{"id":"https://openalex.org/W4392982199","doi":"https://doi.org/10.1109/icaiic60209.2024.10463265","title":"Harnessing Generative AI for Manufacturing Innovation: Applications and Opportunities","display_name":"Harnessing Generative AI for Manufacturing Innovation: Applications and Opportunities","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392982199","doi":"https://doi.org/10.1109/icaiic60209.2024.10463265"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"article","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/A5094198894","display_name":"Mofeoluwa Jide-Jegede","orcid":null},"institutions":[{"id":"https://openalex.org/I119443389","display_name":"East Tennessee State University","ror":"https://ror.org/05rfqv493","country_code":"US","type":"education","lineage":["https://openalex.org/I119443389"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mofeoluwa Jide-Jegede","raw_affiliation_strings":["East Tennessee State University,Department of Computer Science,Johnson City,United States","Department of Computer Science, East Tennessee State University, Johnson City, United States"],"affiliations":[{"raw_affiliation_string":"East Tennessee State University,Department of Computer Science,Johnson City,United States","institution_ids":["https://openalex.org/I119443389"]},{"raw_affiliation_string":"Department of Computer Science, East Tennessee State University, Johnson City, United States","institution_ids":["https://openalex.org/I119443389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094198895","display_name":"Tomiwa Omotesho","orcid":null},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomiwa Omotesho","raw_affiliation_strings":["Bowling Green State University,Department of Applied Statistics and Operations Research,Bowling Green,United States","Department of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, United States"],"affiliations":[{"raw_affiliation_string":"Bowling Green State University,Department of Applied Statistics and Operations Research,Bowling Green,United States","institution_ids":["https://openalex.org/I157417397"]},{"raw_affiliation_string":"Department of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, United States","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5094198894"],"corresponding_institution_ids":["https://openalex.org/I119443389"],"apc_list":null,"apc_paid":null,"fwci":3.3237,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92033046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"568","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9075000286102295,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9075000286102295,"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/generative-grammar","display_name":"Generative grammar","score":0.6199765205383301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5506625771522522},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.4127275347709656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.327136754989624},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3267093300819397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28673532605171204}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6199765205383301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506625771522522},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.4127275347709656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.327136754989624},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3267093300819397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28673532605171204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2794230447","https://openalex.org/W4388154006","https://openalex.org/W4388179111","https://openalex.org/W4389428089"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Generative":[0],"Artificial":[1],"Intelligence":[2],"(GenAI)":[3],"is":[4],"revolutionizing":[5],"manufacturing,":[6],"automating":[7],"design,":[8],"predicting":[9],"failures,":[10],"and":[11,23,32,69],"cutting":[12],"costs.":[13],"This":[14],"paper":[15],"explores":[16],"its":[17,27,57,63],"diverse":[18],"applications,":[19],"including":[20],"predictive":[21],"maintenance":[22],"realtime":[24],"monitoring,":[25],"highlighting":[26],"role":[28],"in":[29,34],"enhancing":[30],"productivity":[31],"innovation":[33],"manufacturing":[35,67],"processes.":[36],"Echoing":[37],"this,":[38],"a":[39,50],"2023":[40],"KPMG":[41],"survey":[42],"shows":[43],"77%":[44],"of":[45],"executives":[46],"rate":[47],"GenAI":[48],"as":[49],"pivotal":[51],"technology,":[52],"with":[53],"71":[54],"%":[55],"planning":[56],"adoption":[58],"within":[59],"two":[60],"years,":[61],"underscoring":[62],"potential":[64],"to":[65],"transform":[66],"operations":[68],"strategies":[70],"[1].":[71]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
