in project.

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This study can be applied to evaluate the impact of cascading failures on the project.

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This study can be applied to identify the possibility of large cascades.

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This study can give guidance to managers in developing preventive measures to reduce cascade failure risk.

Abstract

Due to the complex integration of the tasks in a project, the failure of a single task can trigger extremely large-scale failures and destroy a considerable part of the overall project. To investigate cascading failures in projects, in this paper, the project is first abstracted as a weighted directed network composed of tasks and task interactions, after which a cascade model that takes account of the project’s self-protection mechanism is developed to examine a failure propagation process originates from a single task failure. The model is then applied to examine cascading failures in a project under three types of single task failures with varying parameters. The experiment results demonstrate that the method is very effective in predicting cascading failures, evaluating the impact of cascading failures on the project, and identifying large cascades. The insights gained from the simulation results have implications for managers in the implementation of protective measures to mitigate cascading failure risk and avert project catastrophes.

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Cited By

Xu KCui YLiu J(2024)Modeling the resilience of liner shipping network under cascading effectsComputers and Industrial Engineering10.1016/j.cie.2024.110559197:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.cie.2024.110559
Zhong XLiu R(2024)Robustness analysis of large scientific facilities development network with different cascading failure modesComputers and Industrial Engineering10.1016/j.cie.2024.110281193:COnline publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1016/j.cie.2024.110281
Zhang LZhou JMa YWang XZhang F(2024)Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modesComputers and Industrial Engineering10.1016/j.cie.2023.109812187:COnline publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.cie.2023.109812
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Modeling and analysis of cascading failures in projects: A complex network approach

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Information & Contributors

Information

Published In

cover image Computers and Industrial Engineering

Computers and Industrial Engineering Volume 127, Issue C

Jan 2019

1352 pages

ISSN:0360-8352

Issue’s Table of Contents

Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 January 2019

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Cited By

Xu KCui YLiu J(2024)Modeling the resilience of liner shipping network under cascading effectsComputers and Industrial Engineering10.1016/j.cie.2024.110559197:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.cie.2024.110559
Zhong XLiu R(2024)Robustness analysis of large scientific facilities development network with different cascading failure modesComputers and Industrial Engineering10.1016/j.cie.2024.110281193:COnline publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1016/j.cie.2024.110281
Zhang LZhou JMa YWang XZhang F(2024)Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modesComputers and Industrial Engineering10.1016/j.cie.2023.109812187:COnline publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.cie.2023.109812
Lv XLi XShen ZJia D(2024)Project portfolio selection considering the hindrance to risk propagation: a dual-objective optimization approachSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-09929-z28:20(11945-11969)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1007/s00500-024-09929-z
Sun MHan LZhang LYin HLiao KHu JFan X(2023)A study on risk propagation and traceability of gas storage based on complex networkProceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security10.1145/3661638.3661703(343-348)Online publication date: 22-Dec-2023
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Dui HLiu KWu S(2023)Cascading failures and resilience optimization of hospital infrastructure systems against the COVID-19Computers and Industrial Engineering10.1016/j.cie.2023.109158179:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.cie.2023.109158
Guo Y(2023)Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approachJournal of Intelligent Manufacturing10.1007/s10845-021-01813-z34:2(615-631)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1007/s10845-021-01813-z
Cheng YYuan JZhu LLi W(2020)Risk Propagation Model and Simulation of Schedule Change in Construction ProjectsComplexity10.1155/2020/88546092020Online publication date: 7-Dec-2020
https://dl.acm.org/doi/10.1155/2020/8854609
Zhao JGuo PZheng WZhang D(2019)A Nonlinear Model for Portfolio Scale Decision-making Considering Project Interdependences2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)10.1109/SMC.2019.8914312(1006-1011)Online publication date: 6-Oct-2019
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