{"id":"https://openalex.org/W4405306083","doi":"https://doi.org/10.1109/indin58382.2024.10774364","title":"Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems","display_name":"Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405306083","doi":"https://doi.org/10.1109/indin58382.2024.10774364"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072506692","display_name":"Alexander Windmann","orcid":"https://orcid.org/0000-0002-6522-4262"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Windmann","raw_affiliation_strings":["Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029810000","display_name":"Philipp Wittenberg","orcid":"https://orcid.org/0000-0001-7151-8243"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Wittenberg","raw_affiliation_strings":["Helmut Schmidt University,Department of Mathematics and Statistics,Hamburg,Germany"],"affiliations":[{"raw_affiliation_string":"Helmut Schmidt University,Department of Mathematics and Statistics,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098954214","display_name":"Marvin Schieseck","orcid":"https://orcid.org/0009-0000-7941-5900"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marvin Schieseck","raw_affiliation_strings":["Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012395966","display_name":"Oliver Niggemann","orcid":"https://orcid.org/0000-0001-8747-3596"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Niggemann","raw_affiliation_strings":["Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence Helmut Schmidt University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072506692"],"corresponding_institution_ids":["https://openalex.org/I190134885"],"apc_list":null,"apc_paid":null,"fwci":8.7303,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98118849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8909000158309937,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8909000158309937,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5028871893882751},{"id":"https://openalex.org/keywords/industry-4.0","display_name":"Industry 4.0","score":0.4494372308254242},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.36955058574676514},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35990267992019653},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.33788764476776123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3237192928791046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3190174102783203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09778636693954468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5028871893882751},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.4494372308254242},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.36955058574676514},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35990267992019653},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.33788764476776123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3237192928791046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3190174102783203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09778636693954468}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1971319471","https://openalex.org/W2001230460","https://openalex.org/W2096765395","https://openalex.org/W2169239645","https://openalex.org/W2241928397","https://openalex.org/W2464234006","https://openalex.org/W2772091547","https://openalex.org/W2811266402","https://openalex.org/W2890793284","https://openalex.org/W2897042519","https://openalex.org/W2922234936","https://openalex.org/W2944264045","https://openalex.org/W2955611545","https://openalex.org/W2962752734","https://openalex.org/W2964759459","https://openalex.org/W2966284335","https://openalex.org/W2974071289","https://openalex.org/W2995895679","https://openalex.org/W3019130148","https://openalex.org/W3037376259","https://openalex.org/W3043941844","https://openalex.org/W3086809868","https://openalex.org/W3098476760","https://openalex.org/W3104128335","https://openalex.org/W3111221273","https://openalex.org/W3119593986","https://openalex.org/W3123920941","https://openalex.org/W3128172745","https://openalex.org/W3133743901","https://openalex.org/W3156335941","https://openalex.org/W3158459113","https://openalex.org/W3165722314","https://openalex.org/W3177828909","https://openalex.org/W3202461888","https://openalex.org/W3209651137","https://openalex.org/W3212368439","https://openalex.org/W4205745492","https://openalex.org/W4210725851","https://openalex.org/W4285182702","https://openalex.org/W4287391859","https://openalex.org/W4288059912","https://openalex.org/W4292266691","https://openalex.org/W4296485209","https://openalex.org/W4312305012","https://openalex.org/W4313479509","https://openalex.org/W4318829204","https://openalex.org/W4319028144","https://openalex.org/W4321462155","https://openalex.org/W4386071842","https://openalex.org/W4387262152","https://openalex.org/W4387527822","https://openalex.org/W4388001890","https://openalex.org/W4396729223","https://openalex.org/W4396783551","https://openalex.org/W4403296763","https://openalex.org/W6687241523","https://openalex.org/W6739901393","https://openalex.org/W6784333009","https://openalex.org/W6838613104","https://openalex.org/W6853136761"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W4387849428","https://openalex.org/W2965396565"],"abstract_inverted_index":{"In":[0],"Industry":[1],"4.0,":[2],"Cyber-Physical":[3],"Systems":[4],"(CPS)":[5],"generate":[6],"vast":[7],"data":[8],"sets":[9],"that":[10,74,105],"can":[11],"be":[12,83],"leveraged":[13],"by":[14,86],"Artificial":[15],"Intelligence":[16],"(AI)":[17],"for":[18,77,100,112,123],"applications":[19],"including":[20,48],"predictive":[21],"maintenance":[22],"and":[23,50,62,72,97,122],"pro-duction":[24],"planning.":[25],"However,":[26],"despite":[27],"the":[28,115],"demonstrated":[29],"potential":[30],"of":[31,45,118],"AI,":[32],"its":[33],"widespread":[34],"adoption":[35],"in":[36,120],"sectors":[37],"like":[38],"manufacturing":[39],"remains":[40],"limited.":[41],"Our":[42],"comprehensive":[43],"review":[44],"recent":[46],"literature,":[47],"standards":[49],"reports,":[51],"pinpoints":[52],"key":[53],"challenges:":[54],"system":[55],"integration,":[56],"data-related":[57],"issues,":[58],"managing":[59],"workforce-related":[60],"concerns":[61],"ensuring":[63],"trustworthy":[64],"AI.":[65],"A":[66],"quantitative":[67],"analysis":[68],"highlights":[69],"particular":[70],"challenges":[71,96],"topics":[73],"are":[75],"important":[76],"practitioners":[78,113],"but":[79],"still":[80],"need":[81],"to":[82,94,126],"sufficiently":[84],"investigated":[85],"academics.":[87],"The":[88],"paper":[89],"briefly":[90],"discusses":[91],"existing":[92],"solutions":[93],"these":[95,128],"proposes":[98],"avenues":[99],"future":[101],"research.":[102],"We":[103],"hope":[104],"this":[106],"survey":[107],"serves":[108],"as":[109],"a":[110],"resource":[111],"evaluating":[114],"cost-benefit":[116],"implications":[117],"AI":[119],"CPS":[121],"researchers":[124],"aiming":[125],"address":[127],"urgent":[129],"challenges.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2024-12-13T00:00:00"}