Sessions
Session 7
MCP in the Fashion Industries: Enablers and Applications
Monday Oct 5 2009
14:05-15:25
Machtinger, Ran (OptiTex Ltd., Israel)
OptiTex Goes Online
Kirk, Sue (Manchester Metropolitan University, United Kingdom)
Mass customization for a practising textile designer – empirical research
Method - I am a Masters of Arts Textiles student at Manchester Metropolitan University. I have carried out the following primary research as I intend to set up bespoke textile design business based on mass customisation on completion of my MA. Five interested clients were given the opportunity to experience co-design. They each had a project that needed a printed textile outcome. I took them through a customer-centric, collaborative design experience, resulting in a co-designed, unique, personalised, high quality, digitally printed textile. These products will then be further processed into items such as cushions, dining chairs, bed covers to name a few. Findings - All enjoyed this challenging, unique experience. I discovered the mechanics of such a process i.e. the time it takes, the level of commitment required and if I enjoy sharing my design experience with someone else. It was concluded that there is a business to be developed, which embraces a direct client/designer interface, but that also, this model can be developed that embraces e-commerce. Value - This paper is about research that is empirical and primary. It is original and based on real people and events and our shared experience. I have placed the work into the context of mass customization, comparing it with other MC businesses such as Dell and nikeid.nike.com/nikeid/index.jsp.
Park, Chang Kyu (Konkuk University, Republic of Korea)
Park, Yongsoo (i-Omni Co. Ltd, Republic of Korea)
Jeon, Hyeong Joon (D&M FT Co. Ltd, Republic of Korea)
Kim, Sungmin (Chonnam National University, Republic of Korea)
Koh, Joonseok (Konkuk University, Republic of Korea)
Implementation of i-Fashion
i-Fashion in Korea is aiming at ubiquitous and personal fashion world through digital convergence in IT and Fashion industry. Vision of i-fashion is creation of i-Fashion market and industry to provide more values with new digital services, seeking what customers want. i-Fashion Technology Center has supported pilot projects of 16 fashion enterprises to deploy business intended by i-Fashion in cooperation with the Korean government, the Seoul Metropolitan City, Konkuk University, the KITECH, the KAIST and several other universities. The individual corporation is able to gain the support of a professional technology IT system, production facilities, and specialists within i-Fashion Technology Center. Therefore, corporations are able to operate their business model within the center, and will support them if they regard their business model as worthy. Several on-line shopping malls and digital shops have implemented i-Fashion with digital shopping assistance services including 3D avatar, virtual try-on, virtual fitting, etc. and custom-made apparel goods on demands including dress shirts, T-shirts, men’s suit, ladies dress, uniforms, glove, bedding, etc.
Park, Park, Jeon, Kim, Koh -paper pdf
Domina, Tanya (Central Michigan University, United States)
Kinnicutt, Patrick (Central Michigan University, United States)
MacGillivray, Maureen (Central Michigan University, United States)
Mining the Human Torso: Moving from Mass Customization to Mass Matching
Data mining tools can be used effectively for determining customer buying patterns and finding correlations between seemly unrelated variables. By using image segmentation techniques on the thermal profiles of human subjects combined with a database of subject demographics and anthropometric data, companies are now technologically able to mass match apparel with heterogeneous thermal and moisture wicking properties to provide extra value for the consumer interested in both functional performance of their garment and on fit. This paper discusses the role of data mining to correlate thermal profiles of the human torso with demographic and anthropometric information, enabling categorization of consumers into a “thermal family” or community. By enabling consumers to provide feedback in the fit and functional performance of their garment (or garment system), this information can be added to the database and used in garment redesign.