• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.7 s.144
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• pp.897-908
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• 2005

The purpose of this study was to search for the effective design process model f3r mass customized clothing. Therefore, this study was to propose two models of mass customized fashion design processes which were different in the customized degree and to compare their efficiencies and appropriateness with those of the existing fashion design process. The data was obtained from a survey of 150 females in their twenties and thirties living in Seoul and Gyeonggi during April in 2003. It was analysed by frequency, $X^2-test$, crosstabulation, correlation, t-test and multiple-regression. The results of survey were: Many respondents$(62.0\%)$ preferred mass customized products and mass customized design process model which suggested more choices to presumers. The mass customized design process was considered to be applicable to the present domestic clothing market. In the case of the whole respondents, color was a very important design element in mass customized design process model; because of this, the opportunity to choose colors will be essential in mass customized design process. In the case of respondents who have higher preference on mass customized products, textile(texture) was a very important design element. In the cases of both(whole respondents and respondents who have higher preference on mass customized products), style was the most important design element in fashion design process. To summarize, it proposed that to accept the mass customized clothing will be possible in this study. What is more, the guidelines to develope mass customized fashion design process model were suggested in this study.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.102-115
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• 2015

Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.119-139
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• 2002

In electronic catalogs, each item is represented as an independent unit while the parts of the item can be composed of a higher level of functionality. Thus, the search for this kind of product database is limited to the retrieval of most similar standard commodities. However, many industrial products need to configure optional parts to fulfill the required specifications. Since there are many paths in finding the required specifications, we need to develop a search system via the configuration process. In this system, we adopt a two-phased approach. The first phase finds the most similar template, and the second phase adjusts the template specifications toward the required set of specifications by the Constraint and Rule Satisfaction Problem approach. There is no guarantee that the most similar template can find the most desirable configuration. The search system needs backtracking capability, so the search can stop at a satisfied local optimal satisfaction. This framework is applied to the configuration of computers and peripherals. Template-based reasoning is basically the same as case-based reasoning. The required set of specifications is represented by a list of criteria, and matched with the product specifications to find the closest ones. To measure the distance, we develop a thesaurus of values, which can identify the meaning of numbers, symbols, and words. With this configuration, the performance of the search by configuration algorithm is evaluated in terms of feasibility and admissibility.