Multi-criteria risk assessment approach for components risk ranking – The case study of an offshore wave energy converter

Okoro, Uzoma; Kolios, Athanasios; Chen, Lin

doi:10.1016/j.ijome.2016.12.001

Cited by 28 publications

(31 citation statements)

References 25 publications

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“…Figure illustrates the plot of RPN against frequency of a random combination of O, S, and D. Holes are shown as portions of discontinuities between successive RPNs in multiplicative scales. The direct consequence of “sensitivity to small changes” is that errors due to uncertainties associated with the judgment of O, S, and D become exaggerated …”

Section: Introductionmentioning

confidence: 99%

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar

Yazdi

Adesina³

2020

Quality & Reliability Eng

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Failure modes and effects analysis (FMEA) is a safety and reliability technique that is widely used to evaluate, design, and process a system against diverse possible ways through which the potential failure has a tendency to occur. In conventional FMEA, the risk evaluation is determined by risk priority number (RPN) obtained by multiplying of three risk factors—severity, occurrence, and detection. However, because of many shortages in conventional FMEA, the RPN scores have been widely criticized along issues bothering on ambiguity and vagueness, scoring, appraising, evaluating, and selecting corrective actions. In this paper, we propose a new integrated fuzzy smart FMEA framework where the combination of fuzzy set theory, analytical hierarchy process (AHP), and data envelopment analysis (DEA) is used, respectively, to handle uncertainty and to increase the reliability of the risk assessment. These are achieved by employing a heterogeneous group of experts and determining the efficiency of FMEA mode with adequate priority and corrective actions using RPN, time, and cost as indicators. A numerical example (aircraft landing system) is provided to exemplify the feasibility and effectiveness of the proposed model. The outputs of the proposed model compared with the conventional risk assessment technique results show its effectiveness, reliability, and propensity for real applications.

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Section: Introductionmentioning

confidence: 99%

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar

Yazdi

Adesina³

2020

Quality & Reliability Eng

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“…Outcome of this process reached consensus from all four experts about the accuracy of ranking (local and global aggregation) denoting that the framework derived realistic conclusions. Further, validation of the framework on a real case study can be found in Kolios, Umofia, and Shafiee (2017) and Okoro et al (2016).…”

Section: Resultsmentioning

confidence: 99%

“…Okoro, Kolios, and Cui () proposed and implemented an enhanced, condition‐based multicriteria risk assessment framework that (a) identifies variations in the conditions and environment of the components of an offshore structure or system, (b) identifies failure modes and mechanisms to which the components can be exposed as a result of these variations, (c) analyses the implicit relationship/interaction between these variations and the O, S, and D of the failure modes/mechanisms, and (d) takes a guided decision on prioritization. In so doing, the framework identifies unforeseen failure and integrity challenges that site personnel may not have previously encountered and that, in many cases, can cause unexpected obstruction to the flow of production, resulting in costly emergency repairs to get the asset back on line.…”

Section: Introductionmentioning

confidence: 99%

“…They (a) lack a systematic way of considering large volumes of data at various levels of details and (b) lack a way to consider interrelationships between the various failure modes and the system variables. Okoro, Kolios, and Cui (2016) proposed and implemented an enhanced, condition-based multicriteria risk assessment framework that (a) identifies variations in the conditions and environment of the components of an offshore structure or system, (b) identifies failure modes and mechanisms to which the components can be exposed as a result of these variations, (c) analyses the implicit relationship/interaction between these variations and the O, S, and D of the failure modes/mechanisms, and (d) takes a guided decision on prioritization.…”

Section: Introductionmentioning

confidence: 99%

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Multicriteria risk assessment framework for components' risk ranking: Case study of a complex oil and gas support structure

Okoro

Kolios

2018

Multi Criteria Decision Anal

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This paper develops and applies a methodology for multicriteria risk assessment aiming to overcome the limitations of the conventional failure mode and effect analysis where risk evaluation is performed at the higher level consideration of occurrence, severity, and detection. Breaking down these higher level criteria into a set of parameters and variables makes it possible to analyse in greater detail the physical, environmental, and process conditions of the components in response to the activities of factors of biological, chemical, and mechanical stresses. By adopting a framework comprising multicriteria decision analysis, Delphi method, nominal group technique, and technique for order of preference by similarity to ideal solution, the fidelity, transparency, and repeatability of the assessment are ensured. The highlight of the paper is the demonstration of the capability of the model for time dependent assessment, which allows the comparison between different states of the asset's conditions through alteration in the risk profiles. The analysis conducted shows the efficient applicability of the method for the reference case study of an offshore oil and gas support structure, proving its relevance for systems of similar class.

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“…For this novel WEC, which underwent design updates after deployment, numerous failure modes, often linked to human factors, not originally identified in the FEMEA occurred. Okoro et al [27] created a system for ranking (giving relative priority to) failure modes of a WEC, which may provide some further insight into prioritizing maintenance and inspections.…”

Section: Failure Modes Analysismentioning

confidence: 99%

A Survey of WEC Reliability, Survival and Design Practices

Coe

Rij

2017

Energies

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A wave energy converter must be designed to survive and function efficiently, often in highly energetic ocean environments. This represents a challenging engineering problem, comprising systematic failure mode analysis, environmental characterization, modeling, experimental testing, fatigue and extreme response analysis. While, when compared with other ocean systems such as ships and offshore platforms, there is relatively little experience in wave energy converter design, a great deal of recent work has been done within these various areas. This paper summarizes the general stages and workflow for wave energy converter design, relying on supporting articles to provide insight. By surveying published work on wave energy converter survival and design response analyses, this paper seeks to provide the reader with an understanding of the different components of this process and the range of methodologies that can be brought to bear. In this way, the reader is provided with a large set of tools to perform design response analyses on wave energy converters.

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Multi-criteria risk assessment approach for components risk ranking – The case study of an offshore wave energy converter

Cited by 28 publications

References 25 publications

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Multicriteria risk assessment framework for components' risk ranking: Case study of a complex oil and gas support structure

A Survey of WEC Reliability, Survival and Design Practices

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