Quality Monitoring in Semiconductor Production using Data Visualization Software

Background and Challenges

Semi­con­duc­tors are essen­ti­al com­pon­ents for a varie­ty of pro­ducts, inclu­ding com­pu­ters, smart­phones, con­su­mer elec­tro­nics, auto­mo­ti­ve elec­tro­nics, and medi­cal devices. The relia­bi­li­ty and per­for­mance of the­se pro­ducts depend great­ly on the qua­li­ty of the semi­con­duc­tors used. The­r­e­fo­re, it is essen­ti­al for com­pa­nies to imple­ment strict qua­li­ty con­trols to ensu­re that their pro­ducts meet high stan­dards.

By sys­te­ma­ti­cal­ly moni­to­ring and con­trol­ling the pro­duc­tion pro­cess and pro­duct qua­li­ty, com­pa­nies can iden­ti­fy poten­ti­al issues ear­ly on and take appro­pria­te mea­su­res to impro­ve the pro­duct out­co­me. This leads to a reduc­tion in defects, scrap cos­ts, and recalls, ther­eby enhan­cing both finan­cial pro­fi­ta­bi­li­ty and cus­to­mer con­fi­dence.

Ano­ther important aspect of qua­li­ty moni­to­ring is com­pli­ance with indus­try-spe­ci­fic stan­dards and regu­la­ti­ons. The semi­con­duc­tor indus­try is sub­ject to strin­gent qua­li­ty stan­dards, such as ISO 9001 cer­ti­fi­ca­ti­on. Com­pli­ance with the­se stan­dards is cru­cial to ensu­re that pro­ducts meet cus­to­mer requi­re­ments and regu­la­to­ry obli­ga­ti­ons. Seam­less and effec­ti­ve qua­li­ty moni­to­ring enables com­pa­nies to ensu­re com­pli­ance with the­se stan­dards and mini­mi­ze poten­ti­al risks.


Software-based Quality Monitoring

Many com­pa­nies with the afo­re­men­tio­ned requi­re­ments employ data visua­liza­ti­on solu­ti­ons, such as Spot­fi­re, for this moni­to­ring. TIBCO Spot­fi­re is one of the most powerful data visua­liza­ti­on and ana­ly­tics plat­forms that assist com­pa­nies in cap­tu­ring, ana­ly­zing, and visua­li­zing data from various sources.

The Spot­fi­re soft­ware enables the inte­gra­ti­on and ana­ly­sis of lar­ge volu­mes of data from various sources, inclu­ding pro­duc­tion data, test data, sen­sor infor­ma­ti­on, and sup­pli­er data. By con­so­li­da­ting this data, com­pa­nies can iden­ti­fy trends, pat­terns, and devia­ti­ons that may indi­ca­te poten­ti­al qua­li­ty issues. With the inte­gra­ted visua­liza­ti­on capa­bi­li­ties, this data can be trans­for­med into meaningful graphs and dash­boards, allo­wing users to intui­tively under­stand the data and make infor­med decis­i­ons.

Simi­lar­ly essen­ti­al for qua­li­ty moni­to­ring are advan­ced ana­ly­ti­cal fea­tures, such as sta­tis­ti­cal ana­ly­sis, data clus­te­ring, and pre­dic­ti­ve models. The­se fea­tures help iden­ti­fy pat­terns and cor­re­la­ti­ons in the data that may indi­ca­te poten­ti­al qua­li­ty issues. By detec­ting devia­ti­ons ear­ly on, proac­ti­ve mea­su­res can be taken to impro­ve pro­duct qua­li­ty and avo­id poten­ti­al qua­li­ty pro­blems.

The afo­re­men­tio­ned qua­li­ty stan­dards and requi­re­ments are not limi­t­ed to the semi­con­duc­tor indus­try but app­ly equal­ly to almost all manu­fac­tu­ring com­pa­nies.

Would you like to learn more about the use of Spot­fi­re for qua­li­ty moni­to­ring?

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Sasha Shiran­gi (Head of Sales)