Faith and fakes – dealing with critical information in decision analysis

Nielsen, Linda; Glavind, Sebastian Tølbøll; Qin, Jianjun; Faber, Michael Havbro

doi:10.1080/10286608.2019.1615476

Cited by 37 publications

(20 citation statements)

References 26 publications

(21 reference statements)

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“…The sole basis for decisions is the information available about the considered system 74 . This article emphasizes a method for the preparation of measured data purposefully collected with nondestructive testing methods on site for the explicit use as basic variables in reliability assessment of existing concrete structures.…”

Section: Discussionmentioning

confidence: 99%

Reliability assessment of existing structures using results of nondestructive testing

Küttenbaum

Braml

Taffe

et al. 2021

Structural Concrete

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Making optimal decisions about the reliability of existing structures requires that the information used in assessment adequately represents the properties and the condition of the structures. The knowledge gap regarding a structure to be assessed can be successively filled by individually purposeful observations on site. This paper gives an overview of an approach for utilizing nondestructively gathered measurement results in reliability assessment of existing structures. An essential part of measurement‐based stochastic modeling of basic variables is the calculation of measurement uncertainties, which serves to establish confidence in measurement, to ensure the comparability of unambiguously expressed measurement results, and to quantify the quality of the measured information. Regarding the current discourse on how to treat information collected on‐site in the context of assessment, the authors recommend that measurement uncertainty becomes an uncertainty component mandatorily to be represented in measurement‐based stochastic models. The main steps of the proposed concept are presented, and the advantages of its application are emphasized by means of a prestressed concrete bridge as case study. The bridge is assessed regarding the serviceability limit state decompression using ultrasonic and radar data measured at the structure.

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Section: Discussionmentioning

confidence: 99%

Reliability assessment of existing structures using results of nondestructive testing

Küttenbaum

Braml

Taffe

et al. 2021

Structural Concrete

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“…However, in data oriented decision-making, data security is defined as a risk. To manage the risk of mis/disinformation, which influences the final decision, Nielsen et al in 2019 suggested providing a mapping of how information affects the decision-making context [89]. Another problem in group decision-making is information security.…”

Section: Risk Managementmentioning

confidence: 99%

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Ardebili

Padoano

2020

Sustainability

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The most critical decisions usually involve several decision makers with different roles and opportunities to commit key resources. Several group decision-making (GDM) approaches can support the identification of a joint or compromise decision in less conflicting settings, where there is a group of subjects (e.g’, partners) who pursue a common overall objective. However, considering the uncertainty in future events and complexity of modern-day systems, decision processes do not always produce beneficial results or give the participants a positive perception of their role in the process. Group decision-making should then take into consideration some aspects that might insure future resilience and sustainability, particularly the achievement of the objectives in view of future risks and the transparency and participation that are needed to limit problems in the implementation phase of the decision. The literature survey presented in this study identified a research gap regarding GDM. Differently from traditional GDM, which was first discussed in the early 1980s and whose body of knowledge is pretty defined, resilient and sustainable GDM (R&S GDM) is fairly new. The main objective of this study is then identifying the main attributes for supporting sustainable and resilient group decisions. To this aim, a preliminary focused systematic review was conducted to study the existing group decision-making methods in the literature and how the concepts of sustainability and resilience have been employed. After defining the search keywords and exclusion criteria for the individuation of the articles, the first screening process was carried out and the most relevant articles were selected. The last steps of the systematic review were the classification of the articles and the full paper examination to extract the main factors of R&S GDM. Seven attributes were listed as the key factors of R&S GDM. In light of those factors, a group decision process concerning an injection moulding line in Tajikistan was investigated. The case study highlighted that over self-confidence, information flow and transparency were the main reasons for faulty decisions, thus suggesting that information system and information fluidity play an important role in R&S GDM. Finally, the most important managerial implications of R&S GDM are reported.

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“…There are four types of disturbance events defined by (Faber, 2019) and exemplified by (Nielsen et al 2019) for information channels;…”

Section: Proceedings Of the 30th European Safety And Reliability Confmentioning

confidence: 99%

Metrics for Bridge Resilience Indicators

Turksezer

Limongelli

Faber³

2020

Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conf

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Numerous past events have shown that natural and anthropogenic hazards have the potential to cause significant societal losses through damages to infrastructure systems and associated disruptions of societal functionalities. Examples hereof count the hurricanes Katrina and Rita in the USA, the attack on the Old Mostar bridge in Bosnia and Herzegovina during the Balkan war and the failure of the Morandi bridge in Italy. The degree to which such events impose consequences and impair or reduce societal service provisions is commonly assessed through the concept of resilience. Societal resilience may be significantly supported by safe, sustainable, and resilient infrastructure systems. Several studies have been undertaken by researchers with regards to the concept of resilience management to enhance decisions on the infrastructural systems. An indicator-based framework has been presented in reference (Turksezer, Limongelli, and Faber 2020) to provide a tool to assist the decision maker in service life management of infrastructure resilience. In principle, using this framework, the decision maker may estimate the resilience of the system through observable characteristics (resilience indicators) and assess the efficiency of different design or intervention measures. This paper aims to propose a number of metrics for the resilience indicators that can facilitate the practical implementation of the framework.

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Faith and fakes – dealing with critical information in decision analysis

Cited by 37 publications

References 26 publications

Reliability assessment of existing structures using results of nondestructive testing

Reliability assessment of existing structures using results of nondestructive testing

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Metrics for Bridge Resilience Indicators

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