s.quality

do you have recur­ring
qual­i­ty issues
in pro­duc­tion?

Do you want to low­er your costs by avoid­ing expen­sive re-pro­duc­tion? Do you want to receive updates on pro­duc­tion qual­i­ty, ide­al­ly dur­ing ongo­ing pro­duc­tion? Do you want to be informed about devi­a­tions from the stan­dard process in time to be able to take mea­sures as quick­ly as pos­si­ble?
Then you need an intel­li­gent mon­i­tor­ing solu­tion which can do all of this. You need s.quality!

LEARN MORE
Graph
The chal­lenge

PRODUCT QUALITY ASSESSMENT
DURING PRODUCTION

Die steigen­den Pro­dukt- und Prozes­san­forderun­gen set­zen hohe Maßstäbe an die Pro­duk­tion­squal­ität und damit auch an den gesamten Pro­duk­tion­sprozess. Daher ist es wichtig, Pro­duk­tion­sprozesse trans­par­ent zu machen, um Prozess­ab­we­ichun­gen mit Hil­fe Kün­stlich­er Intel­li­genz schnell­st­möglich zu erken­nen und zu beheben.

Braunes und grünes Blatt mit neuronalem Netzwerk.

our software solution: s.quality

Even the small­est devi­a­tions of indi­vid­ual process para­me­ters can have a mas­sive impact on prod­uct qual­i­ty. Recalled prod­ucts and large quan­ti­ties of rejects are often the result — a cost­ly and time-con­sum­ing affair for any com­pa­ny.

 

Our inno­v­a­tive soft­ware s.quality process­es your data already dur­ing ongo­ing pro­duc­tion and eval­u­ates it using arti­fi­cial intel­li­gence.

 

The dig­i­tal solu­tion helps you mon­i­tor the mea­sured val­ues and process para­me­ters of your plant to ensure that your end prod­uct meets the required qual­i­ty stan­dards.

 

s.quality per­ma­nent­ly mon­i­tors your recur­ring process­es and mea­sure­ment oper­a­tions, detect­ing any faults or devi­a­tions from the stan­dard process at an ear­ly stage. An extreme­ly high data res­o­lu­tion of up to 1 MHz can be processed. With our soft­ware solu­tion, our cus­tomers are opti­mal­ly equipped for qual­i­ty assur­ance and mon­i­tor­ing in all process and pro­duc­tion stages.

 

By using s.quality, you can boost your pro­duc­tion per­for­mance while reduc­ing the fail­ure rate in order to assure high­est pro­duc­tion qual­i­ty. Our soft­ware solu­tion helps you com­plete your tasks even more effi­cient­ly and pre­cise­ly, and iden­ti­fy and cor­rect faults in time.

Monitor im Wald mit Diagramm
s.core

The algorithm library of s.quality

s.quality uses arti­fi­cial intel­li­gence (AI) to iden­ti­fy devi­a­tions in the pro­duc­tion process. A mod­el is trained with his­tor­i­cal data to detect any abnor­mal behav­iour in new data sets. Self-learn­ing sta­tis­ti­cal meth­ods are used to iden­ti­fy a stan­dard struc­ture for each test chan­nel. If the pro­file of a mea­sured val­ue devi­ates sig­nif­i­cant­ly from the dynam­ic tol­er­ance thresh­old defined by the user, the anom­alies are doc­u­ment­ed as errors and analysed.

 

Only very few set­tings are required to obtain a clear and instant overview of all mea­sured val­ues and any faulty prod­ucts, com­po­nents or process­es. Machine learn­ing makes it pos­si­ble to adapt this pro­ce­dure to defined stan­dard process­es. s.quality can also be inte­grat­ed into the man­u­fac­tur­ing process and auto­mat­i­cal­ly com­mu­ni­cate the con­di­tion of the inspect­ed prod­uct or mon­i­tored process to the machine con­trol.

At a glance

THE BENEFITS OF s.quality

1 Con­tin­u­ous back­ground mon­i­tor­ing of crit­i­cal process vari­ables
2 Clas­si­fi­ca­tion of anom­alies through self-learn­ing mon­i­tor­ing algo­rithms
3 Root cause analy­sis of changes in pro­duc­tion qual­i­ty
4 Can be used in all process and pro­duc­tion stages
5 Unsu­per­vised and super­vised learn­ing
6 Dynam­ic thresh­old for con­tin­u­ous process and prod­uct qual­i­ty assess­ment
7 Process eval­u­a­tion pos­si­ble dur­ing live oper­a­tion or offline
Your con­tact to ifm stat­math
DO YOU HAVE QUESTIONS?
Do you have ques­tions about our prod­ucts? Con­tact us to book an appoint­ment. Our team will be hap­py to advise you per­son­al­ly or via email.
49 (0)271 – 319 28 00 1 statmath@ifm.com
statmath Mitarbeiter Louis
How it works

s.quality IN A NUTSHELL

DATA:



  • High-res­o­lu­tion process val­ues of indi­vid­ual pro­duc­tion steps
  • Dis­crete pro­duc­tion mon­i­tor­ing (prod­uct ID)
  • No pre-clas­si­fi­ca­tion of prod­uct qual­i­ty nec­es­sary

OUR SOLUTION FOR ASSESSING MANUFACTURING QUALITY DURING PRODUCTION:

  • Iden­ti­fi­ca­tion of devi­a­tions in prod­uct qual­i­ty
  • Ful­ly auto­mat­ed clas­si­fi­ca­tion of qual­i­ty lev­els (OK / not OK) 
  • Under­stand­ing indi­vid­ual dif­fer­ences in qual­i­ty
  •  

RESULT:



  • Stand-alone / On-premise solu­tion
  • Full solu­tion · live assess­ment and report­ing
  •  
Chef Spurensucher Christian Friedrich
“s.quality assess­es the qual­i­ty of your prod­ucts already dur­ing ongo­ing pro­duc­tion.”
stat­math Man­ag­ing Direc­tor
M.Sc./MBA Chris­t­ian Friedrich
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