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An integrated RFUCOM – RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry

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  • Dhalmahapatra, Krantiraditya
  • Garg, Ashish
  • Singh, Kritika
  • Xavier, Nirmal Francis
  • Maiti, J.

Abstract

Failure mode and effect analysis (FMEA), a reliability management and risk assessment tool, is predominantly used for failure modes identification and prioritization in industries. In traditional FMEA, RPN computation suffered several limitations such as weighting of the risk criteria, and prioritization of the failure modes (FMs). Moreover, uncertainty and impreciseness associated with experts’ opinions lead to an inaccurate prioritization of FMs. In this study, an integrated RFUCOM-RTOPSIS FMEA model, considering double upper approximated rough number (DUARN), full consistency method (FUCOM), and technique for order of preference by similarity to ideal solution (TOPSIS), is proposed. Here, DUARN helps to improve the utilization the risk assessment information by moving expert opinions towards their true perception and modeling the uncertainty of the human mind. A judicious integration of FUCOM with DUARN enables us to effectively calculate the relative importance of risk criteria. Further, integration of the TOPSIS with DUARN improves the risk prioritization results. The proposed model has been applied for safety improvement in a thin slab caster and rolling unit of an integrated steel plant. Comparative and sensitivity analysis has also been conducted to show the effectiveness and robustness, respectively, of the proposed model.

Suggested Citation

  • Dhalmahapatra, Krantiraditya & Garg, Ashish & Singh, Kritika & Xavier, Nirmal Francis & Maiti, J., 2022. "An integrated RFUCOM – RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:reensy:v:221:y:2022:i:c:s095183202200014x
    DOI: 10.1016/j.ress.2022.108333
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    References listed on IDEAS

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    1. Weiyi Ju & Jie Wu & Qingchun Kang & Juncheng Jiang & Zhixiang Xing, 2022. "Fire Risk Assessment of Subway Stations Based on Combination Weighting of Game Theory and TOPSIS Method," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    2. Zhang, Pei & Zhang, Zhen-Ji & Gong, Da-Qing, 2024. "An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Du, Yuxian & Lin, Xi & Pan, Ye & Chen, Zhaoxin & Xia, Huan & Luo, Qian, 2023. "Identifying influential airports in airline network based on failure risk factors with TOPSIS," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    4. Li, Yaxin & Ding, Yuxin & Guo, Yuliang & Cui, Haizhou & Gao, Haiyi & Zhou, Ziyu & (Aaron) Zhang, Nanbo & Zhu, Siyao & Chen, Faan, 2023. "An integrated decision model with reliability to support transport safety system analysis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).

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