As customers’ tastes become more differentiated, so must companies’ offerings evolve. The demand for variety may soon become unmanageable, and several companies are addressing this trend by adopting a system of mass customization. One project, Knit on Demand, has been conducted by the Swedish School of Textiles in close collaboration with a knitting company and a retailer of tailored fashion in Stockholm. Production and sales of customized products pose logistical challenges for the companies involved, including the one-piece flow through almost the entire supply chain and the demand for short lead times in an otherwise slow environment, adding to the cost of manufacturing mass customized garments. Customization has logistical benefits such as minimised inventory; hence, high inventory turnover and the possibility of fast response to meet customer demand. The Knit on Demand concept can be considered as leagile because it comprises both lean and agile components. It is lean in the manufacturing stage upstream and agile downstream to better respond to customer demand on the market.
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In 1995, the Japanese manufacturer Shima Seiki introduced the first complete garment knitting machine capable of producing a ready-made flat knitted article under the trade name WholeGarment. Recently , the comp any also developed a co-design software tool, Ordermade WholeGarment®, for the customisation of knitted fashion garments. Factory Boutique Shima, their retail shop for on-demand production of customised knitted garments, makes it possible for client s to modify a knitted garment according to personal taste in style, colour , pattern and size. This study examines how such a process streamlines the interaction between customer and shop personnel, while expediting the programming of the knitting machine. In comparing the manual co-design process with the Ordermade WholeGarment® system, we used a computer simulation to analyse the efficiency and lead times of each concept. The case study method was employed with an inductive approach based on company visits and interviews.
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A flexible textile keyboard, using carbon nanotube (CNT) filled polypropylene (PP) composite fibres, is introduced. The identification of input information is achieved by reading the effective resistance of the conductive composite fibre. By using a single wire, a complex matrix is avoided and the interface between textiles and processing electronics is reduced to a minimum. LabVIEW has been used as the output display of the keyboard indicator for testing. This keyboard is fully flexible and washable, which provides opportunities for its integration with e- textiles.
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