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  • 7/30/2019 India Itme Uster

    1/1

    PTJ November 2012 57

    9th

    IndiaInternationalTextileM

    achineryExhibition

    A new edition o f th e unique USTER

    STATISTICS q ua lity benchmarks is to be

    relea sed at the end of t his yea r. The fo rth-

    coming edition o f U STER STATISTIC S

    2013 w ill underline its benefits a s a vita l

    success fa ctor fo r textile co mpanies, pro-

    viding a common language to define pre-

    cise quality factors along the entire

    production chain. Yarn producers, buyers,

    retailers and machine manufacturers all

    rely o n USTER STATISTICS as the ba sis for

    quality benchmarking and trading and a

    foundation for industry-wide quality

    improvement . Spinners ca n t rust USTER

    STATISTICS t o signpost bett er co mpeti-

    tiveness, cost-optimized q uality disciplinesand avoid expensive claims and rejects.

    Mo re valuable han everThe con tinuing glob alization of text ile

    trad e mea ns USTER STATISTICS today

    are more important than ever. Yarn pro-

    ducers must ben chmark their ow n q uality

    against that of other mills, so genuine

    global standa rds are necessary to be com-

    petitive in the world market.

    When spinners, for example from

    Pa kista n, Turkey, Bang ladesh a nd Brazil

    talk about 'good' yarn, they sometimes

    mean very different t hings. The only w ay

    to find an a greement is to define objective

    characteristics, supported by mea surement

    parameters, methods and instruments

    capable of measuring these repetitively

    and a ccurate ly. This is precisely w hat

    USTER achieves.

    Mult iple benefits or yarn producersYarn producers benefit in several ways

    w ith USTER STATISTICS. For instance,

    USTER STATISTICS ma ke it simple for a

    mill to set its own quality targets

    w hether using the C D o r online version(www.uster.com) aided by the integral

    correlative quality parameters.

    Spinning mills can also objectively

    compare in-house performance versus

    global best practice. With the help of the

    USTER STATISTICS, the mill can iden tify

    performance gaps and pinpoint key per-

    formance indicators for optimizat ion of the

    production process. A further benefit

    enab les a spinning mill to enha nce its com-

    pet itive position , since USTER STATISTIC S

    make it possible to describe yarns in a

    tota lly objective w ay, substantiated by real

    paramet ers. Yarn q uality tested on USTER

    equipment is provable and guaranteed,

    tha nks to direct compa rison w ith USTER

    STATISTICS. This data gives t he mill a f ac-

    tual quality description in case of a claim.

    Since the benchmarked quality will gener-

    ally be at a favorable level, this will

    improve the mills competitive po sitioning

    as w ell as providing an att ractive message

    for marketing purposes.

    Yarn buyers app reciate claim- free andcost-opt imized environment

    It is obvious that globalization has

    changed the trade channels in the textile

    industry significantly in the past 20 years. In

    many cases, personal relationships between

    suppliers and buyers often no longer exist.Products such as yarn and fa bric are often are

    spot-market internet purchases so quality

    cannot be trusted to a firm handshake or an

    experienced touch of the material.

    Missing specifications based on objec-

    tive values led to a serious deterioration in

    the quality of garments or other textile

    go ods. For many retailers, the re has been

    a severe impact on operating profits,

    because of claims. Leading retailers there-

    fore are making hug e efforts to avoid such

    issues. In many cases, they are able to

    achieve lower quality costs by insisting onclear specifications for yarns and fabrics.

    USTER STATISTICS are regularly used by

    buyers as the platform for product specifi-

    cations in commercial transactions.

    With USTER STATISTICS on C D o r

    online format traders, wea vers and knit-

    ters are able to compare material from dif-

    ferent suppliers and to optimize their yarn

    sources to manage the quality and the

    costs of their product.

    The anguage of qualityGlobalization on one hand and

    increasing cost pressures on the other

    these are the key factors in ensuring that

    USTER STATISTICS bot h tod ay a nd in the

    future, are still relevant to the worldwide

    textile industry. Tha nks to U STER STATIS-TICS, ya rn prod ucers can benchma rk and

    to opt imize the ir production processes and

    objectively prove the quality of what they

    are selling . For buye rs, USTER STATIS-

    TICS provide full transparency o n w hat

    they are buying and a clear indication of

    what to expect in the finished fabric

    appearance.

    Retailers can take advantage of the

    USTER STATISTICS to opt imize costs in

    their supply chain by defining their specific

    needs according to the quoted values.

    USTER

    STATISTICS allow all users to spea kthe global language of quality needing

    no t ranslat ion a nd ea sily understood by all.

    The new USTER STATISTICS 2013 w ill be

    especially appreciated by producers and

    buyers as a common qua lity lang uage.

    The upda ted statistics fea turing the

    new classification standards such as out-

    liers classified by the recently introduced

    USTER CLASSIMAT5 w ill be launched

    at the end of this year. The 2013 edition

    w ill remain the essent ial tool for compa r-

    ing key parameters along the ent ire value

    chain, from raw fiber through sliver and

    roving to the final yarn and beyond, con-

    tinuing to offer weavers, knitters, yarn

    traders and retailers the essential frame-

    w ork to specify a nd obt ain the q uality t hey

    need.

    U STER STATISTICS 2013 ed ition

    Benchmarkin g or success egendary global standards con tinue o drive quality and compet itiveness or utu re grow th

    USTER STATISTICS ch art fo r ya rn ev enne ss va riat ion.

    Testing sta ple yarn w ith the

    USTER TESTER 5 S-800.