Introduction to the special section on AI in manufacturing : current trends and challenges

On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took place at ECML-PKDD, the European Conference on Machine Learning and Principles and Practice for Knowledge Discovery in Databases. The workshop brought together researchers and practitioners, from academia and indus...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Lijffijt, Jefrey, Gkorou, Dimitra, Van Hertum, Pieter, Ypma, Alexander, Pechenizkiy, Mykola, Vanschoren, Joaquin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Lijffijt, Jefrey
Gkorou, Dimitra
Van Hertum, Pieter
Ypma, Alexander
Pechenizkiy, Mykola
Vanschoren, Joaquin
description On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took place at ECML-PKDD, the European Conference on Machine Learning and Principles and Practice for Knowledge Discovery in Databases. The workshop brought together researchers and practitioners, from academia and industry, contributing their perspectives. This special section includes five articles in which Artificial Intelligence methods are used to address real problems in the manufacturing industry, ranging from the supply chain, to production, to quality insurance, and predictive maintenance. In this introduction, we present a high-level overview of the current state of the area: observed trends and the main open challenges. This overview is based on these papers, the keynote presentation, the panel discussion, and the discussion that emerged during the workshop.
format Article
fullrecord <record><control><sourceid>ghent</sourceid><recordid>TN_cdi_ghent_librecat_oai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q</sourcerecordid><originalsourceid>FETCH-ghent_librecat_oai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q3</originalsourceid><addsrcrecordid>eNqtjN1qwkAUhPfCQtPqO5wXCOw2Kmnv0pi2ERQFb8zNctwck5V1U_anz9-U-gjCMAPfMDNhiXjNRMrFfPHInry_cP6Si2WWsKa2wQ1tVEEPFsIAoSfw36Q0GvD0j0cVNWgLV7TxjCpEp20Hb6Cic2QDhNFbD2hbUD0aQ7YjP2UPZzSeZrd8ZtVHdSi_0q4fN9LokyOFQQ6oJTrV6x-SsfurTiS5-Ny882y3O67LZl5s9_nquCmaMt9n9_r5BRtRWjE</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Introduction to the special section on AI in manufacturing : current trends and challenges</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Ghent University Academic Bibliography</source><source>ACM Digital Library Complete</source><creator>Lijffijt, Jefrey ; Gkorou, Dimitra ; Van Hertum, Pieter ; Ypma, Alexander ; Pechenizkiy, Mykola ; Vanschoren, Joaquin</creator><creatorcontrib>Lijffijt, Jefrey ; Gkorou, Dimitra ; Van Hertum, Pieter ; Ypma, Alexander ; Pechenizkiy, Mykola ; Vanschoren, Joaquin</creatorcontrib><description>On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took place at ECML-PKDD, the European Conference on Machine Learning and Principles and Practice for Knowledge Discovery in Databases. The workshop brought together researchers and practitioners, from academia and industry, contributing their perspectives. This special section includes five articles in which Artificial Intelligence methods are used to address real problems in the manufacturing industry, ranging from the supply chain, to production, to quality insurance, and predictive maintenance. In this introduction, we present a high-level overview of the current state of the area: observed trends and the main open challenges. This overview is based on these papers, the keynote presentation, the panel discussion, and the discussion that emerged during the workshop.</description><identifier>ISSN: 1931-0145</identifier><identifier>ISSN: 1931-0153</identifier><language>eng</language><subject>Data Science ; Knowledge Discovery ; Machine Learning ; Manufacturing ; Technology and Engineering</subject><creationdate>2022</creationdate><rights>No license (in copyright) info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,780,784,4022,27859</link.rule.ids></links><search><creatorcontrib>Lijffijt, Jefrey</creatorcontrib><creatorcontrib>Gkorou, Dimitra</creatorcontrib><creatorcontrib>Van Hertum, Pieter</creatorcontrib><creatorcontrib>Ypma, Alexander</creatorcontrib><creatorcontrib>Pechenizkiy, Mykola</creatorcontrib><creatorcontrib>Vanschoren, Joaquin</creatorcontrib><title>Introduction to the special section on AI in manufacturing : current trends and challenges</title><description>On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took place at ECML-PKDD, the European Conference on Machine Learning and Principles and Practice for Knowledge Discovery in Databases. The workshop brought together researchers and practitioners, from academia and industry, contributing their perspectives. This special section includes five articles in which Artificial Intelligence methods are used to address real problems in the manufacturing industry, ranging from the supply chain, to production, to quality insurance, and predictive maintenance. In this introduction, we present a high-level overview of the current state of the area: observed trends and the main open challenges. This overview is based on these papers, the keynote presentation, the panel discussion, and the discussion that emerged during the workshop.</description><subject>Data Science</subject><subject>Knowledge Discovery</subject><subject>Machine Learning</subject><subject>Manufacturing</subject><subject>Technology and Engineering</subject><issn>1931-0145</issn><issn>1931-0153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqtjN1qwkAUhPfCQtPqO5wXCOw2Kmnv0pi2ERQFb8zNctwck5V1U_anz9-U-gjCMAPfMDNhiXjNRMrFfPHInry_cP6Si2WWsKa2wQ1tVEEPFsIAoSfw36Q0GvD0j0cVNWgLV7TxjCpEp20Hb6Cic2QDhNFbD2hbUD0aQ7YjP2UPZzSeZrd8ZtVHdSi_0q4fN9LokyOFQQ6oJTrV6x-SsfurTiS5-Ny882y3O67LZl5s9_nquCmaMt9n9_r5BRtRWjE</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Lijffijt, Jefrey</creator><creator>Gkorou, Dimitra</creator><creator>Van Hertum, Pieter</creator><creator>Ypma, Alexander</creator><creator>Pechenizkiy, Mykola</creator><creator>Vanschoren, Joaquin</creator><scope>ADGLB</scope></search><sort><creationdate>2022</creationdate><title>Introduction to the special section on AI in manufacturing : current trends and challenges</title><author>Lijffijt, Jefrey ; Gkorou, Dimitra ; Van Hertum, Pieter ; Ypma, Alexander ; Pechenizkiy, Mykola ; Vanschoren, Joaquin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Data Science</topic><topic>Knowledge Discovery</topic><topic>Machine Learning</topic><topic>Manufacturing</topic><topic>Technology and Engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Lijffijt, Jefrey</creatorcontrib><creatorcontrib>Gkorou, Dimitra</creatorcontrib><creatorcontrib>Van Hertum, Pieter</creatorcontrib><creatorcontrib>Ypma, Alexander</creatorcontrib><creatorcontrib>Pechenizkiy, Mykola</creatorcontrib><creatorcontrib>Vanschoren, Joaquin</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lijffijt, Jefrey</au><au>Gkorou, Dimitra</au><au>Van Hertum, Pieter</au><au>Ypma, Alexander</au><au>Pechenizkiy, Mykola</au><au>Vanschoren, Joaquin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Introduction to the special section on AI in manufacturing : current trends and challenges</atitle><date>2022</date><risdate>2022</risdate><issn>1931-0145</issn><issn>1931-0153</issn><abstract>On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took place at ECML-PKDD, the European Conference on Machine Learning and Principles and Practice for Knowledge Discovery in Databases. The workshop brought together researchers and practitioners, from academia and industry, contributing their perspectives. This special section includes five articles in which Artificial Intelligence methods are used to address real problems in the manufacturing industry, ranging from the supply chain, to production, to quality insurance, and predictive maintenance. In this introduction, we present a high-level overview of the current state of the area: observed trends and the main open challenges. This overview is based on these papers, the keynote presentation, the panel discussion, and the discussion that emerged during the workshop.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1931-0145
ispartof
issn 1931-0145
1931-0153
language eng
recordid cdi_ghent_librecat_oai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Ghent University Academic Bibliography; ACM Digital Library Complete
subjects Data Science
Knowledge Discovery
Machine Learning
Manufacturing
Technology and Engineering
title Introduction to the special section on AI in manufacturing : current trends and challenges
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T23%3A03%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ghent&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Introduction%20to%20the%20special%20section%20on%20AI%20in%20manufacturing%20:%20current%20trends%20and%20challenges&rft.au=Lijffijt,%20Jefrey&rft.date=2022&rft.issn=1931-0145&rft_id=info:doi/&rft_dat=%3Cghent%3Eoai_archive_ugent_be_01GMB03PPYJCZ4ANQ8DYMAZC8Q%3C/ghent%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true