Assessing project criticality in project portfolio: a vulnerability modeling approach

被引:0
|
作者
Bai, Libiao [1 ]
Xie, Xiaoyan [1 ]
Sun, Yichen [1 ]
Qu, Xue [1 ]
Han, Xiao [1 ]
机构
[1] Changan Univ, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Project portfolio; Vulnerability measurement; Criticality assessment; Synergistic degree; Random attack; SOCIAL NETWORK ANALYSIS; URBAN AREAS; UNCERTAINTY; SELECTION; SIMULATION; RISKS;
D O I
10.1108/ECAM-06-2023-0619
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
PurposeAssessing project criticality in a project portfolio (PP) is of great practical significance to improve robustness from damage. While project criticality assessment has increased diversity in approaches, the understanding of vulnerable project impacts is still limited. To promote a better understanding of assessing project criticality, a vulnerability measurement model is constructed.Design/methodology/approachFirst, integrating the tasks, projects and corresponding relationships among them, a project portfolio network (PPN) is constructed. Second, the project's vulnerability is measured by combining the topological structure and functional attributes. Third, project criticality is assessed by the vulnerability measurement results. Lastly, the proposed model is applied in a numerical example to illustrate its suitability and effectiveness.FindingsFor academia, this study provides a novel perspective on project vulnerability measurement and expands project criticality assessment tools. For practitioners, the straightforward model provides an effective tool for assessing project criticality and contributes to enhancing project portfolio management (PPM).Originality/valueThe impact of the task on the project is considered in this study. Topological structure and functional attributes are also integrated for measuring project vulnerability due to the impact of random attacks in an uncertain environment, providing a new perspective on the requirements of project criticality assessment and the measurement of project vulnerability.
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页数:30
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