// Indus­tries

Semiconductor Manufacturing

The manu­fac­tu­ring of semi­con­duc­tors is con­side­red one of the most deman­ding indus­tri­al pro­duc­tion pro­ces­ses. Thou­sands of para­me­ters, high­ly com­plex pro­cess chains, and ever-incre­asing qua­li­ty requi­re­ments make the indus­try a pio­neer in terms of data inten­si­ty.

To suc­ceed in this envi­ron­ment, it is essen­ti­al to extra­ct the maxi­mum value from the enorm­ous volu­mes of data gene­ra­ted and to make this infor­ma­ti­on actionable.

Halbleiterindustrie – Data Analytics als Schlüssel zum Erfolg

This appli­es equal­ly to rese­arch & deve­lo­p­ment, pro­duc­tion moni­to­ring, and qua­li­ty assu­rance. In all the­se are­as, stake­hol­ders bene­fit from sys­te­ma­ti­cal­ly ana­ly­zing the rela­ti­onships bet­ween pro­cess para­me­ters and tar­get varia­bles such as qua­li­ty metrics – for exam­p­le, through Design of Expe­ri­ments (DoE). Defect pat­terns on wafers or anoma­lies in test runs can be iden­ti­fied more quick­ly, root cau­ses can be dia­gno­sed pre­cis­e­ly, and sus­tainable opti­miza­ti­on mea­su­res can be imple­men­ted. By “dril­ling down” from a high-level over­view to the detail level, error sources can be nar­ro­wed down and pre­ven­ted effec­tively.

Ano­ther suc­cess fac­tor is effi­ci­ent com­mu­ni­ca­ti­on of results: Ana­ly­ses and fin­dings can be pre­pared inter­ac­tively and tail­o­red to dif­fe­rent stake­hol­ders – from pro­duc­tion manage­ment to qua­li­ty assu­rance. Final results can also be auto­ma­ti­cal­ly docu­men­ted in reports, ensu­ring trans­pa­ren­cy and tracea­bi­li­ty.

Why StatSoft?

Stat­Soft pro­vi­des com­pre­hen­si­ve sup­port for com­pa­nies in the semi­con­duc­tor indus­try – from the imple­men­ta­ti­on of powerful data analytics plat­forms to the sus­tainable ena­blem­ent of employees:

  • Expe­ri­en­ced con­sul­tants – with deep exper­ti­se in sta­tis­tics, data science, and semi­con­duc­tor pro­ces­ses
  • Know­ledge trans­fer – tail­o­red con­sul­ting, hands-on trai­ning, and the deve­lo­p­ment of in-house experts
  • Con­sul­ting on ana­ly­ti­cal archi­tec­tu­re – buil­ding sca­lable, future-pro­of analytics struc­tures
  • Pro­vi­si­on of analytics plat­forms – powerful, fle­xi­ble, and pro­ven in prac­ti­ce
  • Sup­port with ana­ly­ses and trans­for­ma­ti­on pro­ces­ses – from the first use case to com­pa­ny-wide analytics stra­te­gies

Our con­sul­tants can work embedded within the customer’s teams or sup­port as exter­nal experts as nee­ded. This ensu­res that solu­ti­ons are not only deve­lo­ped but also suc­cessful­ly appli­ed in the long term.

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