## 5 Design of the MES System
### Requirement Analysis and MES Function Suggestion  
From the nine future MES deployment directions presented above, we present the following six development directions of cloud-based collaborative MES for the production of sportswear products based on the analysis of the requirements of the target industry. Cloud-based MES: The brand, fabric, printing, and sewing companies included in the sportswear manufacturing value chain targeted in this study are mostly SMEs in the form of urban small business owners, and in particular, the level of ICT introduction is quite low. In the case of brand companies, a 3D design system for product design has been introduced and used, and an ERP system focusing on order and accounting management is used. In the case of printing companies, brand companies download design files that have been completed from the web hard system and print them, and sewing companies do not use a separate ICT management system. Due to the cost and manpower limitations of SMEs, the introduction and operation of management systems such as MES need to be cloud-based. IoT-based MES: Among the functions of the MES system, the lot tracking function that tracks the process can be considered a key function to be applied even in a collaborative environment. As such, in addition to the company's internal process, various standard protocol-supporting IoT-based MES systems are needed for connecting various devices such as QR systems, vision systems, and mobile terminals for lot tracking between collaborative companies. Furthermore, due to the recent development of various sensors and IoT terminals, IoT-based MES systems for real-time manufacturing data processing, such as that related to the manufacturing environment and facility status, are needed. Collaborative MES: The manufacturing process of producing sportswear covered in this study goes through the \"design-fabric supply-printing-sewing\" steps and is conducted through collaboration with different companies at each stage. The collaboration form in this study consists of several collaborating companies (fabric, printing, sewing) centered on one design company, and the collaborative companies may change flexibly depending on the number of orders made by customers. Moreover, the suspension of transactions or new transactions with the collaborative company may occur according to various criteria, such as the quality level of the collaborative company and compliance with the delivery date. In other words, there is a need for a collaboration function-supporting MES system that can reflect the requirements of such collaboration. Figure 7: Detailed manufacturing process of sportswear. 4 MES mobility: For implementing lot tracking, which is an important function of MES, it is necessary to collect information at the start and end of the process. For example, in a sewing company, after the fabric printed with the design is received, the detailed process of \"spreading-tailoring-sewing-package-delivery\" is carried out. In particular, in the sewing process in which a number of workers use individual sewing machines to assemble the final product, requests such as whether the worker works or managing defective products are issued for the fabric. As such, it is difficult to check the start and end of the process automatically, and there is a need for a plan for lot tracking in a process centered on workers. To this end, it is necessary to apply the MES platform using mobile devices, and in particular, UI/X, considering that the worker's workability needs to be reflected. 5 Integration: In the collaboration case in this study, design companies that proceed with customer orders and product development are currently using the ERP system, and if the MES system is introduced in the future, it is necessary to link the purchase and sales functions of the product. 6 Scalability and reconfigurability: In the case of the fashion industry, it is necessary to introduce an MES system that can reflect the form of \"discrete production\" among the types of manufacturing processes.