# Evaluation of the Barriers to Maintenance 4.0 for the Textile Industry via Pythagorean Fuzzy SWARA
## 3 Materials and Methods
### Barriers to Maintenance 4.0
#### 3.1.1 Organizational and Managerial Main Criteria  
* Lack of top management commitment: One of the barriers encountered in integrating Maintenance 4.0 applications into a company is the lack of support from top management. Maintenance 4.0 means integrating new technologies and tools such as artificial intelligence, the IoT, machine learning, and data mining into the business. For this integration to be implemented successfully, top management must provide the necessary strategic support and sufficient budget, leading the entire team in this transformation process. Otherwise, Maintenance 4.0 integration should not be expected to be successful [1; 8; 43; 44]. * Need for organizational restructuring of maintenance-related functions: Maintenance 4.0 transformation should be perceived not only as a technological transformation, \begin{table}
\begin{tabular}{c c c} \hline
**Code** & **Barrier Name (Sub-Criteria)** & **Main Criteria** \\ \hline B1 & Lack of top management commitment & Organizational and Managerial \\ B2 & Need for organizational restructuring of & Organizational and Managerial \\ B3 & Lack of collaboration between departments & Organizational and Managerial \\ B4 & Lack of digital culture and resistance to change & Organizational and Managerial \\ B5 & Absence of a clear strategic roadmap & Organizational and Managerial \\ B6 & Lack of strategy for AI and Industry 4.0 adoption & Organizational and Managerial \\ B7 & Lack of managerial competencies and limited resources & Organizational and Managerial \\ B8 & Low maturity level of enabling technologies & Technical Competence \\ B9 & Insufficient physical and digital IT infrastructure & Technical Competence \\ B10 & Difficulty in system and software integration & Technical Competence \\  & (interoperability issues) & Technical Competence \\ B11 & Lack of sensors/Low accuracy/High power consumption & Technical Competence \\ B12 & Integration challenges between IT and OT systems & Technical Competence \\ B13 & Issues in data quality and quantity & Data-Related and Cybersecurity \\ B14 & Inability to perform real-time monitoring & Data-Related and Cybersecurity \\ B15 & Data security and privacy concerns & Data-Related and Cybersecurity \\ B16 & Complexity in big data management and analytics & Data-Related and Cybersecurity \\ B17 & Lack of digital literacy among staff & Data-Related and Cybersecurity \\ B18 & Risks in information security and data sharing (internal & Data-Related and Cybersecurity \\ B19 & Lack of technical skills among maintenance staff & Human Resources and Training \\ B20 & Lack of structured training programs for capacity building & Human Resources and Training \\ B21 & Skill shortages in the labor market & Human Resources and Training \\ B22 & Lack of cultural readiness for AI and digital transformation & Human Resources and Training \\ B23 & High initial capital investment & Financial \\ B24 & Uncertainty regarding economic returns & Financial \\ B25 & Lack of governmental and institutional support & Financial \\ B26 & Legacy equipment incompatible with digitalization & Operational \\ B27 & Difficulties in process control and performance optimization & Operational \\ B28 & Scheduling and planning optimization challenges & Operational \\ B29 & Challenges in estimating remaining useful life & Operational \\ B30 & Need for accurate predictive maintenance models & Operational \\ B31 & Lack of a structured framework specific to Maintenance 4.0 & Operational \\ \end{tabular}
\end{table} 
Table 2: Categorization of barriers. but also as an organizational transformation process within the business. If the traditional organizational structure is continued, it may not be possible to successfully implement Maintenance 4.0 applications.