Sancar, SemihKuşakcı, Ali OsmanAyvaz, BerkYönetim Bilimleri Fakültesi, İşletme Bölümü2025-03-062025-03-062025Sancar, S., Kuşakcı, A. O. & Ayvaz, B. (2025). Evaluation of maintenance strategies using Pythagorean fuzzy sets: A novel model for time-constrained processes. Journal of Business Analytics, 1-26. http://doi.org/10.1080/2573234X.2025.24670972573-234X2573-2358http://doi.org/10.1080/2573234X.2025.2467097https://hdl.handle.net/20.500.12154/3239Considering the large investment cost as well as expectations such as increased awareness ofoccupational safety and quality, choosing the appropriate maintenance strategy emerges as acritical decision. Time-constrained production processes, which demand defect-free produc-tion within a limited timeframe, intensify the significance of this selection problem. In suchproduction 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 themost appropriate maintenance planning strategy for time-constrained processes. Given thatthe process of selecting a maintenance strategy is ambiguous and lacks conclusive assess-ments, it involves numerous hazy criteria. Thus, this study presents a framework that includesthe Pythagorean Fuzzy AHP-CRITIC-Entropy combined weighting method hybridized withPythagorean Fuzzy WASPAS. The model evaluates the maintenance options of Türkiye’s largestprinting company, which operates under time-constrained processes, in a real-world case studyproving the merit of the proposed methodology.eninfo:eu-repo/semantics/closedAccessMaintenance StrategyPythagorean Fuzzy AHPPythagorean Fuzzy CRITICPythagorean Fuzzy EntropyPythagorean Fuzzy WASPASArticle12610.1080/2573234X.2025.2467097Q3WOS:0014327652000012-s2.0-86000024553Q3