Failure mode and effects analysis using a group-based evidential reasoning approach

Chin, Kwai‐Sang; Wang, Ying‐Ming; Poon, Gary Ka Kwai; Yang, Jian‐Bo

doi:10.1016/j.cor.2008.05.002

Cited by 272 publications

(168 citation statements)

References 36 publications

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“…2) Same magnitude of RPNs can be obtained from different combinations of occurrence (O), severity (S) and detection (D), in which their hidden risk implications may be totally different (Chin et al, 2008;Wang et al, 2009); 3) Sensitivity to small changes means that a small change in one factor has a much larger effect when the other factors are larger compared with when they are small (e.g., RPN on 9×9×3 = 243 and on 9×9×4 = 324; RPN in 3×4×3 = 36 and on 3×4×4 = 48); 4) Inadequate scaling of the ratios on occurrence table is not proportional or linear; 5) Other important factors are ignored, such as economic aspects (von Ahsen, 2008;Chin et al, 2009); 6) Risk evaluation using RPN cannot always be assessed by detection (D) (Segismundo and Miguel, 2008); and 7) No exact rule is given to determine the probability of occurrence (O) and detection (D) (Segismundo and Miguel, 2008).…”

Section: Discussionmentioning

confidence: 99%

Development of a Failure Mode and Effects Analysis Based Risk Assessment Tool for Information Security

Lai¹,

Chin²

2014

Industrial Engineering and Management Systems

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Risk management is recognized as a significant element in Information Security Management while the failure mode and effects analysis (FMEA) is widely used in risk analysis in manufacturing industry. This paper aims to present the development work of the Information Security FMEA Circle (InfoSec FMEA Circle) which is used to support the risk management framework by modifying traditional FMEA methodologies. In order to demonstrate the "appropriateness" of the InfoSec FMEA Circle for the purposes of assessing information security, a case study at Hong Kong Science and Technology Parks Corporation (HKSTP) is employed. The "InfoSec FMEA Circle" is found to be an effective risk assessment methodology that has a significant contribution to providing a stepwise risk management implementation model for information security management.

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Section: Discussionmentioning

confidence: 99%

Development of a Failure Mode and Effects Analysis Based Risk Assessment Tool for Information Security

Lai¹,

Chin²

2014

Industrial Engineering and Management Systems

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“…However, there are 3 main elements in this analysis to define the priorities of the risks and failures. Those are defined as follows: Occurrence, Severity and Detection [14,15,17,19,20]. Among these elements, occurrence indicates the existence probability, defect frequency, (gradation system from 1 to 10 is used); severity or weight indicates the seriousness (effect) of the failuredefect, (gradation system from 1 to 10 is used), detectability means the level of difficulty in detecting the failure (gradation system of from 1 to 10 is used).…”

Section: Failure Mode Effect Analysis (Fmea) and Pareto Analysismentioning

confidence: 99%

Description of failures and risks that are emerged from landslide measurement activities in infrastructure deformations

Can

Erbıyık

2017

Teh. vjesn.

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Original scientific paper The occurrence of frequency of landslides that are considered parts of natural hazards continues to increase and their negative consequences affect human life, environment and urban infrastructures. In consideration of landslides that have remarkable destructive effects among the natural hazards, the importance of the engineering measurements and calculations in the geodetic network that is constructed in the landslide area plays an important role. A lot of factors affect the accuracy of the engineering measurements and calculations. Failure Mode Effect Analysis (FMEA) and Pareto Analysis methods are the effective tools in revealing these factors and alleviating their risks by taking relevant precautions. It may be possible to alleviate the risks to a minimum in the engineering measurements and calculations relevant to landslide parameters by these methods.We have attempted to alleviate failures and to take relevant precautions with FMEA and Pareto Analyses for the failures resulted in engineering measurements. Keywords: FMEA analysis; infrastructure deformations; geodetic and topographic measurements; landslide monitoring; Pareto analysis Opis promašaja i rizika nastalih zbog aktivnosti mjerenja odrona zemlje u deformacijama infrastruktureIzvorni znanstveni članak Učestalost pojave odrona zemlje koji se smatraju prirodnim opasnostima i dalje se povećava i njihove negativne posljedice utječu na ljudski život, okoliš i gradsku infrastrukturu. S obzirom na odrone zemlje koji među prirodnim nesrećama završavaju značajnim destruktivnim posljedicama, važnost tehničkih mjerenja i izračuna u geodetskoj mreži koja se izrađuje u područjima s odronima od velikog je značaja. Među velikim brojem čimbenika koji djeluju na točnost tehničkih mjerenja i proračuna, metode Failure Mode Effect Analize (FMEA) i Pareto Analize su učinkoviti alati u otkrivanju tih čimbenika i ublažavanju njihovih rizika poduzimanjem odgovarajućih mjera predostrožnosti. Tim je metodama moguće gotovo potpuno smanjiti rizike u tehničkim mjerenjima i proračunima relevantnim za parametre odrona. Pokušali smo ublažiti propuste nastale tehničkim mjerenjima i poduzeti odgovarajuće mjere predostrožnosti primjenom FMEA i Pareto analize.

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“…Both tools are long established. FMEA was formally introduced at Grumman Aircraft Corporation in the 1950s, and FTA in the 1960s-and both have been employed in a number of different areas, including the aerospace, nuclear power, and automotive industries (Sharma et al 2005Chin et al 2008Chin et al , 2009Hauptmanns (2004Hauptmanns ( , 2011Guimaraes et al 2011). Fault trees are graphical representations of logical combinations of failures, and show the relationship between a failure or fault and the events that cause them.…”

Section: System Risk and Reliability Assessment Methodsmentioning

confidence: 99%

Qualitative and quantitative approaches to analyse reliability of a mechatronic system: a case

Sharma

2015

J Ind Eng Int

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The main research intent of this paper is to introduce the use of fault tree analysis (FTA) and failure mode and effects analysis (FMEA) in conjunction to analyse the risk and reliability of a complex mechatronic system in both qualitative and quantitative manner. The major focus is on handling imprecise and vague information with the help of fuzzy synthesis of information. A complex mechatronic system, i.e. modular automated production system (MAPS), composed of mechanical, electronic, and embedded software subsystems is considered to study the reliability aspects using hybrid FTA. From the results, it is found that the proposed approach models both subjective issues such as human errors along with hardware failures. The in-depth analysis and prioritizing of failure modes using a risk ranking approach based on fuzzy inference system and grey relation approach not only integrate expert judgment, experience, and expertise in more flexible and realistic manner, but also address the limitations associated with traditional procedure of FMEA.

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Failure mode and effects analysis using a group-based evidential reasoning approach

Cited by 272 publications

References 36 publications

Development of a Failure Mode and Effects Analysis Based Risk Assessment Tool for Information Security

Development of a Failure Mode and Effects Analysis Based Risk Assessment Tool for Information Security

Description of failures and risks that are emerged from landslide measurement activities in infrastructure deformations

Qualitative and quantitative approaches to analyse reliability of a mechatronic system: a case

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