Extreme Risk Assessment Methodology (Eram) in Aviation Systems

Cioacă, Cătălin; CONSTANTINESCU, Cristian-George; Boșcoianu, Mircea; Lile, Ramona

doi:10.30638/eemj.2015.152

Cited by 10 publications

(9 citation statements)

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“…Gaining clarity is essential for breaking down complexity and bring responsiveness, flexibility and creativity into the system. Last, but not least, the mainstream concept of agility is a real solution for managing projects and taking decisions within a rapid changing world, fostering innovation and a sense of confidence in abilities both at individual and organizational level (Stanford & Homan, 1999;Shyur, 2008;Hadjimichael, 2009;Ning et al, 2012;Suhir, 2014;Cioaca et al, 2015;Tulechki, 2015;Yousefi, 2022).…”

Section: Methodsmentioning

confidence: 99%

Civil Aviation Approach to Safety Risk Management: A New Perspective on a Mature Process

Basimakopoulou

Theologou

Tzavaras

2023

Int. J. Appl. Res. Manag. Econ.

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This literature review aims at reflecting on current issues about how Civil Aviation Industry manages the notion of Risk. In face of recent indisputable challenges, such as COVID-19 Pandemic, geopolitical and energy crisis as well as unpredictable markets, but also chronically experienced volatility, uncertainty, complexity and ambiguity, as the main characteristics of the aviation operational environment (VUCA World), Aviation industry has to accept that this is the norm and consequently, do more. We suggest the adoption of the Sustainability-Ethics-Resilience, SER, aviation specific, overarching approach for managing Safety Risk, as an evolution of the generalized business model of ESG, and we provide reasons and solutions for that, based on evidence from the academic and the operational world. A systematic, five-step research method process for literature review has been used. We have taken into consideration article publication year 2017 onwards, and some classical ones from earlier on, using credible academic databases, complemented by statistical data, data on contemporary approach to safety risk management, as well as other aviation related data from aviation dedicated sites and official websites of multiple aviation key stakeholders.

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Section: Methodsmentioning

confidence: 99%

Civil Aviation Approach to Safety Risk Management: A New Perspective on a Mature Process

Basimakopoulou

Theologou

Tzavaras

2023

Int. J. Appl. Res. Manag. Econ.

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“…A common but highly variable approach is to extend the risk metric to encompass a third or more factors. The most common ones were vulnerability [23][24][25][26], detectability [27][28][29][30], manageability [29,[31][32][33][34][35], and time [29,[36][37][38][39]. Other more application-specific factors that have been added to the risk equations include preventability [35], layers of protection [40], resilience [41], volatility [39], experience [42], knowledge [43][44][45], social impact [46] and coping capacity [47,48], performance-shaping factors [49], and human factors [50].…”

Section: Extended Risk Constructs Using N-tuplesmentioning

confidence: 99%

Methodology for Evaluating Risk of Visual Inspection Tasks of Aircraft Engine Blades

Aust

Pons

2021

Aerospace

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Risk assessment methods are widely used in aviation, but have not been demonstrated for visual inspection of aircraft engine components. The complexity in this field arises from the variety of defect types and the different manifestation thereof with each level of disassembly. A new risk framework was designed to include contextual factors. Those factors were identified using Bowtie analysis to be criticality, severity, and detectability. This framework yields a risk metric that describes the extent to which a defect might stay undetected during the inspection task, and result in adverse safety outcomes. A simplification of the framework provides a method for go/no-go decision-making. The results of the study reveal that the defect detectability is highly dependent on specific views of the blade, and the risk can be quantified. Defects that involve material separation or removal such as scratches, tip rub, nicks, tears, cracks, and breaking, are best shown in airfoil views. Defects that involve material deformation and change of shape, such as tip curl, dents on the leading edges, bents, and battered blades, have lower risk if edge views can be provided. This research proposes that many risk assessments may be reduced to three factors: consequence, likelihood, and a cofactor. The latter represents the industrial context, and can comprise multiple sub-factors that are application-specific. A method has been devised, including appropriate scales, for the inclusion of these into the risk assessment.

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“…The sub-criteria of Threat are placed on the X axis while the possibility of vulnerability to attacks on the Y axis and impact analysis on the Z axis They are described in Table 9dan Figure 4. (Liua, et al, 2012); (Cioaca, et al, 2016)…”

Section: Score Column and Colour Levelmentioning

confidence: 99%

“…Risk Determination of the Islamic State (IS) Network Development. (Chien, et al, 2019); (Cioaca, et al, 2016)).…”

mentioning

confidence: 99%

Risk Analysis of Islamic State (IS) Network Development in Southeast Asia Based on 3D Matrix

Octavian¹,

Widjayanto²,

Putra³

et al. 2021

ijoqm

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The threat of terror in Southeast Asia has been currently divided into three generations of terror: Al-Qaeda terror network, ISIS terror network and IS terror network.This study aims at providing a risk analysis on the development of the Islamic State network in Southeast Asia. This study employed Analytical Hierarchy Process (AHP) approach, TOPSIS. The AHP method is used to give weight to risk identification criteria. The TOPSIS method is used to provide the value analysis of threats, vulnerability, and impact in order to determine the threat-based risk level assessment, vulnerability, and the impact of the TOPSIS calculation results. The risk analysis of the development of Islamic State in Southeast Asia resulted three countries were categorized in the category of Low: Indonesia, Malaysia and Thailand. Indonesia has the value of risk factor of 0.170; Malaysia has the value of risk factor of 0.088 and Thailand has the value of risk factor of 0.176. On the other hand, the Philippines has the value of risk factor of 0.351 in the category of Guarded.

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Extreme Risk Assessment Methodology (Eram) in Aviation Systems

Cited by 10 publications

References 0 publications

Civil Aviation Approach to Safety Risk Management: A New Perspective on a Mature Process

Civil Aviation Approach to Safety Risk Management: A New Perspective on a Mature Process

Methodology for Evaluating Risk of Visual Inspection Tasks of Aircraft Engine Blades

Risk Analysis of Islamic State (IS) Network Development in Southeast Asia Based on 3D Matrix

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