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Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

Author

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  • M. Ilangkumaran

    (National Institute of Technology, India)

  • S. Kumanan

    (National Institute of Technology, India)

Abstract

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

Suggested Citation

  • M. Ilangkumaran & S. Kumanan, 2012. "Application of Hybrid VIKOR Model in Selection of Maintenance Strategy," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 5(2), pages 59-81, April.
    • Handle: RePEc:igg:jisscm:v:5:y:2012:i:2:p:59-81
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    Cited by:

    1. Swati Goyal & Shivi Agarwal & Narinderjit Singh Sawaran Singh & Trilok Mathur & Nirbhay Mathur, 2022. "Analysis of Hybrid MCDM Methods for the Performance Assessment and Ranking Public Transport Sector: A Case Study," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    2. 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.
    3. B. Kirubakaran & M. Ilangkumaran, 2016. "Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS," Annals of Operations Research, Springer, vol. 245(1), pages 285-313, October.
    4. Juhyun Lee & Byunghoon Kim & Suneung Ahn, 2019. "Maintenance Optimization for Repairable Deteriorating Systems under Imperfect Preventive Maintenance," Mathematics, MDPI, vol. 7(8), pages 1-17, August.
    5. Carpitella, Silvia & Mzougui, Ilyas & Benítez, Julio & Carpitella, Fortunato & Certa, Antonella & Izquierdo, Joaquín & La Cascia, Marco, 2021. "A risk evaluation framework for the best maintenance strategy: The case of a marine salt manufacture firm," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Sivaraja, C.M. & Sakthivel, G., 2017. "Compression ignition engine performance modelling using hybrid MCDM techniques for the selection of optimum fish oil biodiesel blend at different injection timings," Energy, Elsevier, vol. 139(C), pages 118-141.

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