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A structured approach for synchronising the applications of failure mode and effects analysis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Failure Mode and Effects Analysis (FMEA) is a systematic approach for evaluating the potential failure modes in a system, and is mainly employed in three distinct tasks labelled: (1) Functional FMEA – evaluating those failures associated with product functional definition, (2) Design FMEA – analysing those failures associated with design definition and (3) Process FMEA – assessing potential failures in manufacturing and assembly processes. The literature review has shown limited works on the field of synchronising these different tasks into a working model. To address this gap, this research developed a framework for integrating these tasks of FMEAs, and then qualitatively validating the proposed framework. This research adopted a semi-structured questionnaire to collect experts’ feedback and validate the proposed framework. The t-test was then employed to evaluate the collected feedback. The findings highlight that the proposed framework is applicable and could facilitate the synchronisation of the different tasks of FMEA. This research presents a methodological approach for executing and synchronising FMEAs. Therefore, the proposed framework is practically relevant as an aid for the practitioners in catching the cascading failures and reducing the relevant impact.
Wydawca
Rocznik
Tom
Strony
165--177
Opis fizyczny
Bibliogr. 36 poz., rys., tab.
Twórcy
  • University of Nottingham Faculty of Engineering Advanced Manufacturing Building, Jubilee Campus NG8 1BB, Nottingham, United Kingdom
  • Shaqra University, Faculty of Engineering, Saudi Arabia
  • University of Nottingham Faculty of Engineering Advanced Manufacturing Building, Jubilee Campus NG8 1BB, Nottingham, United Kingdom
  • University of Nottingham Faculty of Engineering Advanced Manufacturing Building, Jubilee Campus NG8 1BB, Nottingham, United Kingdom
  • Rolls-Royce plc
Bibliografia
  • [1] E. Henshall, I. Campean and B. Rutter. “A System Approach to the Development and Use of FMEA in Complex Automotive Applications”. SAE International Journal of Materials and Manufacturing, vol. 7(2), pp. 280-290, 2014.
  • [2] C. Carlson. Effective FMEAs: Achieving safe, reliable, and economical products and processes using failure mode and effects analysis. John Wiley & Sons, 2012.
  • [3] S.G. Teng, S.M. Ho, D. Shumar and P.C. Liu. “Implementing FMEA in a collaborative supply chain environment”. International Journal of Quality & Reliability Management, vol. 23(2), pp. 179-196, 2006.
  • [4] S. Kmenta and S. Ishii. “Scenario-based failure modes and effects analysis using expected cost”. Journal of Mechanical Design, vol. 26(6), pp. 1027-1035, 2004.
  • [5] A. Soufhwee, A. Hambali, M. Rahman and H. Hanizam. “Development of an Integrated FMEA (i-FMEA) Using DAIREC Methodology for Automotive Manufacturing Company”. Applied Mechanics and Materials, vol. 315(1), pp. 176-180, 2013.
  • [6] L.S. Lipol and J. Haq. “Risk analysis method: FMEA/FMECA in the organisations”. International Journal of Basic & Applied Sciences, vol. 11(5), pp. 74-82, 2011.
  • [7] A. Segismundo and P.A.C. Miguel. “Failure mode and effects analysis (FMEA) in the context of risk management in new product development”. International Journal of Quality & Reliability Management, vol. 25(9), pp. 899-912, 2008.
  • [8] K.S. Chin, A. Chan and J.B. Yang. “Development of a fuzzy FMEA based product design system”. The International Journal of Advanced Manufacturing Technology, vol. 36(1), pp. 633-649, 2008.
  • [9] D.H. Stamatis. Failure mode and effect analysis: FMEA from theory to execution. Quality Press, 2003.
  • [10] N. Xiao, H.Z. Huang, Y. Li, L. He and T. Jin. “Multiple failure modes analysis and weighted risk priority number evaluation in FMEA”. Engineering Failure Analysis, vol. 18(4), pp. 1162-1170, 2011.
  • [11] J. Peeters, R. Basten and T. Tinga. “Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner”. Reliability Engineering & System Safety, vol. 172(1), pp. 36-44, 2018.
  • [12] C. Estorilio and R.K. Posso. “The reduction of irregularities in the use of process FMEA”. International Journal of Quality & Reliability Management, vol. 27 (6), pp. 721-733, 2010.
  • [13] C. Yang, Y. Zou, P. Lai and N. Jiang. “Data mining-based methods for fault isolation with validated FMEA model ranking”. Applied Intelligence, vol. 43(4), pp. 913-923, 2015.
  • [14] D.M. Ginn, D.V. Jones, H. Rahnejat and M. Zairi. “The qfd/fmea interface”. European Journal of Innovation Management, vol. 1(1), pp. 7-20, 1998.
  • [15] Y.K. Gu, Z.X. Cheng and G.Q. Qiu. “An improved FMEA analysis method based on QFD and TOPSIS theory”. International Journal on Interactive Design and Manufacturing, vol. 13(2), pp. 617-626, 2019.
  • [16] F. Shaker, A. Shahin and S. Jahanyan. “Developing a twophase QFD for improving FMEA: an integrative approach”. International Journal of Quality & Reliability Management, vol. 36(8), pp. 1454-1474, 2019.
  • [17] A. Hassan, A. Siadat, J.Y. Dantan and P. Martin. “Conceptual process planning – an improvement approach using QFD, FMEA and ABC methods”. Robotics and Computer-Integrated Manufacturing, vol. 26(4), pp. 392-401, 2010.
  • [18] H.C. Cooper. “Capture all critical failure modes into FMEA in half the time with a simple decomposition table (Actual case study savings= $4,206,000)”. In 2015 Annual Reliability And Maintainability Symposium (RAMS). 26-29 January, 2015, Palm Harbor, FL, USA, pp. 1-6. ISBN: 978-1-4799- 6703-2.
  • [19] H. Mohsen and E. Cekecek. “Thoughts on the use of axiomatic designs within the product development process”. The First International Conference on Axiomatic Design. 21-23 June, 2000, Cambridge, MA, USA, pp. 188-195.
  • [20] N. P. Suh. Axiomatic Design: Advances and Applications. Oxford University Press, 2001.
  • [21] F. Engelhardt. “Improving systems by combining axiomatic design, quality control tools and designed experiments”. Research in Engineering Design, vol. 12(4), pp. 204-219, 2000.
  • [22] D. Frey, J. Palladino, J. Sullivan and M. Atherton. “Part count and design of robust systems”. Systems Engineering, vol. 10(3), pp. 203-221, 2007.
  • [23] G. Arcidiacono and G. Campatelli. “Reliability improvement of a diesel engine using the FMETA approach”. Quality and Reliability Engineering International, vol. 20(2), pp. 143-154, 2004.
  • [24] B. Goo, J. Lee, S. Seo, D. Chang and H. Chung. “Design of reliability critical system using axiomatic design with FMECA”. International Journal of Naval Architecture and Ocean Engineering, vol. 11(1), pp. 11-21, 2019.
  • [25] J. Shao, F. Lu, C. Zeng, and M. Xu. “Research progress analysis of reliability design method based on axiomatic design theory”. Procedia CIRP, vol. 53, pp. 107-112, 2016.
  • [26] T.G. Jefferson, S. Ratchev and R. Crossley. “Axiomatic design of a reconfigurable assembly system for primary wing structures”. SAE International Journal of Aerospace, vol. 7(2), pp. 229-240, 2014.
  • [27] M.D. Guenov and S.G. Barker. “Application of axiomatic design and design structure matrix to the decomposition of engineering systems”. Systems Engineering, vol. 8(1), pp. 29-40, 2005.
  • [28] P. Kumar and P. Tandon. “A paradigm for customer-driven product design approach using extended axiomatic design”. Journal of Intelligent Manufacturing, vol. 30(2), pp. 589-603, 2019.
  • [29] S.D. Eppinger and T.R. Browning. Design structure matrix methods and applications. MIT press, 2012.
  • [30] D. Tang, G. Zhang and S. Dai. “Design as integration of axiomatic design and design structure matrix”. Robotics and Computer-Integrated Manufacturing, vol. 25(3), pp. 610- 619, 2009.
  • [31] C. Pepe, D. Whitney, E. Henriques, R. Farndon and M. Moss. “Development of a framework for improving engineering processes”. Proceedings of the 18th International Conference on Engineering Design (ICED 11) and Impacting Society Through Engineering Design. 15-19 August, 2011, Copenhagen, Denmark, vol. 1, pp. 417-428.
  • [32] A.M. Almutairi, K. Salonitis and A. Al-Ashaab. “A framework for implementing lean principles in the supply chain management at health-care organizations”. International Journal of Lean Six Sigma, vol. 11(3), pp. 463-492, 2019.
  • [33] A.N. Haq and V. Boddu. “Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach”. Journal of Intelligent Manufacturing, vol. 28(1), pp. 1-12, 2014.
  • [34] S. Beecham, T. Hall, C. Britton, M. Cottee and A. Rainer. “Using an expert panel to validate a requirements process improvement model”. Journal of Systems and Software, vol. 76(3), pp. 251-275, 2005.
  • [35] S. Vinodh and S.K. Chintha. “Leanness assessment using multi-grade fuzzy approach”. International Journal of Production Research, vol. 49(2), pp. 431-445, 2011.
  • [36] R. Ferdous, F. Khan, B. Veitch and P.R. Amyotte. “Methodology for computer aided fuzzy fault tree analysis”. Process Safety and Environmental Protection. vol. 87(4), pp. 217- 226, 2009.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-504773dc-b574-4b0f-8f93-961e4b2935ec
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