Uster Technologies Ltd.launches the online version of the new edition of the worldwide established USTER STATISTICS.The 2013 edition features now data from the new USTER CLASSIMAT 5 and the USTER ZWEIGLE HL400.Further novelties are charts of new yarn styles and trendy materials.As ever the USTER STATISTICS are the base for a common quality language in the textile industry.
In 1957,Uster Technologies started to publish only a few tables for cotton and wool.USTER has expanded the content to more than 2200 charts over the past 55 years–always with the ambition to provide USTER STATISTICS for all kinds of material available in the market.Today,more than 30 major yarn styles are presented.New yarn styles in the latest edition 2013 are plied yarns and more blends of air-jet yarns.
The new edition of 2013
The highlights of USTER STATISTICS 2013 are the inclusion of data for USTER CLASSIMAT 5 and USTER ZWEIGLE HL400.While USTER CLASSIMAT 5 measures and classifies disturbing yarn defects,foreign fibers and vegetable matter,the USTER ZWEIGLE HL400 provides data of the length of protruding fibers.
A major requirement for the USTER CLASSIMAT graphs was to differentiate the yarn counts.So the graphs for USTER CLASSIMAT 5 are class-divided in three yarn count levels(fine,medium,coarse).As mentioned,it is the goal of Uster Technologies to publish new and innovative quality parameters.So,for the first time,graphs are available for foreign fiber,with separate vegetable matter results,and for outliers.
Relation between price performance ratio and USTER STATISTICS
All new and old features aim for the one goal to support the users to reach the ideal price performance ratio–especially for spinning mills.It is essential to compare objectively in-house performance versus global best practice.With the help of USTER STATISTICS,the spinning mill can identify performance gaps.The parameters can easily be used as key performance indicators for spinning process optimization.
Another benefit for the spinning mill is an increase in its competitive position,since USTER STATISTICS enable mills to declare objectively what they are producing and selling.Spinning mills can prove yarn quality levels when tested on USTER equipment,because of direct comparison with USTER STATISTICS.
Also for yarn users USTER STATISTICS are useful to optimize the costs.Changes in the industry through globalization have been dramatic.Fashion is changing fast.Quick deliveries are needed.Quality costs at all levels of the textile supply chain have increased.Higher quality costs may be caused not only by wrong selection of the yarn for a certain article but also by poor performance of the yarn.USTER STATISTICS are traditionally used to predict the quality of the fabric at an early stage,to avoid expensive additional costs due to second quality.
