Poster: Application of knowledge transfer to ML–based Quality Decision Support practice in the steel manufacturing process.
Article No.: 50, Pages 1 - 2
Editorial Notes
The authors have requested minor, non-substantive changes to the Version of Record and, in accordance with ACM policies, a Corrected Version of Record was published on November 9, 2023. For reference purposes, the VoR may still be accessed via the Supplemental Material section on this page.
Abstract
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.
Supplementary Material
Version of Record for "Poster: Application of knowledge transfer to ML?based Quality Decision Support practice in the steel manufacturing process." by Szelazek et al., Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly '23). (3610834-vor.pdf)
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References
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- Poster: Application of knowledge transfer to ML–based Quality Decision Support practice in the steel manufacturing process.
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Published In
September 2023
416 pages
ISBN:9798400708060
DOI:10.1145/3605390
Copyright © 2023 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 20 September 2023
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CHItaly 2023
CHItaly 2023: 15th Biannual Conference of the Italian SIGCHI Chapter
September 20 - 22, 2023
Torino, Italy
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Overall Acceptance Rate 109 of 242 submissions, 45%
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