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Decision‐Making Analytics Using Plural Resilience Parameters for Adaptive Management of Complex Systems
Author(s) -
Thekdi Shital A.,
Santos Joost
Publication year - 2019
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/risa.13209
Subject(s) - resilience (materials science) , complex system , computer science , stakeholder , risk analysis (engineering) , plural , critical infrastructure , scale (ratio) , management science , engineering , business , artificial intelligence , computer security , economics , linguistics , philosophy , physics , management , thermodynamics , quantum mechanics
It is critical for complex systems to effectively recover, adapt, and reorganize after system disruptions. Common approaches for evaluating system resilience typically study single measures of performance at one time, such as with a single resilience curve. However, multiple measures of performance are needed for complex systems that involve many components, functions, and noncommensurate valuations of performance. Hence, this article presents a framework for: (1) modeling resilience for complex systems with competing measures of performance, and (2) modeling decision making for investing in these systems using multiple stakeholder perspectives and multicriteria decision analysis. This resilience framework, which is described and demonstrated in this article via a real‐world case study, will be of interest to managers of complex systems, such as supply chains and large‐scale infrastructure networks.