Modelling for resource risk propagation in dynamic heterogeneous project portfolio network

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Libiao Bai , Tiantian Tang , Yichen Sun , Xiaoyan Xie , Chenshuo Wang
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引用次数: 0

Abstract

Project portfolio (PP) exists resource risk that propagates because of the relationships among projects arising from resource sharing. While earlier research has highlighted the necessity to control PP resource risk (PPRR) propagation, research that can provide an in-depth analysis of PPRR propagation remains lacking. This paper proposes a PPRR propagation model to bridge this gap by applying the SIR model to PP network (PPN). In the PPRR propagation model, the dynamics and heterogeneity that PPN is characterized are analyzed, following which the dynamic heterogeneous PPN is visualized. Then, the susceptible-infected-removed (SIR) model is improved considering the dynamics and heterogeneity of PPN. Thereafter, the applicability of the PPRR propagation model is verified by a numerical example. This paper enriches theories related to PPRR management and infectious disease model. Meanwhile, utilizing the PPRR propagation model, control measures for PPRR propagation from the perspectives of infection source and immunization strategy can be obtained.
动态异构项目组合网络中的资源风险传播建模
项目组合(PP)存在资源风险,这种风险因资源共享引起的项目间关系而传播。虽然早期的研究已经强调了控制项目组合资源风险(PPRR)传播的必要性,但仍缺乏对 PPRR 传播进行深入分析的研究。本文通过将 SIR 模型应用于 PP 网络(PPN),提出了一种 PPRR 传播模型,以弥补这一空白。在 PPRR 传播模型中,首先分析了 PPN 的动态性和异质性特征,然后将动态异质性 PPN 可视化。然后,考虑到 PPN 的动态性和异质性,改进了易感-感染-移除(SIR)模型。之后,通过一个数值实例验证了 PPRR 传播模型的适用性。本文丰富了 PPRR 管理和传染病模型的相关理论。同时,利用 PPRR 传播模型,可以从传染源和免疫策略的角度得出 PPRR 传播的控制措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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