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Failure mode and effect analysis using fuzzy analytic hierarchy process and GRA TOPSIS in manufacturing industry

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  • G. Sakthivel
  • Bernard W. Ikua

Abstract

In the manufacturing industry, system failures may cause to personnel and infrastructure damages to the organisation which leads to loss in production. FMEA is a widely used engineering technique to improve product quality, reliability and eliminate known and/or potential failures. The present study develops evaluation model based on FMEA and FAHP integrated with combination of TOPSIS and GRA to valuate greatest risk in the processes for production of automotive dust cap in manufacturing industry. FAHP is used to compute the weights whereas fuzzy TOPSIS is used to obtain the final ranking. Among the various failure, blanking of blank failure mode is ranked first in the priority order to make an attention followed by the drawing dimension failure > window cutting failure > final inspection of dimension failure > packing (short excess quantity) failure > hole size failure > packing (damage in pack) failure > dispatch failure > plating failure.

Suggested Citation

  • G. Sakthivel & Bernard W. Ikua, 2017. "Failure mode and effect analysis using fuzzy analytic hierarchy process and GRA TOPSIS in manufacturing industry," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 22(4), pages 466-484.
    • Handle: RePEc:ids:ijpqma:v:22:y:2017:i:4:p:466-484
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    Cited by:

    1. Mohamad Shahiir Saidin & Lai Soon Lee & Siti Mahani Marjugi & Muhammad Zaini Ahmad & Hsin-Vonn Seow, 2023. "Fuzzy Method Based on the Removal Effects of Criteria (MEREC) for Determining Objective Weights in Multi-Criteria Decision-Making Problems," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
    2. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    3. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).

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