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Integrating TOPSIS and DEMATEL Methods to Rank the Risk of Failure of FMEA

Author

Listed:
  • Kuei-Hu Chang

    (Department of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, Taiwan)

  • Yung-Chia Chang

    (Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 300, Taiwan)

  • Yu-Tsai Lee

    (Graduate School of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 300, Taiwan)

Abstract

Failure mode and effect analysis (FMEA) is one of the risk analysis techniques recommended by international quality certification systems, such as ISO 9000, ISO/TS 16949, CE, and QS9000. Most current FMEA methods use the risk priority number (RPN) value to evaluate the risk of failure. The RPN value is the mathematical product of the three parameters of a failure mode that is rated between 1 and 10 in terms of its severity (S), occurrence (O), and detection (D), respectively. However, the RPN method has been found with three main drawbacks: (1) high duplicate RPN values, (2) failure to consider the ordered weights ofS,O, andD, and (3) failure to consider the direct and indirect relationships between the failure modes and causes of failure. Therefore, this paper integrates the technique for order preference by similarity to ideal solution (TOPSIS) and the decision-making trial and evaluation laboratory (DEMATEL) approach to rank the risk of failure. A case of an inlet plate ring that has been drawn from a professional mechanical factory is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with the conventional RPN and DEMATEL methods, it was found that the proposed method can resolve the abovementioned RPN ranking issues and give a more appropriate risk assessment than other listed approaches to provide valuable information for the decision makers.

Suggested Citation

  • Kuei-Hu Chang & Yung-Chia Chang & Yu-Tsai Lee, 2014. "Integrating TOPSIS and DEMATEL Methods to Rank the Risk of Failure of FMEA," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1229-1257.
    • Handle: RePEc:wsi:ijitdm:v:13:y:2014:i:06:n:s0219622014500758
    DOI: 10.1142/S0219622014500758
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    Cited by:

    1. Farzad Sharifi & Mohammad Ali Vahdatzad & Behrad Barghi & Nasibeh Azadeh-Fard, 2022. "Identifying and ranking risks using combined FMEA-TOPSIS method for new product development in the dairy industry and offering mitigation strategies: case study of Ramak Company," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2790-2807, October.
    2. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    3. Shouzhen Zeng & Jianping Chen & Xingsen Li, 2016. "A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 403-422, March.

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