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Maintenance decision-making for power generating unit in thermal power plant using combined fuzzy AHP-TOPSIS approach

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  • Dilbagh Panchal
  • Dinesh Kumar

Abstract

Selection of an optimal maintenance strategy is one of the biggest challenges maintenance managers face. This paper seeks to suggest an optimal maintenance strategy for power generating unit (PGU) of a coal fired thermal power plant by applying combined fuzzy AHP-fuzzy TOPSIS approach. Maintenance decision-making is a multi-criteria decision-making (MCDM) problem where qualitative information received from experts is converted into quantitative form. Triangular fuzzy numbers (TFNs) are used to account for the uncertainty/imprecision in human judgment. Weights related to criteria and sub criteria are computed using fuzzy analytical hierarchy process (AHP) approach while final selection of maintenance strategy is done by applying fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach. Sensitivity analysis is carried out to monitor robustness of maintenance strategy with change in sub-criteria weights. Results will be shared with the plant maintenance manager to implement the maintenance strategy determined in this paper for improving system availability and minimising operative cost.

Suggested Citation

  • Dilbagh Panchal & Dinesh Kumar, 2017. "Maintenance decision-making for power generating unit in thermal power plant using combined fuzzy AHP-TOPSIS approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 29(2), pages 248-272.
    • Handle: RePEc:ids:ijores:v:29:y:2017:i:2:p:248-272
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    Citations

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    Cited by:

    1. Dilbagh PANCHAL & Prasenjit CHATTERJEE & Rajendra Kumar SHUKLA & Tanupriya CHOUDHURY & Jolanta TAMOSAITIENE, 2017. "Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 179-196.
    2. Priyank Srivastava & Dinesh Khanduja & V. P. Agrawal, 2020. "Agile maintenance attribute coding and evaluation based decision making in sugar manufacturing plant," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 553-583, June.
    3. Muhammad Riaz & Shaista Tanveer & Dragan Pamucar & Dong-Sheng Qin, 2022. "Topological Data Analysis with Spherical Fuzzy Soft AHP-TOPSIS for Environmental Mitigation System," Mathematics, MDPI, vol. 10(11), pages 1-36, May.

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