# 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
Therefore, the duties and responsibilities of maintenance teams should be redefined, a new organizational structure should be established, new job descriptions should be made (such as data analytics, digital monitoring), a connection should be established between maintenance teams and information technology teams, and horizontal and flexible organizational structures should be developed [1; 8; 13; 43; 45]. * Lack of collaboration between departments: In a successful Maintenance 4.0 application, good cooperation should be established between departments. What is required for Maintenance 4.0 is that not only maintenance departments, but also the other departments of the business use technologies such as IoT, artificial intelligence, big data, cloud computing. If the connection between departments is weak or absent, data sharing will be limited, necessary and sufficient data may not be obtained and analyzed from sensors, cybersecurity and software infrastructures may be inadequate, and the digital integration of processes cannot be achieved. This causes Maintenance 4.0 applications to slow down or fail [13; 23; 46]. * Lack of digital culture and resistance to change: For Maintenance 4.0 applications to be successful, employees within the company must adopt a digital culture and be open to continuous learning. When an innovation is integrated into the company, the employees' adoption of this innovation and their lack of resistance will be a factor affecting the success of the new application [1; 47]. * Absence of a clear strategic roadmap: For a successful Maintenance 4.0 implementation, a clear strategic roadmap must be created within the company. If such a roadmap cannot be created, confusion and uncertainty will occur, resources will be wasted, and integration problems will occur. With a proper roadmap, resources will be transferred correctly, senior management and employee participation will increase, and changes in management will be more effective [1; 13; 48]. * Lack of strategy for AI and Industry 4.0 adoption: Integration of artificial intelligence and Industry 4.0 technologies is very important in Maintenance 4.0 applications. For this, a strategy should be determined within the company around this issue. If this strategy is not determined correctly, technological investments will be unnecessary, artificial intelligence applications will not be integrated into maintenance operations, employees will remain in uncertainty, and long-term gains will not be achieved. However, with a correctly determined strategy, it will become clear how the processes will be digitalized, that data infrastructure and sensor systems are planned correctly, and that employees are motivated and involved in the process [1; 49]. * Lack of managerial competencies and limited resources: Maintenance 4.0 applications are a digital transformation process, and managers are expected to be proficient in digital transformation and Industry 4.0 applications during this process. However, in many businesses, managers are not competent in managing issues such as data literacy, artificial intelligence strategies, and risk management. These deficiencies lead to the incorrect construction of the maintenance planning strategy, the incorrect selection of technologies, and employee resistance. In addition, the use of technologies, such as sensors, data collection and processing, artificial intelligence algorithms, and digital twins, to be used in the Maintenance 4.0 application process are quite costly and require qualified labor. It is difficult to overcome these barriers, especially in small- and medium-sized businesses (SMEs) [23; 50].