{"id":"https://openalex.org/W4404741405","doi":"https://doi.org/10.1109/isncc62547.2024.10758970","title":"Optimisation of Manufacturing Workflow Through Generative Artificial Intelligence","display_name":"Optimisation of Manufacturing Workflow Through Generative Artificial Intelligence","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4404741405","doi":"https://doi.org/10.1109/isncc62547.2024.10758970"},"language":"en","primary_location":{"id":"doi:10.1109/isncc62547.2024.10758970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc62547.2024.10758970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074472612","display_name":"Ndala Yves Mulongo","orcid":null},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Ndala Yves Mulongo","raw_affiliation_strings":["University of Johannesburg,Faculty of Enginnering and The Built Enviroment,South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Faculty of Enginnering and The Built Enviroment,South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074472612"],"corresponding_institution_ids":["https://openalex.org/I24027795"],"apc_list":null,"apc_paid":null,"fwci":1.5353,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84075977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9693999886512756,"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":0.9693999886512756,"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/workflow","display_name":"Workflow","score":0.6339355707168579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6231992840766907},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5950870513916016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5913146734237671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38559606671333313},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.3671727776527405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24786809086799622},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07372823357582092}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6339355707168579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6231992840766907},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5950870513916016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913146734237671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38559606671333313},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.3671727776527405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24786809086799622},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07372823357582092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc62547.2024.10758970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc62547.2024.10758970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2972326188","https://openalex.org/W3166950124","https://openalex.org/W3194250276","https://openalex.org/W4200038602","https://openalex.org/W4362473338","https://openalex.org/W4387163553","https://openalex.org/W4391403992","https://openalex.org/W4400351006","https://openalex.org/W4400351473"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,28,215],"manufacturing":[1,103],"sector":[2],"is":[3,43,120,123,142,234,279],"in":[4,47,88,125,130,270,304],"a":[5,44,89,102,137,168,176,259,289,310],"challenging":[6],"spot.":[7],"Confronted":[8],"with":[9,112],"persistent":[10],"cost":[11],"pressures,":[12],"supply":[13],"chain":[14],"instability,":[15],"and":[16,23,36,49,65,82,114,155,159,210,218,247,254,275,299,327,331],"disruptive":[17],"technologies":[18,295],"like":[19],"as":[20,150,265,322,324],"3D":[21],"printing":[22],"the":[24,117,162,189,206,238,315,325,332],"Internet":[25],"of":[26,191,200,208,220,227,240,292,318,335],"Things.":[27],"industry":[29],"must":[30],"consistently":[31,76],"optimise":[32],"processes,":[33],"enhance":[34,66,252],"efficiency,":[35],"improve":[37],"overall":[38,68],"equipment":[39],"performance.":[40],"Simultaneously,":[41],"there":[42],"significant":[45],"surge":[46],"sustainability":[48],"energy":[50],"transition.":[51],"Manufacturers":[52,71,109],"are":[53,72,110,197,296],"being":[54,297],"urged":[55],"to":[56,75,146,157,183,205,251,287,313],"decrease":[57],"their":[58,67],"carbon":[59],"emissions,":[60],"embrace":[61],"circular":[62],"economy":[63],"principles,":[64],"environmental":[69],"sustainability.":[70],"under":[73],"pressure":[74],"innovate":[77],"while":[78],"still":[79],"assuring":[80],"stability":[81],"safety.":[83],"An":[84],"erroneous":[85,98],"AI":[86,99,257],"forecast":[87,100],"marketing":[90],"campaign":[91],"may":[92,172],"cause":[93],"small":[94],"inconvenience,":[95],"whereas":[96],"an":[97,280],"on":[101],"shopfloor":[104],"can":[105,166,181],"have":[106,135],"catastrophic":[107],"consequences.":[108],"familiar":[111],"technology":[113],"disruption,":[115],"but":[116],"main":[118],"issue":[119],"that":[121,171],"what":[122],"effective":[124],"principle":[126],"often":[127],"proves":[128],"unsuccessful":[129],"practice.":[131],"As":[132],"producers,":[133],"we":[134,165,180,196],"established":[136],"knowledge":[138],"base;":[139],"nevertheless,":[140],"it":[141,151,329],"difficult":[143],"for":[144,237,262,283],"users":[145],"locate":[147],"information":[148],"efficiently":[149],"requires":[152],"extensive":[153],"time":[154],"effort":[156],"search":[158],"navigate":[160],"through":[161],"contents.":[163],"Alternatively,":[164,179],"establish":[167],"data":[169,177,250],"lake":[170],"rapidly":[173],"deteriorate":[174],"into":[175],"swamp.":[178],"continue":[182],"incorporate":[184],"other":[185],"applications,":[186],"so":[187],"perpetuating":[188],"growth":[190],"our":[192,202],"technological":[193],"debt.":[194],"However,":[195],"now":[198],"incapable":[199],"updating":[201],"applications":[203,219],"due":[204],"presence":[207],"intricate":[209],"long-standing":[211],"logic":[212],"within":[213],"them.":[214],"implementation":[216],"requirements":[217],"generative":[221],"artificial":[222,231],"intelligence":[223,232],"differ":[224],"from":[225],"those":[226],"analytical":[228],"AI.":[229],"Analytical":[230],"(AI)":[233],"widely":[235],"used":[236],"purposes":[239],"predicting":[241],"future":[242,334],"events,":[243],"optimising":[244],"desired":[245],"values,":[246],"utilising":[248],"past":[249],"processes":[253],"results.":[255],"Gen":[256],"represents":[258,309],"new":[260],"opportunity":[261],"problem":[263],"solutions,":[264],"demonstrated":[266],"by":[267,320],"recent":[268],"advancements":[269],"content":[271],"production,":[272],"insight":[273],"generation,":[274],"human-like":[276],"engagement.":[277],"There":[278],"urgent":[281],"need":[282],"additional":[284],"scholarly":[285],"research":[286],"gain":[288],"deeper":[290],"understanding":[291],"how":[293],"Gen-AI":[294,319],"adopted":[298],"spread":[300],"across":[301],"different":[302],"industries":[303],"production":[305],"systems.":[306],"This":[307],"study":[308],"preliminary":[311],"attempt":[312],"investigate":[314],"current":[316],"utilisation":[317],"corporations,":[321],"well":[323],"advantages":[326],"difficulties":[328],"entails,":[330],"anticipated":[333],"these":[336],"technologies.":[337]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
