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Application of knowledge transfer to ML-based quality decision support practice in the steel manufacturing process
Author
Szelazek Maciej
Bobek Szymon
Nalepa Grzegorz
Editor
Book title / Journal title
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, CHItaly 2023, 20-22 September 2023, Torino, Italy
Place of publication: Publisher
New York : The Association for Computing Machinery
Pages
[1-2]
ISBN
979-8-4007-0806-0
Keywords in English
knowledge transfer
machine learning
smart manufacturing
decision support
explainability
Notes
Poster pokonferencyjny. Article ID: 50
Language
English
Book language / Journal language
English
Abstract in English
The aim of our research is the enhancement of decision support methods grounded in statistical quality control. In our study we combine machine learning classifiers, and explanatory algorithms (XAI) with the Six Sigma practice to automate the evaluation of quality of steel products and determine origins of their defects. We use knowledge transfer to expand the available set of quality information in order to create explanations that are easier to interpret, especially without detailed knowledge of the data. We describe our original method, and provide evaluation of the results with real–life data from our industrial partner.
Affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
| cris.lastimport.wos | 2024-04-09T22:34:21Z | |
| dc.abstract.en | The aim of our research is the enhancement of decision support methods grounded in statistical quality control. In our study we combine machine learning classifiers, and explanatory algorithms (XAI) with the Six Sigma practice to automate the evaluation of quality of steel products and determine origins of their defects. We use knowledge transfer to expand the available set of quality information in order to create explanations that are easier to interpret, especially without detailed knowledge of the data. We describe our original method, and provide evaluation of the results with real–life data from our industrial partner. | pl |
| dc.affiliation | Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej | pl |
| dc.contributor.author | Szelazek, Maciej | pl |
| dc.contributor.author | Bobek, Szymon - 428058 | pl |
| dc.contributor.author | Nalepa, Grzegorz - 200414 | pl |
| dc.contributor.editor | Gena, Cristina | pl |
| dc.contributor.editor | de Russis, Luigi | pl |
| dc.contributor.editor | Spano, Davide | pl |
| dc.contributor.editor | Lanzilotti, Rosa | pl |
| dc.contributor.editor | di Mascio, Tania | pl |
| dc.contributor.editor | Prandi, Catia | pl |
| dc.contributor.editor | Andolina, Salvatore | pl |
| dc.date.accessioned | 2023-10-10T12:13:28Z | |
| dc.date.available | 2023-10-10T12:13:28Z | |
| dc.date.issued | 2023 | pl |
| dc.description.additional | Poster pokonferencyjny. Article ID: 50 | pl |
| dc.description.physical | [1-2] | pl |
| dc.description.sponsorshipsource | Narodowe Centrum Nauki | pl |
| dc.identifier.doi | 10.1145/3605390.3610834 | pl |
| dc.identifier.isbn | 979-8-4007-0806-0 | pl |
| dc.identifier.project | 2020/02/Y/ST6/00070 | pl |
| dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/320841 | |
| dc.language | eng | pl |
| dc.language.container | eng | pl |
| dc.pubinfo | New York : The Association for Computing Machinery | pl |
| dc.rights | Dodaję tylko opis bibliograficzny | * |
| dc.rights.licence | Bez licencji otwartego dostępu | |
| dc.rights.uri | * | |
| dc.sourceinfo | liczba autorów 216; liczba stron 416; liczba arkuszy wydawniczych 34,6; | pl |
| dc.subject.en | knowledge transfer | pl |
| dc.subject.en | machine learning | pl |
| dc.subject.en | smart manufacturing | pl |
| dc.subject.en | decision support | pl |
| dc.subject.en | explainability | pl |
| dc.subtype | OtherDocuments | pl |
| dc.title | Application of knowledge transfer to ML-based quality decision support practice in the steel manufacturing process | pl |
| dc.title.container | Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, CHItaly 2023, 20-22 September 2023, Torino, Italy | pl |
| dc.type | BookSection | pl |
| dspace.entity.type | Publication |
cris.lastimport.wos
2024-04-09T22:34:21Z dc.abstract.enpl
The aim of our research is the enhancement of decision support methods grounded in statistical quality control. In our study we combine machine learning classifiers, and explanatory algorithms (XAI) with the Six Sigma practice to automate the evaluation of quality of steel products and determine origins of their defects. We use knowledge transfer to expand the available set of quality information in order to create explanations that are easier to interpret, especially without detailed knowledge of the data. We describe our original method, and provide evaluation of the results with real–life data from our industrial partner. dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej dc.contributor.authorpl
Szelazek, Maciej dc.contributor.authorpl
Bobek, Szymon - 428058 dc.contributor.authorpl
Nalepa, Grzegorz - 200414 dc.contributor.editorpl
Gena, Cristina dc.contributor.editorpl
de Russis, Luigi dc.contributor.editorpl
Spano, Davide dc.contributor.editorpl
Lanzilotti, Rosa dc.contributor.editorpl
di Mascio, Tania dc.contributor.editorpl
Prandi, Catia dc.contributor.editorpl
Andolina, Salvatore dc.date.accessioned
2023-10-10T12:13:28Z dc.date.available
2023-10-10T12:13:28Z dc.date.issuedpl
2023 dc.description.additionalpl
Poster pokonferencyjny. Article ID: 50 dc.description.physicalpl
[1-2] dc.description.sponsorshipsourcepl
Narodowe Centrum Nauki dc.identifier.doipl
10.1145/3605390.3610834 dc.identifier.isbnpl
979-8-4007-0806-0 dc.identifier.projectpl
2020/02/Y/ST6/00070 dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/320841 dc.languagepl
eng dc.language.containerpl
eng dc.pubinfopl
New York : The Association for Computing Machinery dc.rights*
Dodaję tylko opis bibliograficzny dc.rights.licence
Bez licencji otwartego dostępu dc.rights.uri*
dc.sourceinfopl
liczba autorów 216; liczba stron 416; liczba arkuszy wydawniczych 34,6; dc.subject.enpl
knowledge transfer dc.subject.enpl
machine learning dc.subject.enpl
smart manufacturing dc.subject.enpl
decision support dc.subject.enpl
explainability dc.subtypepl
OtherDocuments dc.titlepl
Application of knowledge transfer to ML-based quality decision support practice in the steel manufacturing process dc.title.containerpl
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, CHItaly 2023, 20-22 September 2023, Torino, Italy dc.typepl
BookSection dspace.entity.type
Publication Affiliations
Wydział Fizyki, Astronomii i Informatyki Stosowanej
Bobek, Szymon
Nalepa, Grzegorz
No affiliation
Szelazek, Maciej
Gena, Cristina
de Russis, Luigi
Spano, Davide
Lanzilotti, Rosa
di Mascio, Tania
Prandi, Catia
Andolina, Salvatore
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