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The industrial development and economic growth have provided a conducive environment for manufacturing process improvements. However, this progress also poses several challenges to remain competitive and improve efficiency and productivity. Failure mode and effect analysis is a systematic approach that is used extensively in the field of risk management to enhance quality and efficiency in different sectors including manufacturing and healthcare sectors. In this paper, novel approach to enhance the failure mode and effects analysis is proposed. The approach can address the inherent uncertainty involved in assigning numerical values to represent the severity, occurrence and detection of each failure. A case study from a small-scale factor was assessed to ensure the applicability and effectiveness of the proposed approach.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
259--265
Opis fizyczny
Bibliogr. 30 poz., fig., tab.
Twórcy
autor
- Department of Mechanical & Industrial Engineering, Applied Science Private University, Jordan
autor
- Department of Mechanical Engineering, Tafila Technical University, Jordan
autor
- Department of Mechanical & Industrial Engineering, Applied Science Private University, Jordan
autor
- Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B, 20-618 Lublin, Poland
autor
- Department of Mechanical Engineering, Tafila Technical University, Jordan
Bibliografia
- 1. Tooranloo H.S., Sadat Ayatollah A. A model for failure mode and effects analysis based on intuitionistic fuzzy approach. Appl Soft Comput 2016, 49: 238–247. https://doi.org/10.1016/j.asoc.2016.07.047.
- 2. Geum Y., Shin J., Park Y. FMEA-based portfolio approach to service productivity improvement. Serv Ind J 2011, 31: 1825–1847. https://doi.org/10.1080/02642069.2010.503876.
- 3. Cabanes B., Hubac S., Le Masson P., Weil B. Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry. Res Eng Des 2021, 32: 309–329. https://doi.org/10.1007/s00163-021-00360-1.
- 4. Teng S-H., Ho S-Y. Failure mode and effects analys is An integrated approach for product. Int J Qual Reliab Manag 1996, 13(5): 8–26. https://doi.org/10.1108/02656719610118151.
- 5. Stamatis D.H. Failure mode and effect analysis. Quality Press 2003, pp. 665.
- 6. Segismundo A., Miguel A.C.P. Failure mode and effects analysis (FMEA) in the context of risk management in new product development: A case study in an automotive company. Int J Qual Reliab Manag 2008, 25(9): 899–912. https://doi.org/10.1108/02656710810908061.
- 7. Ashley L., Armitage G., Neary M., Hollingsworth G. A practical guide to failure mode and effects analysis in health care: making the most of the team and its meetings. Jt Comm J Qual Patient Saf 2010, 36(8): 351–358. https://doi.org/10.1016/S1553-7250(10)36053-3.
- 8. El-Awady S.M.M. Overview of failure mode and effects analysis (FMEA): A patient safety tool. Glob J Qual Saf Healthc 2023, 6(1): 24–26. https://doi.org/10.36401/JQSH-23-X2.
- 9. Aldridge J.R., Taylor J., Dale B.G. The application of failure mode and effects analysis at an automotive components manufacturer. Int J Qual Reliab Manag 1991, 8(3). https://doi.org/10.1108/02656719110142780.
- 10. Johnson K.G., Khan M.K. A study into the use of the process failure mode and effects analysis (PFMEA) in the automotive industry in the UK. J Mater Process Technol 2003, 139(1-3): 348–356. https://doi.org/10.1016/S0924-0136(03)00542-9.
- 11. Gul M., Yucesan M., Celik E. A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis. Appl Soft Comput 2020, 96: 106689. https://doi.org/10.1016/j.asoc.2020.106689.
- 12. Dabous S.A., Ibrahim F., Feroz S., Alsyouf I. Integration of failure mode, effects, and criticality analysis with multi-criteria decision-making in engineering applications: Part I – Manufacturing industry. Eng Fail Anal 2021, 122: 105264. https://doi.org/10.1016/j.engfailanal.2021.105264.
- 13. Braaksma A.J.J., Klingenberg W., Veldman J. Failure mode and effect analysis in asset maintenance: a multiple case study in the process industry. Int J Prod Res 2013, 51(4): 1055–1071. https://doi.org/10.1080/00207543.2012.674648.
- 14. Filz M-A., Langner J.E.B., Herrmann C., Thiede S. Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning. Comput Ind 2021, 129: 103451. https://doi.org/10.1016/j.compind.2021.103451.
- 15. Paciarotti C., Mazzuto G., D’Ettorre D. A revised FMEA application to the quality control management. Int J Qual Reliab Manag 2014, 31(7): 788–810. https://doi.org/10.1108/IJQRM-02-2013-0028.
- 16. Bowles J. An assessment of RPN prioritization in a failure modes effects and criticality analysis. Journal of the IEST 2004, 47(1): 51–56. https://doi.org/10.17764/jiet.47.1.y576m26127157313.
- 17. Sankar N.R., Prabhu B.S. Modified approach for prioritization of failures in a system failure mode and effects analysis. Int J Qual Reliab Manag 2001, 18(3): 324–336. https://doi.org/10.1108/02656710110383737.
- 18. Franceschini F., Galetto M. A new approach for evaluation of risk priorities of failure modes in FMEA. Int J Prod Res 2001, 39(13): 2991–3002. https://doi.org/10.1080/00207540110056162.
- 19. Van Tilburg C.M., Leistikow I.P., Rademaker C.M.A., Bierings M.B., van Dijk A.T.H. Health care failure mode and effect analysis: a useful proactive risk analysis in a pediatric oncology ward. Qual Saf Health Care 2006, 15(1): 58–63. https://doi.org/10.1136/qshc.2005.014902.
- 20. Chang K-H., Wen T-C. A novel efficient approach for DFMEA combining 2-tuple and the OWA operator. Expert Syst Appl 2010, 37(3): 2362–2370. https://doi.org/10.1016/j.eswa.2009.07.026.
- 21. Geum Y., Cho Y., Park Y. A systematic approach for diagnosing service failure: Service-specific FMEA and grey relational analysis approach. Math Comput Model 2011, 54(11-12): 3126–3142. https://doi.org/10.1016/j.mcm.2011.07.042.
- 22. Fahmy R., Kona R., Dandu R., Xie W, Claycamp G., Hoag S.W. Quality by design I: application of failure mode effect analysis (FMEA) and PlackettBurman design of experiments in the identification of “main factors” in the formulation and process design space for roller-compacted ciprofloxacin hydrochloride immediate-release tablets. AAPS PharmSciTech 2012, 13: 1243–1254. https://doi.org/10.1208/s12249-012-9844-x.
- 23. Huang J., Li Z.S., Liu H-C. New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliab Eng Syst Saf 2017, 167: 302–309. https://doi.org/10.1016/j.ress.2017.06.014.
- 24. Liu H-C., You J-X., Duan C-Y. An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int J Prod Econ 2019, 207: 163–172. https://doi.org/10.1016/j.ijpe.2017.03.008.
- 25. Liu H-C., Chen X-Q., Duan C-Y., Wang Y-M. Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review. Comput Ind Eng 2019, 135: 881–897. https://doi.org/10.1016/j.cie.2019.06.055.
- 26. Huang J., You J-X., Liu H-C., Song M-S. Failure mode and effect analysis improvement: A systematic literature review and future research agenda. Reliab Eng Syst Saf 2020, 199: 106885. https://doi.org/10.1016/j.ress.2020.106885.
- 27. Sader S., Husti I., Daróczi M. Enhancing failure mode and effects analysis using auto machine learning: A case study of the agricultural machinery industry. Processes 2020, 8(2): 224. https://doi.org/10.3390/pr8020224.
- 28. Oyeka I.C.A., Ebuh G.U. Modified Wilcoxon signed-rank test. Open J Stat 2012, 2: 172–176. https://doi.org/10.4236/ojs.2012.22019.
- 29. Talib F., Rahman Z., Qureshi M.N. Pareto analysis of total quality management factors critical to success for service industries. International Journal of Quality Research 2010, 4(2): 155-168. https://ssrn.com/abstract=2725175.
- 30. Denning R. Applied R&M manual for defence systems. MoD, Abbey Wood 2012.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-569ec6eb-50f4-4104-b89e-ab87c7e71d13