## 6 Development and Application of MES System  
### System Application  
In this study, in consideration of the six MES development directions, UML modeling results, and conceptual framework derived so far, a functional framework for specific system development is proposed as shown in Figure 13. Based on the proposed framework, a cloud-based collaborative MES system was developed and applied for supporting collaboration between design, fabric, printing, and sewing companies included in the sportswear manufacturing value chain. The functions of the applied system are based on the six MES construction directions presented above. First, when a design company logs into a collaborative MES system, which is a web-based (cloud-based) system, it is possible to identify the current work situation in the printing and sewing companies (Figure 14). In addition, it is possible to monitor the status of defects by process and delayed work anytime, anywhere. Moreover, the design companies prepare digital-based work instructions as shown below in Figure 15, not paper-based work instructions, and proceed with work instructions for each collaborative company. When working on a marker for a job with a confirmed order, a QR code is inserted for future process tracking. If a defect occurs in the work ordered by a customer, it is possible to monitor the detailed defect-related information such as the time when the defect occurred, customer name, process of occurrence and company, cause of the defect, and worker. Second, in this study, we applied the IoT platform for the purpose of lot tracking and real-time manufacturing data collection and interworking with MES. First, for lot tracking, lot tracking between processes was implemented using QR information added in the work order, and the corresponding QR included customer name, release date, and company name. Moreover, the QR information printed on the fabric was recognized by the vision system when the tailoring began to track the tailoring process among the detailed processes carried out by the sewing company (Figure 16). Second, in this study, we used  
Figure 13: Functional framework for cloud-based collaborative MES. Third, in this study, a total of 11 companies are participating: one design company, one fabric company, three printing companies, and six sewing companies, which are collaborating in the sportswear product manufacturing value chain of \"design-fabric-printing-sewing\" (Figure 18). In this way, a collaboration management function that enables flexible management of the collaborative companies was applied according to the order quantity of the design companies, which are the hub companies. If the number of collaborative companies increases in the future, it will also be necessary to introduce a company recommendation system that can effectively select the collaborative companies. Fourth, in the case of the cloud-based collaborative MES system proposed in this study, an Android-based mobile system was applied to support the management function of mo  
Figure 16: Order information recognition using vision system in the cutting process. Figure 17: IoT device for sewing machine data collection. Figure 18: Management function of collaborative companies in the value chain. bile workers in each process. For example, information on work instructions transmitted by design companies can be verified by sewing companies through mobile systems (Figure 19) and process progress can be managed step by step (Figure 20). Fifth, from the perspective of integration, this study largely considered two aspects. They are the integration between the aforementioned lot tracking and the IoT platform for real-time manufacturing data connection and the integration with the ERP currently being used by design companies. Figure 21 shows the linkage between ERP and the product sales function. Sixth, we implemented and applied the functions of the MES system in consideration of the process characteristics and collaboration of the fashion industry, which is the target industry of this study.