Research On Problems Of Smart Garment Ecosystem Oriented To Personalized Customization

Agile Supply Chain (ASC) is a dynamic supply and demand network alliance composed of multiple virtual enterprises, which enables the supply chain to exhibit the features of rapid response, demand for personalized and agile manufacturing. Based on the Internet to make the industry supply chain become agile is the commonly used means for domestic traditional industries to change the development model. At present,the development of China's garment industry into a "bottleneck". With the consumer's personalized demand for garment, the garment production presents the new characteristics of small batch, multi variety and rapid manufacture, as well as the whole.industry supply chain presents the new features of intelligence, interconnection,integration and collaboration. In other words, the traditional operation mode of garment industry has been unable to adapt to the new development requirements of the garment industry.Therefore, this paper studied the Smart Garment Ecosystem (SG-ECO), which is basis of agile supply chain ideas and extensive integration of the apparel industry resources including design, production, logistics, sales, finance, etc. Then, focused on researching the Personalized Garment Customization Platform (SG-PGCP) and the collaborative production related issues of personalized customization garment in SG-ECO. Specifically, the main contents of the paper are as follows:(1) Puts forward the Smart Garment Ecosystem (SG-ECO). Based on the current problems of garment industry as well as personalized garment customization, the paper proposed the definition of SG-ECO by referring to the theory of agile supply chain and Internet, and analyzed the connotation of SG-ECO from both smart and ecology. The system objectives and overall functions of SG-ECO were analyzed, and the overall structure of SG-ECO was designed, which consists of front-end users, SG-PGCP and regional industrial clusters (RIC) , emphatically, analyzed the roles and interrelations of market players in RIC as well as the characteristics of SG-ECO such as smart, openness,interconnection and self-organization. With system objectives of SG-ECO, the three key issues that need to be resolved urgently in SG-ECO were discussed, including the research of SG-PGCP, the collaborative production of personalized custom garment and the distribution of benefits of cooperative alliance.(2) Designed the Personalized Garment Customization Platform (SG-PGCP). The definition and connotation of SG-PGCP was proposed, and the core functions of SG-PGCP was analyzed. Then, the SG-PGCP structure frame was designed which were composed of four parts: personalized garment customization e-commerce platform,business management platform, database management platform and basic information collection and processing platform. What's more, analyzed the core function of each business module of the business management platform in detail. Aiming at the problem of the individualized customization model, the paper puts forward the incomplete and complete two personalized customization models, and designs the corresponding operation mode of SG-PGCP and its core business process. Finally, this paper presents a design scheme of online 3D virtual fitting in SG-PGCP and studies the key technologies needed for its realization.(3 ) Researched on production scheduling model for personalized garment customization based on RCPA mode. With the the idea of collaborative production management and the research of regional industrial cluster (RIC) in SG-ECO, a new type of regional collaborative production alliance (RCPA) for personalized customized garment production was designed. In order to realize the production tasks of personalized customized garment in RCPA, a flexible production scheduling model(FPSM) was proposed to maximize the weighted cost savings under RCPA model and multi-constraint conditions. Then, designed an improved genetic algorithm (DIC-GA)based on double integer encoding to solve the FPSM problem. The method can avoid the generation of lethal chromosomes and reduce the complexity of the algorithm. The experimental results of three different order scales verified the effectiveness of DIC-GA in solving FPSM problem.