A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry

Shirali, Gholam Abbas; Mohammadfam, Iraj; Ebrahimipour, V.

doi:10.1016/j.ress.2013.05.003

Cited by 117 publications

(63 citation statements)

References 18 publications

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“…Management commitment significantly influences safety self-efficacy and safety awareness through teamwork and supervision (21). Some studies recognized management commitment as the most important indicator of resilience (14,22). Rahimi Pordanjani and Mohammadzade Ebrahimi demonstrated that management commitment to safety and conscientiousness has a direct impact on the performance of safety and safety selfefficacy (23).…”

Section: Discussionmentioning

confidence: 99%

“…Several studies introduced different indicators for assessment of resilience (13,14) and mostly considered some indicators, and did not cover all aspects of resilience. In the recent years, organizational components have been considered as the main factor affecting safety in addition to technology and human factors.…”

Section: Introductionmentioning

confidence: 99%

“…In the recent years, organizational components have been considered as the main factor affecting safety in addition to technology and human factors. Organizational factors are considered very important because they can function as an early informant (14). Therefore, it is recommended for appropriate indicators to be determined in separate dimensions, including organizational, technical, and human dimension.…”

Section: Introductionmentioning

confidence: 99%

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Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

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Background: Resilience engineering is a new approach for safety management. The purpose of this paper was to determine indicators constructing organizational resilience as an important part of overall resilience. Methods: This was a qualitative study. The data collection method was semi-structured interviews as well as the discussion group method. The data were analyzed with conventional qualitative content analysis. Results: Overall, 232 primary codes were classified in 81 sub-indicators and 11 indicators. Eleven indicators were as follows: management commitment, performance management system, flow of information/communication, involvement culture, error management system, education, preparedness, flexibility, innovation culture, change management, and human resource management. Conclusions: Refineries and other firms are recommended to evaluate the situation of any identified indicators, therefore, they can promote the level of resilience by improving any indicator.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

et al. 2018

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“…Morel, Amalberti and Chauvin [45,46] do exactly the same in their two studies of fishing operations. Similarly Shirali et al [47] states that "The increasing complexity in highly technological systems such as process industries is leading to potentially disastrous failure modes and new kind of safety issues." (p. 88) Furniss et al as well as Benn, Healey and Hollnagel locate the risk in the system environment, such as poor design, systems and processes [48] or as a "range of risks to safety posed by close proximity to potentially hazardous processes, medicines and equipment" [49] in a patient's journey through the healthcare system.…”

Section: Riskmentioning

confidence: 99%

On the rationale of resilience in the domain of safety: A literature review

Bergström

Winsen

Henriqson

2015

Reliability Engineering & System Safety

216

124

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Resilience is becoming a prevalent agenda in safety research and organisational practice. In this study we examine how the peer-reviewed safety science literature (a) formulates the rationale behind the study of resilience; (b) constructs resilience as a scientific object; and (c) constructs and locates the resilient subject. The results suggest that resilience engineering scholars typically motivate the need for their studies by referring to the inherent complexities of modern sociotechnical systems; complexities that make these systems inherently risky. The object of resilience then becomes the capacity to adapt to such emerging risks in order to guarantee the success of the inherently risky system. In the material reviewed, the subject of resilience is typically the individual, either at the sharp end or at higher managerial levels. The individual is called-upon to adapt in the face of risk to secure the continuous performance of the system. Based on the results from how resilience has been introduced in safety sciences we raise three ethical questions for the field to address: (1) should resilience be seen as people thriving despite of, or because of, risk?; (2) should resilience theory form a basis for moral judgement?; and finally (3) how much should resilience be approached as a trait of the individual?

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“…It has been shown that the SVD gives an optimal approximation of a matrix (F) by another matrix (F ) of smaller rank in a least square sense, so that SVD is equivalent to principal component analysis (PCA) [41].…”

Section: Information Exergy Index Combining Svd and Information Exergymentioning

confidence: 99%

Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy

Zhang

et al. 2014

Entropy

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Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor errors must be taken into account. This paper presents an information exergy index for bearing performance degradation assessment that combines singular value decomposition (SVD) and the information exergy method. Information exergy integrates condition monitoring information of multiple instants and multiple sensors, and thus performance degradation assessment uncertainties are reduced and robust degradation assessment results can be obtained using the proposed index. The effectiveness and robustness of the proposed information exergy index are validated through experimental case studies.

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A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry

Cited by 117 publications

References 18 publications

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

On the rationale of resilience in the domain of safety: A literature review

Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy

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