USTER, Switzerland — December 2, 2012 — 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
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.
Many retailers have concluded that their existing system of ordering garments was not
sufficient to guarantee the production of final products of constant quality. To achieve
consistency, they have started to formulate quality requirements in what are called ‘yarn quality
profiles’, based on USTER® STATISTICS. Experience has determined the quality levels appropriate for
Worldwide established benchmarks become the common quality language
The new edition of the unique USTER® STATISTICS is now available on uster.com (service
section). Also the release of USTER® STATISTICS 2013 will underline their benefits as a vital
success factor for textile companies, providing a common language to define precise quality factors
along the entire production chain. Yarn producers, buyers and retailers all rely on USTER®
STATISTICS as the basis for trading and a foundation for industry-wide quality improvement.
‘Quality improvement always goes along with cost saving and price increase for the produced
material. Therefore it is sure that all users will benefit again from the USTER® STATISTICS 2013’,
says Thomas Nasiou, Head of Textile Technology within USTER.
Posted December 11, 2012