IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v71y2020i5p800-812.html
   My bibliography  Save this article

Enhanced FMEA: An integrative approach of fuzzy logic-based FMEA and collective process capability analysis

Author

Listed:
  • Arash Geramian
  • Arash Shahin
  • Behzad Minaei
  • Jiju Antony

Abstract

The aim of this study is to modify and enhance the quantitative/mathematical features of both computational and analytical aspects of the process failure modes and effects analysis (FMEA). For this purpose, a hybrid approach including the Fuzzy Logic-based FMEA (FFMEA) and collective process capability analysis (CPCA) has been developed in three phases. First, failure modes have been defined based on lack of quality in quality characteristics under investigation, and then, they have been prioritised using FFMEA. Second, the most critical failure has been selected for statistical analysis using CPCA, leading to the corrective actions in the third phase. The proposed approach was investigated in an electrical-equipment-manufacturing company. Findings indicated that the diameter deviation in Insulator A was the most critical failure effect caused by a rightward mean shift of 0.32 cm. In addition, Cpk has been improved from 0.41 to 1.12, and defective products have been reduced from 115,083.09 to 336.98 parts per million.

Suggested Citation

  • Arash Geramian & Arash Shahin & Behzad Minaei & Jiju Antony, 2020. "Enhanced FMEA: An integrative approach of fuzzy logic-based FMEA and collective process capability analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(5), pages 800-812, May.
    • Handle: RePEc:taf:tjorxx:v:71:y:2020:i:5:p:800-812
    DOI: 10.1080/01605682.2019.1606986
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2019.1606986
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2019.1606986?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kübra Yazıcı & Seda Hatice Gökler & Semra Boran, 2021. "An integrated SMED-fuzzy FMEA model for reducing setup time," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1547-1561, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjorxx:v:71:y:2020:i:5:p:800-812. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.