Evaluation of maintenance strategies using Pythagorean fuzzy sets: a novel model for time-constrained processes

Semih Sancar, Ali Osman Kusakci and Berk Ayvaz

Journal of Business Analytics, 2025, vol. 8, issue 3, 170-195

Abstract: Considering the large investment cost as well as expectations such as increased awareness of occupational safety and quality, choosing the appropriate maintenance strategy emerges as a critical decision. Time-constrained production processes, which demand defect-free production within a limited timeframe, intensify the significance of this selection problem. In such production processes, the product is generally short-lived, so stocking is not possible. Therefore, halting operations incurs significant costs. In this study, we aim to choose the most appropriate maintenance planning strategy for time-constrained processes. Given that the process of selecting a maintenance strategy is ambiguous and lacks conclusive assessments, it involves numerous hazy criteria. Thus, this study presents a framework that includes the Pythagorean Fuzzy AHP-CRITIC-Entropy combined weighting method hybridized with Pythagorean Fuzzy WASPAS. The model evaluates the maintenance options of Türkiye’s largest printing company, which operates under time-constrained processes, in a real-world case study proving the merit of the proposed methodology.

Date: 2025
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DOI: 10.1080/2573234X.2025.2467097

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