A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system

Mimicking nature for resilient resource and infrastructure network design

“…Comparing and understanding the advantages and limitations of the proposed bio-inspired framework against other novel resilience analysis and optimization techniques is essential (proposed in recent literature for supply chains [80] , [81] , [82] , [83] , [84] , [85] , [86] as well as infrastructure networks in general [87] , [88] , [89] , [90] ). The bio-inspired design must be tested and validated with a variety of disruption scenarios (e.g.…”

Organizational resilience in the oil and gas industry: A scoping review

“…Another important approach in the study of resilience is the application of Bayesian networks that are probabilistic models that have often been used for decision-making and risk assessment in areas such as software development, safety management and traffic accidents ( Hosseini and Barker, 2016 , Hossain et al, 2019 ). Bayesian models facilitate the analysis of the relationship between available information and uncertainty in complex systems.…”

Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach

“…Maintenance, availability of additional capital equipment, and skillful response team are the mainstay of the port absorptive capacity. Adaptive capacity, which is considered to be the midline of defense, is described as the ability of a system to selforganize itself and provide immediate solutions to cope with the external shock without any recovery activity [25,26,35]. Alternate routing and relocating of resources are the key factors germane to the adaptive capacity within port infrastructure.…”

“…Alternate routing and relocating of resources are the key factors germane to the adaptive capacity within port infrastructure. Restorative capacity considered to be the last line of defense is the degree to which a system can efficiently repair or restore from the degraded state [35]. Within the restorative capacity of port infrastructure, two salient determinants are identified: restoration of resources and restoration of service.…”

“…BN accounts for all causal factors to produce a final model, to reduce the burden of parameter acquisition, and to overturn the previous assumption by taking new evidences into consideration such as subjective belief and objective data [34]. The Bayesian approach has been used in different domains and applications such as electrical infrastructure system [35], security management [36], customer service management [37], traffic accidents [38], manufacturing systems [39], natural resource management [40,41], power system [42], and data classification [43], electric vehicle [44], and supply chain and logistics [45,46]. An overview of BN is presented below, followed by the identification of the criteria and subcriteria that impact the Complexity 3 Table 1: Current themes of the port literature.…”