# Evaluation of the Barriers to Maintenance 4.0 for the Textile Industry via Pythagorean Fuzzy SWARA
## 5 Conclusions  
With the rapid entrance of Industry 4.0 applications into our lives with cutting-edge technologies, the Maintenance 4.0 paradigm has also become vital for businesses. Maintenance 4.0 does not only aim to detect and prevent failures, but also helps businesses to survive in the face of intense competition by increasing productivity with the effective use of resources. Predictive, smart, proactive, and autonomous maintenance strategies are developed thanks to tools such as artificial intelligence, the Internet of Things, and data analytics used within the scope of Maintenance 4.0 applications. In this way, both equipment availability and reliability are increased, and maintenance costs and production breakdown due to failures are minimized. Therefore, the Maintenance 4.0 paradigm is important for the sustainability of manufacturing enterprises. Although the importance of Maintenance 4.0 is known, it is not very easy to implement them in real life. In this study, the importance of Maintenance 4.0 is emphasized and the barriers encountered are determined. They are defined in line with a comprehensive literature review and expert opinions. The barriers that Maintenance 4.0 applications will encounter in the textile industry, where there is intensive labor use, and the weights of these barriers are determined. The SWARA method, based on Pythagorean fuzzy sets, was used to determine the weights of the barriers. The results of this study reveal that Organizational and Managerial stands out as the most crucial main criterion. It is followed by Operational, while Technical Competence ranks closely behind in third place. Data-Related and Cybersecurity takes the fourth position in the hierarchy. On the other hand, Human Resources and Training and Financial are identified as the least significant among the main criteria, with Financial having the lowest overall weight. As for the sub-criteria, the top-ranked is \"Integration challenges between IT and OT systems\", which falls under Technical Competence. The next in importance is \"Need for organizational restructuring of maintenance-related functions\", categorized under Organizational and Managerial. Ranked third is \"Lack of a structured framework specific to Maintenance 4.0 implementation\", belonging to the Operational criteria. The fourth most critical sub-criterion is \"Low maturity level of enabling technologies\", also linked to Technical Competence. This study demonstrates that addressing Maintenance 4.0 requires not only overcoming technological limitations, but also implementing cultural changes within the organization. From a managerial perspective, Maintenance 4.0 should be integrated into the organization's strategic objectives, which will help promote internal acceptance of the initiative. A more flexible internal structure should be established to support the operations of the maintenance department. For technical barriers, system interfaces should be developed and pilot projects should be conducted to ensure the effective use of data. To overcome data-related barriers, a system that ensures data quality and security must be established. In terms of human resources, training programs and suggestion systems should be implemented to increase employee engagement. As for financial barriers, investments should be planned with a long-term perspective to ensure sustainability and continuity. The textile sector is limited in terms of both its operational and technological capacities. In this regard, it imposes restrictions on the generalizability of findings compared to other industries. Moreover, differences in workforce structures and organizational cultures are likely to emerge, further limiting the applicability of sector-specific insights. Therefore,incorporating examples from diverse sectors would enable a more comprehensive understanding of the challenges associated with Maintenance 4.0, ultimately leading to more generalizable and robust conclusions.