基于复杂网络的并联式项目群结构脆弱性评估

doi:10.12005/orms.2021.0061

运筹与管理 ›› 2021, Vol. 30 ›› Issue (2): 196-201.DOI: 10.12005/orms.2021.0061

基于复杂网络的并联式项目群结构脆弱性评估

郭宁¹, 郭鹏², 刘洋²

1.西安电子科技大学经济与管理学院,陕西西安 710071;
2.西北工业大学管理学院,陕西西安 710072

收稿日期:2018-09-02 出版日期:2021-02-25
作者简介:郭宁(1987-),女,陕西宜君人,讲师,博士,研究方向为项目风险管理;郭鹏(1962-),男,陕西西安人,博士,教授,博士生导师,研究方向为项目管理;刘洋(1989-),男,陕西西安人,博士,研究方向为项目管理和系统工程。
基金资助:
国家自然科学基金资助项目(72002161);中央高校基本科研业务费专项资金资助项目(XJS200602)

Structural Vulnerability of Parallel Type Programme Based on Complex Networks

GUO Ning¹, GUO Peng², LIU Yang²

1. School of Economics and Management, Xidian University, Xi'an 710071, China;
2. School of Management, Northwestern Polytechnical University, Xi'an 710072, China

Received:2018-09-02 Online:2021-02-25

摘要/Abstract

摘要： 运用复杂网络研究并联式项目群的结构脆弱性。将项目群中的任务用节点表示、任务之间的依赖关系用边表示,依据任务的工期确定点权、任务之间的依赖强度确定边权,则并联式项目群被抽象为一个有向加权网络。在分析并联式项目群网络拓扑特征的基础上,构建并联式项目群脆弱性评估模型,并对一个并联式项目群进行脆弱性评估。仿真结果表明该方法可以对并联式项目群脆弱性进行定量化评估、能够有效识别结构中的脆弱环节。本研究为保障项目群顺利实施、抵御风险提供了新的思路。

关键词: 脆弱性, 项目群, 复杂网络, 拓扑结构

Abstract: This paper applies complex networks to study the structural vulnerability of parallel type programme. First, it takes tasks as nodes, the relationships among the tasks as edges, the duration of tasks as node weight, and the strength of tasks' dependence as edge weight, thus the parallel type programmeis abstracted as a weighted directed network. Subsequently, a novel vulnerability model is designed to calculate the structural vulnerability of parallel type programme. Then, the proposed approach is applied to a parallel type programme to evaluate the vulnerability and is demonstrated to be effective in assessing the vulnerability and identifying the weaknesses in programme. Overall, the study can assist indeveloping proactive risk approaches to enhance successful megaproject completion.

Key words: vulnerability, programme, complex network, topological structure

中图分类号:

C935
F284

郭宁, 郭鹏, 刘洋. 基于复杂网络的并联式项目群结构脆弱性评估[J]. 运筹与管理, 2021, 30(2): 196-201.

GUO Ning, GUO Peng, LIU Yang. Structural Vulnerability of Parallel Type Programme Based on Complex Networks[J]. Operations Research and Management Science, 2021, 30(2): 196-201.

参考文献

[1] Martinsuo M, Hoverfält P. Change program management: toward a capability for managing value-oriented, integrated multi-project change in its context[J]. International Journal of Project Management 2018, 36(1): 134-146.
[2] 汪玉亭,张可,丰景春,薛松,崔敬浩.基于子网络的项目群工期延误惩罚模型研究[J].运筹与管理,2017,26(6):191-199.
[3] Chapman R J. A framework for examining the dimensions and characteristics of complexity inherent within rail megaprojects[J]. International Journal of Project Management 2016, 34(6): 937-956.
[4] Flyvbjerg B. What you should know about megaprojects and why: an overview[J]. Project management journal 2014, 45(2): 6-19.
[5] 丰景春,胡正人,任亚芳,王龙宝.项目群视角下大中型工程合同项目工期奖励模型[J].系统工程理论与实践,2012,32(6):1369-376.
[6] Johansson J, Hassel H. An approach for modelling interdependent infrastructures in the context of vulnerability analysis[J]. Reliability Engineering & System Safety 2010, 95(12): 1335-1344.
[7] Fidan G, Dikmen I, Tanyer A M, Birgonul M T. Ontology for relating risk and vulnerability to cost overrun in international projects[J]. Journal of Computing in Civil Engineering 2011, 25(4): 302-315.
[8] Zhang H. A redefinition of the project risk process: using vulnerability to open up the event-consequence link[J]. International journal of project management 2007, 25(7): 694-701.
[9] 季闯,黄伟,袁竞峰,李启明,李荣平.基础设施PPP项目脆弱性评估方法[J].系统工程理论与实践,2016,36(3):613-622.
[10] Vidal L A, Marle F. A systems thinking approach for project vulnerability management[J]. Kybernetes, 2012, 41(1/2): 206-228.
[11] Arianos S, Bompard E, Carbone A, Xue F. Power grid vulnerability: a complex network approach[J]. Chaos 2009, 19(1): 013119.
[12] Bompard E, Wu D, Xue F. Structural vulnerability of power systems: a topological approach[J]. Electric Power Systems Research 2011, 81(7): 1334-1340.
[13] Deng Y, Li Q, Lu Y. A research on subway physical vulnerability based on network theory and FMECA[J]. Safety Science 2015, 80: 127-134.
[14] Wagner S M, Neshat N. Assessing the vulnerability of supply chains using graph theory[J]. International Journal of Production Economics 2010, 126(1): 121-129.
[15] Latora V, Marchiori M. Vulnerability and protection of infrastructure networks[J]. Physical Review E 2005, 71(1): 015103.
[16] Dwivedi A, Yu X. A maximum-flow-based complex network approach for power system vulnerability analysis[J]. IEEE Transactions on Industrial Informatics 2013, 9(1): 81-88.
[17] 李海凌,刘克剑,陶学明.面向工程项目群实施阶段的HTCPN过程建模[J].系统工程,2012(10): 78-85.
[18] Lycett M, Rassau A, Danson J. Programme management: a critical review[J]. International Journal of Project Management 2004, 22(4): 289-299.
[19] Maylor H, Brady T, Cooke-Davies T, Hodgson D. From projectification to programmification[J]. International Journal of Project Management 2006, 24(8): 663-674.
[20] 吴艳霞,胡海青,申团营.企业技术创新项目群风险与周期评估的组合GERT网络模型研究[J].管理工程学报,2007,21(2):55-58.
[21] Project Management Institute. A Guide to the Project Management Body of Knowledge(PMBOK R○ Guide)—Fifth Edition[M]. 2013.
[22] Ellinas C, Allan N, Johansson A. Project systemic risk: application examples of a network model[J]. International Journal of Production Economics 2016, 182: 50-62.
[23] Park K, Lai Y C, Ye N. Characterization of weighted complex networks[J]. Physical Review E Statistical Nonlinear & Soft Matter Physics 2004, 70(2): 026109.
[24] Newman M E, Girvan M. Finding and evaluating community structure in networks[J]. Physical review E 2004, 69(2): 026113.
[25] Leicht E A, Newman M E. Community structure in directed networks[J]. Physical review letters 2008, 100(11): 118703.
[26] 汪小帆,刘亚冰.复杂网络中的社团结构算法综述[J].电子科技大学学报,2009,38(5):537-543.
[27] Latora V, Marchiori M. Efficient behavior of small-world networks[J]. Phys Rev Lett 2001, 87(19): 198701.
[28] Opsahl T, Agneessens F, Skvoretz J. Node centrality in weighted networks: generalizing degree and shortest paths[J]. Social Networks, 2010, 32(3): 245-251.
[29] Rocco S C M, Ramirez-Marquez J E. Vulnerability metrics and analysis for communities in complex networks[J]. Reliability Engineering & System Safety, 2011, 96(10): 1360-1366.

基于复杂网络的并联式项目群结构脆弱性评估

Structural Vulnerability of Parallel Type Programme Based on Complex Networks

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