Evaluation of maintenance strategies using Pythagorean fuzzy sets: a novel model for time-constrained processes
Semih Can Sancar et al.
What the paper says
Considering 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.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.