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Evaluation of Maintenance Strategies Using Pythagorean Fuzzy TOPSIS Method

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Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (INFUS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1197))

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Abstract

Maintenance strategy selection (MSS) is a key issue that is followed worldwide and contributes significantly to the performance and productivity of manufacturing companies. Proper maintenance planning increases the reliability, efficiency, and profitability of enterprises. In today’s conditions where competition is getting more severe, maintenance planning activities have an important share in operating costs. Therefore, it is important to correctly identify and implement appropriate maintenance management planning to survive. In this study, it is aimed to select the most appropriate maintenance strategy (MS) utilizing the Pythagorean fuzzy TOPSIS (PF-TOPSIS) method for a food company in Turkey. Five main criteria (safety, cost, reliability, feasibility, and added-value), twenty sub-criteria, and six alternative maintenance strategies (corrective maintenance (CM), time-based preventive maintenance (TBPM), opportunistic maintenance (OM), condition-based maintenance (CBM), predictive maintenance (PdM), and reliability-centered maintenance (RCM)) were identified in order to choose the most appropriate MS. The best MS has been determined after the implementation of the PF-TOPSIS methodology, and alternatives are ranked according to PF-TOPSIS results.

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Author information

Authors and Affiliations

  1. Konya Food and Agriculture University, Konya, Turkey

    Tolga Gedikli, Beyzanur Cayir Ervural & Durmus Tayyar Sen

Authors
  1. Tolga Gedikli
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  2. Beyzanur Cayir Ervural
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  3. Durmus Tayyar Sen
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Corresponding author

Correspondence to Beyzanur Cayir Ervural .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  3. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

  5. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  6. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

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Gedikli, T., Ervural, B.C., Sen, D.T. (2021). Evaluation of Maintenance Strategies Using Pythagorean Fuzzy TOPSIS Method. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_59

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