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Shima Seiki To Exhibit SWG061N2 Whole Garment Knitting Machine At CeBIT 2017

Japan-based Shima Seiki, a leading computerised knitting machine manufacturer, has announced plans to participate in CeBIT 2017, the international exhibition for digital business in Hannover, Germany, this month.

 

CeBIT 2017 will run from March 20 to March 24 at the Hannover Exhibition Grounds from 9 am to 6 pm.

 

 Shima Seiki will display its machinery as part of the Japan Pavilion hosted by Japan External Trade Organisation (JETRO).

 

The company will demonstrate its combination of seam-free whole garment knitting technology and its SDS-ONE APEX3 3D design system for supporting recent consumer trends, like increased online shopping activity, which have changed supply chain requirements, with growing demand for mass customisation and short turnarounds.

 

The whole garment knitting technology will be displayed in the form of the compact SWG061N2 knitting machine which is designed to offer great flexibility to produce a variety of items such as gloves, socks, leggings, hats and mufflers, as well as kidswear and technical textiles.

 

According to the company, the SWG-N2 series is ideal for a range of applications from production in large-scale knitting factories to sampling in design studios as well as R&D and educational facilities, according to the company.

 

Whole garment knitting forms a synergy with the SDS-ONE APEX3 3D design system that has been developed to provide game-changing flexibility in the knit supply chain. Ultra-realistic simulation capability on APEX3 allows virtual sampling to minimise the impact that the sample-making process has on current manufacturing in terms of time and cost, according to the company.

 

 “With this new manufacturing model, the production cycle can be shortened to such an extent that on-demand production is possible without being limited to seasonal cycles, effectively meeting head-on the growing demand for mass customisation,” the company stated.

 

In addition, virtual samples can be used effectively for online as well as offline retailing to gauge demand before production.

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