Risk-Based Multiobjective Resource Allocation in Hierarchical Systems with Multiple Decisionmakers. Part I: Theory and Methodology

被引:8
|
作者
Yan, Zhenyu [1 ]
Haimes, Yacov Y. [1 ]
机构
[1] Univ Virginia, Ctr Risk Management Engn Syst, Charlottesville, VA 22903 USA
基金
美国国家科学基金会;
关键词
hierarchical multiobjective analysis; risk management; resource allocation; Pareto optimality; OPTIMIZATION;
D O I
10.1002/sys.20159
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper sets forth a resource allocation process for mitigating the risks that natural disasters, accidents, or willful attacks pose to large-scale hierarchical systems. Such systems are typically comprised of plural decisionmakers at each organizational level, each with multiple risk management objectives. In this paper, we propose a Multiobjective Multi-Decisionmaker Resource Allocation (MOMDRA) framework to model this process; we also offer a discussion of risk modeling methods under the MOMDRA framework. Furthermore, using a Hierarchical Multiobjective (HMO) approach, this paper derives strategies for generating Pareto optimal resource allocation options for different cases of decisionmakers. An illustrative example demonstrates the effectiveness of the MOMDRA framework in risk-based modeling and decisionmaking within large-scale hierarchical systems. (C) 2010 Wiley Periodicals, Inc. Syst Eng 14: 1-16, 2011
引用
收藏
页码:1 / 16
页数:16
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