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Comprehensive fuzzy FMEA model: a case study of ERP implementation risks

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  • Adil Baykasoğlu

    (Dokuz Eylül University)

  • İlker Gölcük

    (Dokuz Eylül University
    Dokuz Eylül University)

Abstract

Failure mode and effects analysis (FMEA) is a prominent engineering technique for eliminating the potential failures emerged from various systems such as products, processes, designs, or systems. In the traditional FMEA, for each risk factor, severity, occurrence, and detectability ratings are multiplied and risk ranking number (RPN) is calculated. However, traditional FMEA has been subject of severe criticism in the literature and significant efforts have been made to overcome the shortcomings of the RPN. The present paper aims to put a step forward to enhance fuzzy FMEA by proposing a hybrid multi-attribute decision making model by combining fuzzy preference programming, fuzzy cognitive maps, and fuzzy graph-theoretical matrix approach. Fuzzy preference programming method is used to derive ratings of risk factors from incomplete, imprecise, and reciprocal pairwise comparison judgments. The causal dependencies among failure modes are modelled via fuzzy cognitive maps in order to capture the long term influences. Finally, fuzzy graph-theoretical matrix approach is employed to calculate risk priority indices of failure modes by taking into account interactions among risk factors. Although the FMEA method has been implemented in variety of technical problems, its potential in analyzing complex information systems have not been fully explored. Therefore, the proposed model is implemented in evaluating enterprise resource planning implementation risks in a real life case study.

Suggested Citation

  • Adil Baykasoğlu & İlker Gölcük, 2020. "Comprehensive fuzzy FMEA model: a case study of ERP implementation risks," Operational Research, Springer, vol. 20(2), pages 795-826, June.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:2:d:10.1007_s12351-017-0338-1
    DOI: 10.1007/s12351-017-0338-1
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Seyed-Hosseini, S.M. & Safaei, N. & Asgharpour, M.J., 2006. "Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 872-881.
    3. Alexandros Nikas & Haris Doukas, 2016. "Developing Robust Climate Policies: A Fuzzy Cognitive Map Approach," International Series in Operations Research & Management Science, in: Michael Doumpos & Constantin Zopounidis & Evangelos Grigoroudis (ed.), Robustness Analysis in Decision Aiding, Optimization, and Analytics, chapter 0, pages 239-263, Springer.
    4. Yeh, Chung-Hsing & Xu, Yan, 2013. "Managing critical success strategies for an enterprise resource planning project," European Journal of Operational Research, Elsevier, vol. 230(3), pages 604-614.
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    Cited by:

    1. Kuei-Hu Chang & Yi-Jun Chen & Chung-Cheng Liao, 2024. "A novel improved FMEA method using data envelopment analysis method and 2-tuple fuzzy linguistic model," Annals of Operations Research, Springer, vol. 341(1), pages 485-507, October.

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