Applying Importance Measures to Risk Analysis in Engineering Project Using a Risk Network Model

被引:23
|
作者
Fang, Chao [1 ]
Marle, Franck [2 ]
Xie, Min [3 ]
机构
[1] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Hubei, Peoples R China
[2] Ecole Cent Paris, Lab Genie Ind, F-92290 Chatenay Malabry, France
[3] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2017年 / 11卷 / 03期
关键词
Complexity; importance measures (IMs); project management; risk analysis; risk interaction; MEAN-VARIANCE ANALYSIS; COMPLEX NETWORKS; MANAGEMENT; SYSTEM; DESIGN; PRIORITIZATION; PERFORMANCE; IMPACT;
D O I
10.1109/JSYST.2016.2536701
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Risk analysis and prioritization are a key process in project risk management (PRM). Its outcomes serve as input of the risk response planning process where decisions are made. Complexity of projects is characterized by the emergence of phenomena that are difficult to detect and to manage using classical methods. It may disturb risk assessment, on which priorities are further established. This paper aims at using importance measure (IM) techniques in the complex PRM field. This involves modeling the complex project risk network and providing complementary analysis results based on risk IMs accounting for risk interactions. These new project risk indicators allow the manager for a more comprehensive understanding of the risks. An application to a complex engineering project is provided to illustrate this approach to assess both risks and risk interactions, to establish priorities for further decision making.
引用
收藏
页码:1548 / 1556
页数:9
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