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Beratung zu Yield und Datenanalyse

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con­sul­ting for yield and data analytics

con­va­nit-data-ana­ly­tics-yield-enhan­ce­ment

con­sul­ting for yield and data analytics

Exper­ti­se

Who we are

As a tech­ni­cal con­sul­ting team, we deve­lop con­cepts and methods for yield- and relia­bi­li­ty impro­ve­ment of the client’s pro­ducts and sup­port the imple­men­ta­ti­on to ensu­re tar­gets are achie­ved quick­ly and effectively.

con­va­nit-exper­ti­sen

Data and method-based pro­duc­tion optimization

What we do

Data are often the key for pro­blem state­ments. There­fore we con­si­der the opti­mal use of all data gene­ra­ted in pro­duc­tion as our task. The time­ly and app­li­ca­ti­on spe­ci­fic allo­ca­ti­on of the data to ope­ra­tors, engi­neers, deve­lo­pers and mana­gers is important. This enab­les the cli­ent to react quick­ly to chan­ges and work proactively.

Voice of the customer

Refe­ren­ces

RF360 Euro­pe GmbH, Thors­ten Heuser

We got to know Con­va­nit as a com­pe­tent coun­ter­part in the area of defect engi­nee­ring. The ela­bo­ra­ted pro­po­sals and road­maps sup­port us in our fur­ther deve­lo­p­ment in that area. The col­la­bo­ra­ti­on is very pro­fes­sio­nal and trust­ful and we are loo­king for­ward to our next pro­ject together.

DuPont, Dan Mattson

Con­va­nit col­la­bo­ra­ted to crea­te and imple­ment best-fit solu­ti­ons to chal­len­ges in our pro­cess and orga­niz­a­ti­on.  Their exper­ti­se ran­ging from proac­ti­ve and pre­dic­ti­ve mea­su­res to advan­ced ana­ly­ti­cal and con­ti­nuous impro­ve­ment methods stem­ming from a rich back­ground and as prac­ti­tio­ners of emer­ging approa­ches equips them with a broad ran­ge of capa­bi­li­ties and potential.

Com­pe­ten­ci­es

Yield / Quality

  • Yield and Relia­bi­li­ty improvement
  • Defect Engi­nee­ring
  • Pro­cess con­trol methodology
  • Tool­mo­ni­to­ring
  • Cri­ti­cal Pro­cess parameter
  • Pro­cess Integration

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Data Ana­ly­tics

  • Yield cor­re­la­ti­on and pre­dic­tion, other methods
  • Cor­re­la­ti­on analysis
  • Signa­tu­re- und image analysis
  • Machi­ne Lear­ning / Arti­fi­cal Intelligence
  • Data ana­ly­sis and repor­ting application

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Data Inte­gra­ti­on

  • Data pre­pa­ra­ti­on (ETL/ELT)
  • Data und sys­tem architecture
  • DWH Inte­gra­ti­on
  • Big Data Inte­gra­ti­on (On-Pre­mi­se, Cloud)
  • BI Inte­gra­ti­on
  • Data rela­ti­ons and data models

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Yield/Quality Data Analytics Data Integration Organization Development Implementation Consulting

Con­sul­ting

  • Work­shops
  • Coa­ching
  • Mode­ra­ti­on
  • Poten­ti­al Analysis
  • Con­cept development
  • Sys­temic Consulting
  • Risk assess­ment (FMEA)
  • Requi­re­ment analysis
  • Pro­ject management

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Imple­men­ta­ti­on

  • Con­va­nit Ana­ly­tics Lab
  • Fea­si­bi­li­ty (POC)
  • Work­flow Design
  • Method- and tool selection
  • Pro­to­typ­ing
  • cos­tu­mer spe­ci­fic solutions
  • Imple­men­ta­ti­on & Deploy­ment Support
  • Coope­ra­ti­on with soft­ware partner
  • Imple­men­ta­ti­on of new methods

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Orga­niz­a­ti­on Development

  • Stra­te­gy and Vision
  • Orga­niz­a­tio­nal culture
  • Per­so­nas and interfaces
  • Team deve­lo­p­ment
  • Pro­fes­sio­nal development
  • Sus­tainab­le change
  • Manage­ment consulting
  • Media­ti­on

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Cen­tral part of each of our impro­ve­ment pro­jects is enab­ling you to set up a sus­tainab­le organization.

What we do

How we do it

Typi­cal projects

In each pro­ject we focus on sup­port for self help and estab­li­shing a sus­tainab­le set up in your organization.

Poten­ti­al Ana­ly­sis and Risk Assessment
Solu­ti­on of an actu­al Yield problem 
Impro­ve­ment of Defect Engi­nee­ring Methods
Meta Data Manage­ment & Traceability
Pro­to­typ­ing and Inte­gra­ti­on of Real­time and Off­line Data Ana­ly­sis Use Cases
App­li­ca­ti­ons for Machi­ne Lear­ning and Arti­fi­cal Intelligence
Orga­niz­a­tio­nal Deve­lo­p­ment / Pro­ject Support
Ana­ly­sis and Digi­ta­liz­a­ti­on of Pro­duc­tion rela­ted Busi­ness Processes

We help you to under­stand your data.

We help you to ful­fill your goals in quality/yield/process stability.

We help you to enab­le your orga­niz­a­ti­on to use new metho­do­lo­gy and soft­ware solu­ti­ons effectively.

Pro­cess

We help you to under­stand your data.

We take your data, put it tog­e­ther to find cor­re­la­ti­ons and answers.

Agi­le dis­co­very of hid­den Insights

Few days (Full For­ce approach)
15% / 100 %

The rela­ti­on model of your data is key for understanding.

Data Mode­ling Standardization

Few weeks (con­cept pha­se)
50% / 100 %
Some mon­ths (imple­men­ta­ti­on)
100% / 100 %

With a pro­to­ty­pe ear­ly results on most important use cases give fast insights.

Solu­ti­on Prototyping
& implementation

Few weeks (pro­to­typ­ing)
50% / 100 %
Some mon­ths (imple­men­ta­ti­on)
100% / 100 %

Metho­do­lo­gy

We help you to ful­fill your goals in quality/yield/process stability.

con­va­nit-metho­do­lo­gy
con­va­nit-metho­do­lo­gy-mobi­le

We help you to ful­fill your goals in quality/yield/process stability.

con­va­nit-orga­niz­a­tio­nal-mind­set-involvment
startseite5

Team

Part­ner

kris­tin-novot­ny-con­va­nit
micha­el-mei­nel-con­va­nit
ines-thur­ner-con­va­nit
tho­mas-engel­brecht
UweSchmidt_headshot sw
ste­fan-ull­rich-con­va­nit
frank-andrac­zek-con­va­nit
paul-young-con­va­nit

Ines Thur­ner

Dipl. Phys.
Yield Manage­ment & Pro­ject Coach
Gene­ral Manager

Working for more than 25 years in the semi­con­duc­tor indus­try Ines gai­ned a tre­men­dous know­ledge in Yield Manage­ment, Defect Engi­nee­ring and pro­cess con­trol metho­do­lo­gy. She focu­ses stron­gly on the imple­men­ta­ti­on of new tech­ni­cal methods, chan­ge manage­ment and team deve­lo­p­ment. With her addi­tio­nal qua­li­fi­ca­ti­on ‘Sys­temic coach in pro­jects’ she gui­des our cus­to­mer pro­jects also in the scope of pro­ject manage­ment, orga­niz­a­ti­on deve­lo­p­ment and cul­tu­ral aspects with gre­at passion.

Micha­el Meinel

Dipl. Ing.
Data Ana­ly­tics & Yield Management
Gene­ral Manager

Micha­el is spe­cia­li­zed in imple­men­ting methods and tools for pro­cess con­trol and data engi­nee­ring in the high-tech manu­fac­tu­ring envi­ron­ment. Star­ting from the con­cre­te user requi­re­ments to enhan­ce data dri­ven pro­duc­tion opti­miz­a­ti­on he gui­des pro­jects through the pro­to­typ­ing, imple­men­ta­ti­on and deploy­ment phase.

With 20 years of expe­ri­ence in the indus­try he sup­ports our cli­ents on an inter­na­tio­nal level.

Tho­mas Engelbrecht

Seni­or Sys­tem Archi­tect & Developer

Tho­mas is our expert for the inte­gra­ted flow of data from the machi­ne to the data con­su­mer app­li­ca­ti­on. In our cus­to­mer pro­jects he focu­ses on the pro­per sys­tem archi­tec­tu­re, data sto­rage and per­for­mance and is also the tech­ni­cal lead of our ‘con­va­nit Ana­ly­tic Lab’.
By con­so­li­da­ting, aggre­ga­ting and model­ling data com­ing from various sources he crea­tes the basis on which our Data and Yield Experts build their ana­ly­sis on. 

Ste­fan Ulrich

Dr. rer. nat.
Data Manage­ment & Programming
Pro­ject Partner

Ste­fan is our expert for the inte­gra­ted flow of data from the machi­ne to the data con­su­mer app­li­ca­ti­on. He takes care of the pro­gramming and imple­men­ta­ti­on of necessa­ry inter­faces, care­ful­ly matching tho­se to the uni­que pro­duc­tion envi­ron­ments of our cli­ents. By con­so­li­da­ting, aggre­ga­ting and deli­vering data com­ing from various sources he crea­tes the basis for our Data and Yield Experts to build their ana­ly­sis on. 

Kris­tin Novotny

Dr. Ing.
Data Ana­ly­tics & Programming

Kris­tins work bas­ket is data. With her rich skill­set of data ana­ly­tics methods she pas­sio­na­te­ly and per­sist­ent­ly retrie­ves hid­den infor­ma­ti­on from our cus­to­mers data. During her long stan­ding aca­de­mic care­er she was inten­si­ve­ly enga­ged in sta­tis­ti­cal data ana­ly­sis in several pro­jects. Ano­t­her favo­ri­te sub­ject of her is to pre­sent her results and to trans­fer her know­ledge to others.
From the clas­si­cal sta­tis­ti­cal approach until machi­ne lear­ning and arti­fi­cial intel­li­gence app­li­ca­ti­ons she deve­lo­ps tog­e­ther with our cli­ents the appro­pria­te stra­te­gy and solu­ti­on approach and builds pro­to­ty­pes for data ana­ly­tic applications.

Frank Andrac­zek

Dipl. Ma./Phys.
Yield Engineering
Pro­ject Partner

Frank has more than 25 years of expe­ri­ence in semi­con­duc­tor manu­fac­tu­ring. He is spe­cia­li­zed in defect engi­nee­ring and sta­tis­ti­cal data ana­ly­sis to sup­port yield enhan­ce­ment and qua­li­ty impro­ve­ments. His tre­men­dous know­ledge in ana­ly­ti­cal methods and pro­found tech­no­lo­gi­cal expe­ri­ence in the semi­con­duc­tor manu­fac­tu­ring is of gre­at value to our clients.

Uwe Schmidt

Dr. Ing.
Expert for Machi­ne Learning
Pro­ject Partner

Uwe has over 10 years of expe­ri­ence in using machi­ne lear­ning for image pro­ces­sing and ana­ly­sis. While he focu­sed on deve­lo­ping new tech­ni­cal methods during his aca­de­mic care­er, he late­ly enjoys crea­ting prac­ti­cal solu­ti­ons to real-world problems.

Work Groups

Lea­der of Work Group “Yield and Relia­bi­li­ty” in the Sili­con Sax­o­ny e.V.

Lea­der of the User Group “Yield Enhan­ce­ment” (Fach­grup­pe (1.1.3) at the GMM (a VDI/VDE society)

Lea­der of the User Group “Data Inte­gra­ti­on and Ana­ly­tics for Manu­fac­tu­ring” & (Fach­grup­pe 1.1.6) at the GMM (eine VDI/VDE Fachgesellschaft)

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