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A New Ranking Method For Fuzzy FMEA

  • Conference paper
Applications and Science in Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 24))

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Abstract

In this paper, we extend the method introduced by Bowles and Peláez (1995) for the risk ranking in Failure Mode and Effect Analysis (FMEA). This method called as multi-ranking method allows combination of both the quantitative method (numeric ranking and fuzzy number) and the qualitative method (linguistic ranking) to be employed in the ranking of risk. It employs two types of aggregation method namely an input ranking aggregation and an output ranking aggregation method. Experimental investigations were carried out in actual industrial environment on a paste printing process of printed circuit board at Motorola, Penang, Malaysia. Comparisons were made between traditional FMEA Risk Priority Number (RPN) risk ranking and the newly proposed method. The results show that the use of both the qaulitative and quantitave information in the risk ranking could provides almost similar outcomes with that of the Fuzzy FMEA.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University College of Science and Technology Malaysia, Mengabang Telipot, 21030, Kuala Ter-engganu, Malaysia

    Muhammad Suzuri Hitam & Suresh Gobee

  2. School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia

    Khairanum Subari

Authors
  1. Muhammad Suzuri Hitam
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  2. Suresh Gobee
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  3. Khairanum Subari
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Editor information

Editors and Affiliations

  1. School of Computing and Technology, Nottingham Trent University, Burton Street, NG1 4BU, Nottingham, UK

    Ahamad Lotfi

  2. Automated Scheduling, Optimisation and Planning Group, School of Computer Science and IT, Universtiy of Nottingham, Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham, UK

    Jonathan M. Garibaldi

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© 2004 Springer-Verlag Berlin Heidelberg

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Hitam, M.S., Gobee, S., Subari, K. (2004). A New Ranking Method For Fuzzy FMEA. In: Lotfi, A., Garibaldi, J.M. (eds) Applications and Science in Soft Computing. Advances in Soft Computing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45240-9_17

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  • DOI: https://doi.org/10.1007/978-3-540-45240-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40856-7

  • Online ISBN: 978-3-540-45240-9

  • eBook Packages: Springer Book Archive

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