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Shima Seiki to participate in the Preview at Seoul expo
30 Aug '18
2 min read
Courtesy: Shima Seiki
Shima Seiki, leading computerised knitting machine manufacturer headquartered in Wakayama, Japan, together with its Korean subsidiary, Shima Seiki Korea, will participate in the Preview in Seoul exhibition in booth D-24. The international trade exhibition for functional textiles and fashion will be held from September 5 to 7, 2018, in Seoul, Korea.
Recent consumer trends such as increased online shopping activity have changed supply chain requirements, with growing demand for mass customisation and short turnaround. The combination of Shima Seiki’s pioneering Wholegarment knitting technology that allows a garment to be produced in its entirety without the need for linking or sewing afterward, along with the SDSONE APEX3 3D design system yields revolutionary gamechanging flexibility in the knit supply chain to support such trends.
At Preview in Seoul, the latest version of the APEX3 design system will be on display. At the core of Shima Seiki’s ‘Total Fashion System’ concept, ultrarealistic simulation capability on APEX3 allows virtual sampling to minimise the impact that the samplemaking process has on current manufacturing in terms of time and cost. With this new manufacturing model, the production cycle can be shortened to such an extent that ondemand production is possible without being limited to seasonal cycles. This allows the product planning stage to be extended to allow more accurate analysis of consumer demand, according to a Shima Seiki press release.
Moreover, virtual samples can be used at the retail level to gauge consumer acceptance of upcoming products, data for which can be used for forecasting demand. Such feedback can be used to adjust production, and optimise inventory to prevent leftover stock that would otherwise go to waste. If stock runs out midseason, ondemand production capability of Wholegarment knitting can furthermore replenish inventory to prevent lost opportunity. In such a way, the total fashion system maximises profit while achieving zero inventory loss, zero leftover stock, zero lost sales opportunity and most importantly zero waste through smart, speedy and sustainable production. (GK)
Recent consumer trends such as increased online shopping activity have changed supply chain requirements, with growing demand for mass customisation and short turnaround. The combination of Shima Seiki’s pioneering Wholegarment knitting technology that allows a garment to be produced in its entirety without the need for linking or sewing afterward, along with the SDSONE APEX3 3D design system yields revolutionary gamechanging flexibility in the knit supply chain to support such trends.
At Preview in Seoul, the latest version of the APEX3 design system will be on display. At the core of Shima Seiki’s ‘Total Fashion System’ concept, ultrarealistic simulation capability on APEX3 allows virtual sampling to minimise the impact that the samplemaking process has on current manufacturing in terms of time and cost. With this new manufacturing model, the production cycle can be shortened to such an extent that ondemand production is possible without being limited to seasonal cycles. This allows the product planning stage to be extended to allow more accurate analysis of consumer demand, according to a Shima Seiki press release.
Moreover, virtual samples can be used at the retail level to gauge consumer acceptance of upcoming products, data for which can be used for forecasting demand. Such feedback can be used to adjust production, and optimise inventory to prevent leftover stock that would otherwise go to waste. If stock runs out midseason, ondemand production capability of Wholegarment knitting can furthermore replenish inventory to prevent lost opportunity. In such a way, the total fashion system maximises profit while achieving zero inventory loss, zero leftover stock, zero lost sales opportunity and most importantly zero waste through smart, speedy and sustainable production. (GK)
Fibre2Fashion News Desk – India
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