From Hazards To Resilience In Socio-Technical Healthcare Systems

Andersen, Siri; Fairbrother, Peter; Felici, Massimo De; Hanley, James A.; McKinstry, B.; Ure, Jenny

doi:10.4000/books.pressesmines.955

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Cabon et al[89] assessed the risks of flight crews´ fatigue, using insights from RE to identify the contributing factors and risk control measures. Anderson et al[90] presented a classification of socio-technical risks that jeopardize resilience in the use of new technologies in healthcare. The assessment of risks arising from the increasing automation of CSSs has been dealt…”

mentioning

confidence: 99%

A systematic literature review of resilience engineering: Research areas and a research agenda proposal

Righi

Saurin

Wachs

2015

Reliability Engineering & System Safety

275

158

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mentioning

confidence: 99%

A systematic literature review of resilience engineering: Research areas and a research agenda proposal

Righi

Saurin

Wachs

2015

Reliability Engineering & System Safety

275

158

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“…The study by Cabon et al examined flight crew risk using the RE approach to identify influential factors and risk control indicators (Cabon et al, 2008). Anderson et al presented a classification of socio-technical risks that jeopardize the use of new technologies in the healthcare sector (Anderson et al, 2011). The evaluation of the risks of increasing automation levels in CSS has been surveyed in several studies, especially in the aviation industry (Chialastri, 2011) (Nemeth et al, 2011) (Hoffman et al, 2013) (Karikawa et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of resilience engineering in process industries through a novel multi-attribute group decision-making algorithm using interval type-2 fuzzy sets

Bamdad

2022

Preprint

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Nowadays, the promotion of technology has increased the complexity of socio-technical systems, which has led to severe disasters. Human errors and defects in components of a system have previously been recognized as the most important causes of accidents. Still, recent studies have emphasized that the causes of accidents, especially in complex socio-technical systems (CSS), depend on organizational factors, functional changes, and combining a set of unexpected events. With the transition from the traditional static approach to systems, and due to the two features of high interconnectivity and the complexity of modern systems, a new approach called resilience engineering (RE) has been introduced. On the other hand, sophisticated socio-technical systems have a high level of uncertainty that its modeling requires considering tools for dealing with this kind of intricate uncertainty, such as interval type-2 fuzzy sets (IT2FS). In this paper, focusing on process industries, a new algorithm based on multi-criteria group decision-making for evaluating departments of a process industry from RE using the concept of type-2 fuzzy sets is presented. To do this, by introducing the RE criteria in process industries, their weights are calculated as incomplete information received from the decision-makers (DMs). The incompleteness of information is due to the uncertainties in the evaluation of criteria. Then different alternatives are ranked using IT2FS. It is shown that the presented algorithm is relatively consistent with other approaches, and besides simplicity, it has good stability for dealing with different weights for the criteria.

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Combining Failure Mode and Functional Resonance Analyses in Healthcare Settings

Sujan¹,

Felici²

2012

Lecture Notes in Computer Science

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From Hazards To Resilience In Socio-Technical Healthcare Systems

Cited by 3 publications

References 9 publications

A systematic literature review of resilience engineering: Research areas and a research agenda proposal

A systematic literature review of resilience engineering: Research areas and a research agenda proposal

Quantitative assessment of resilience engineering in process industries through a novel multi-attribute group decision-making algorithm using interval type-2 fuzzy sets

Combining Failure Mode and Functional Resonance Analyses in Healthcare Settings

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