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Risk‐based multiobjective resource allocation in hierarchical systems with multiple decisionmakers. Part I: Theory and methodology
Author(s) -
Yan Zhenyu,
Haimes Yacov Y.
Publication year - 2011
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.20159
Subject(s) - resource allocation , pareto principle , computer science , operations research , process (computing) , resource (disambiguation) , resource management (computing) , scale (ratio) , multi objective optimization , management science , risk analysis (engineering) , engineering , operations management , business , distributed computing , machine learning , geography , cartography , computer network , operating system
Abstract 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. © 2010 Wiley Periodicals, Inc. Syst Eng 14: 1–16, 2011