IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v17y2016i1p104-126.html
   My bibliography  Save this article

Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

Author

Listed:
  • Agung Sutrisno
  • Hyuck Moo Kwon
  • Indra Gunawan
  • Steven Eldridge
  • Tzong Ru Lee

Abstract

Improving the method for selecting risk-based competing improvement strategies has equal importance with failure risk quantification in the FMEA methodology. Nevertheless, there are few studies which focus on this issue. Furthermore, the influence of factors relating to the business environment which may support or derail improvement efforts is not considered in previous studies. In order to address these limitations, a model is proposed in which the impact of environmental factors is considered by integrating SWOT analysis into the FMEA method in order to support the appraisal of competing risk-based improvement efforts. The impact of SWOT variables is deployed using a decision support model based upon the benefit, cost, opportunity, risk and organisational readiness index (BCOR2) approach in order for the FMEA team to select from competing corrective actions. A case example from industry is provided in which the proposed model is applied. This example illustrates that this new model contributes successfully to good practice by identifying the most appropriate corrective action option to take and improves upon the decisions provided by existing developments of the FMEA methodology.

Suggested Citation

  • Agung Sutrisno & Hyuck Moo Kwon & Indra Gunawan & Steven Eldridge & Tzong Ru Lee, 2016. "Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 104-126.
    • Handle: RePEc:ids:ijpqma:v:17:y:2016:i:1:p:104-126
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=73283
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    References listed on IDEAS

    as
    1. C. Jegadheesan & V.P. Arunachalam & S.R. Devadasan & P.S.S. Srinivasan, 2007. "Design and development of modified service failure mode and effects analysis model," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(1), pages 111-126.
    2. V. Mohan Sivakumar & S.R. Devadasan & R. Murugesh & R. Maharaja, 2008. "Design and development of knowledge managed total failure mode and effects analysis technique," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 3(4), pages 413-429.
    3. Peter Géczy & Noriaki Izumi & Kôiti Hasida, 2010. "Service Science, Quo Vadis?," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 1(1), pages 1-16, January.
    4. Ming-Chang Lee & To Chang, 2012. "Combination of theory of constraints, root cause analysis and Six Sigma for quality improvement framework," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 10(4), pages 447-463.
    5. Anish Sachdeva & Dinesh Kumar & Pradeep Kumar, 2008. "A methodology to determine maintenance criticality using AHP," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 3(4), pages 396-412.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohd Safian, Edie Ezwan & Nawawi, Abdul Hadi, 2011. "The Evolution of Analytical Hierarchy Process (AHP) as a Decision Making Tool in Property Sectors," MPRA Paper 39442, University Library of Munich, Germany.

    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:ids:ijpqma:v:17:y:2016:i:1:p:104-126. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.