Improving risk analysis capability of FMEA using evaluation based on distance from average solution (EDAS): a case study of turbocharger system

• Autorzy: Emovon I.

Identyfikatory

DOI

10.30464/jmee.2018.2.1.13

• Języki publikacji: EN

Abstrakty

EN

Failure Mode and Effect Analysis (FMEA) is a key risk management tool used in detecting and eradicating potential failure for the purpose of improving the reliability and safety of a system. However, the traditional FMEA in spite of its popularity has inadequacies that have hindered the effectiveness of the tool in analyzing risk of failure modes. Due to the shortcomings of the technique, different improved versions have been suggested in the literature in order for risk to be analysed more effectively but majority of these versions are computationally challenging. In this paper, a simple approach is in troduced for improving the risk analysis capability of the FMEA. The approach utilizes Evaluation based on Distance from Average Solution (EDAS) as an alternative to RPN of FMEA in analyzing risk of failure. A case study of the turbocharger system of a diesel engine is applied to demonstrate the usefulness of the method. The result obtained from the EDAS method were compared with approaches in the literature previously used to address risk analysis of a turbo charger. The result of the analysis indicated that the EDAS method is a feasible alternative technique for risk analysis.

Słowa kluczowe

EN

EDAS; decision criteria; Failure Mode and Effect Analysis; FMEA; turbocharger; risk analysis; optimum alternative

PL

EDAS; kryteria decyzyjne; FMEA; turbosprężarka; analiza ryzyka; alternatywa optymalna

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Journal of Mechanical and Energy Engineering
• Rocznik: 2018
• Tom: Vol. 2, No 1
• Strony: 13--16
• Opis fizyczny: Bibliogr. 14 poz., tab., wykr.

Twórcy

autor

Emovon I.

• College of Technology, Mechanical Engineering Department, Federal University of Petroleum Resources, Effurun, Nigeria

Bibliografia

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• 4. Emovon, I., Norman, R.A. and Murphy, A.J., (2016). Methodology of Using an Integrated Averaging Technique and MAUT Method for Failure Mode and Effects Analysis. Journal of Engineering and Technology (JET), Vol. 7, No. 1, pp. 140-155.
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• 12. Ayadi, D., Azzabi, L., Kobi, A., Bachar, K. & Robledo, C. (2013). A multicriteria failure mode and effects analysis approach for optimizing human safety. In: IEEE Reliability And Maintainability Symposium (RAMS), Orlando FL., USA, pp. 1-9.
• 13. Trinkūnienė, E., Podvezko, V., Zavadskas, E.K., Jokšienė, I., Vinogradova, I. and Trinkūnas, V., (2017). Evaluation of quality assurance in contractor contracts by multiattribute decision-making methods. Economic Research-Ekonomska Istraživanja, Vol. 30, No. 1, pp. 1152-1180.
• 14. Keshavarz Ghorabaee, M., Zavadskas, E.K., Olfat, L. and Turskis, Z., (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, Vol. 26, No. 3, pp. 435-451.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).