{"id":"https://openalex.org/W4383370286","doi":"https://doi.org/10.57062/ijpem-st.2023.0052","title":"Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches","display_name":"Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4383370286","doi":"https://doi.org/10.57062/ijpem-st.2023.0052"},"language":"en","primary_location":{"id":"doi:10.57062/ijpem-st.2023.0052","doi":"https://doi.org/10.57062/ijpem-st.2023.0052","is_oa":false,"landing_page_url":"https://doi.org/10.57062/ijpem-st.2023.0052","pdf_url":null,"source":{"id":"https://openalex.org/S4387286109","display_name":"International Journal of Precision Engineering and Manufacturing-Smart Technology","issn_l":"2951-4614","issn":["2951-4614","2951-6382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Precision Engineering and Manufacturing-Smart Technology","raw_type":"journal-article"},"volume":null,"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/A5064088313","display_name":"Yongkuk Jeong","orcid":"https://orcid.org/0000-0003-1878-773X","observed_orcids":["https://orcid.org/0000-0003-1878-773X"]},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yongkuk Jeong","raw_affiliation_strings":["Department of Production Engineering KTH Royal Institute of Technology, Kvarnbergagatan 12, SE-151 81 S\u00f6dert\u00e4lje, \nSweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Production Engineering KTH Royal Institute of Technology, Kvarnbergagatan 12, SE-151 81 S\u00f6dert\u00e4lje, \nSweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064088313"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":3.0541,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90794498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":"2","first_page":"187","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.989300012588501,"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":0.989300012588501,"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"}},{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13027","display_name":"Applied Advanced Technologies","score":0.00019999999494757503,"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/production-logistics","display_name":"production logistics","score":0.7950000166893005},{"id":"https://openalex.org/keywords/digitalization","display_name":"digitalization","score":0.7789999842643738},{"id":"https://openalex.org/keywords/data-driven-approach","display_name":"data-driven methods","score":0.6690000295639038},{"id":"https://openalex.org/keywords/model-based-approach","display_name":"model-based approach","score":0.9629999995231628},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.9869999885559082},{"id":"https://openalex.org/keywords/simulation","display_name":"simulation","score":0.8090000152587891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.9549999833106995},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9670000076293945},{"id":"https://openalex.org/keywords/chatgpt","display_name":"ChatGPT","score":0.875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9259999990463257},{"id":"https://openalex.org/keywords/real-time-data","display_name":"real-time data","score":0.8859999775886536},{"id":"https://openalex.org/keywords/system-monitoring","display_name":"system monitoring","score":0.8209999799728394},{"id":"https://openalex.org/keywords/production-efficiency","display_name":"production efficiency","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.760790228843689},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6641368865966797},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.6374326944351196},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6350955963134766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707926154136658},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.5190396904945374},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4851120710372925},{"id":"https://openalex.org/C126082660","wikidata":"https://www.wikidata.org/wiki/Q4252370","display_name":"Digital transformation","level":2,"score":0.4189178943634033},{"id":"https://openalex.org/C43540301","wikidata":"https://www.wikidata.org/wiki/Q689971","display_name":"Paradigm shift","level":2,"score":0.4179037809371948},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.32009777426719666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3189997673034668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24155595898628235},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.57062/ijpem-st.2023.0052","doi":"https://doi.org/10.57062/ijpem-st.2023.0052","is_oa":false,"landing_page_url":"https://doi.org/10.57062/ijpem-st.2023.0052","pdf_url":null,"source":{"id":"https://openalex.org/S4387286109","display_name":"International Journal of Precision Engineering and Manufacturing-Smart Technology","issn_l":"2951-4614","issn":["2951-4614","2951-6382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Precision Engineering and Manufacturing-Smart Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.8970999717712402,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2007999001","https://openalex.org/W2105452569","https://openalex.org/W2597150627","https://openalex.org/W2786100634","https://openalex.org/W2890904471","https://openalex.org/W2901468500","https://openalex.org/W2910258701","https://openalex.org/W2943339962","https://openalex.org/W2995192713","https://openalex.org/W3006501489","https://openalex.org/W3032109385","https://openalex.org/W3034077050","https://openalex.org/W3043821199","https://openalex.org/W3045027941","https://openalex.org/W3048242959","https://openalex.org/W3048614720","https://openalex.org/W3084275702","https://openalex.org/W3084545907","https://openalex.org/W3092475830","https://openalex.org/W3123110575","https://openalex.org/W3133745567","https://openalex.org/W3154328101","https://openalex.org/W3157665091","https://openalex.org/W3162022863","https://openalex.org/W3166200378","https://openalex.org/W3167143043","https://openalex.org/W3173458433","https://openalex.org/W3196828666","https://openalex.org/W3203586625","https://openalex.org/W4200612054","https://openalex.org/W4205735721","https://openalex.org/W4210242652","https://openalex.org/W4221033747","https://openalex.org/W4225657263","https://openalex.org/W4225662041","https://openalex.org/W4255700051","https://openalex.org/W4283819196","https://openalex.org/W4286716453","https://openalex.org/W4293770953","https://openalex.org/W4307403841","https://openalex.org/W4307657928","https://openalex.org/W4312832527","https://openalex.org/W4320168964","https://openalex.org/W4366000650","https://openalex.org/W4366279859","https://openalex.org/W4378527669"],"related_works":["https://openalex.org/W4386713767","https://openalex.org/W4205847967","https://openalex.org/W7213532394","https://openalex.org/W7123411983","https://openalex.org/W4378527669","https://openalex.org/W6955294053","https://openalex.org/W2993338211","https://openalex.org/W3144752652","https://openalex.org/W7154242846","https://openalex.org/W4409117942"],"abstract_inverted_index":{"The":[0,94],"paradigm":[1],"shift":[2],"from":[3],"model-based":[4,64],"to":[5],"data-driven":[6,45,77,105,124,167],"approaches":[7,46],"in":[8,44,72,91,122,141,159],"production":[9,92,125,160],"logistics":[10,126],"is":[11,60],"radically":[12],"transforming":[13],"the":[14,21,28,41,48,63,75,97,111,132,157,163],"manufacturing":[15],"landscape.":[16],"This":[17,146],"paper":[18,147],"delves":[19],"into":[20],"profound":[22],"implications":[23],"of":[24,31,114,135,156,166],"this":[25,52,142],"transition,":[26],"emphasizing":[27,162],"instrumental":[29],"role":[30],"simulation":[32,136],"and":[33,47,70,83,89,101,137,150,169],"digital":[34,138],"twins.":[35],"Through":[36],"an":[37],"exhaustive":[38],"literature":[39],"review,":[40],"emerging":[42],"trends":[43],"driving":[49],"forces":[50],"behind":[51],"change":[53],"are":[54,127],"elucidated.":[55],"A":[56],"comparative":[57],"case":[58],"study":[59],"presented,":[61],"contrasting":[62],"approach,":[65,78,106],"which":[66,79],"employs":[67],"predefined":[68],"models":[69,119],"principles":[71],"simulations,":[73],"with":[74,152],"innovative":[76],"utilizes":[80],"real-time":[81],"data":[82],"machine":[84],"learning":[85],"for":[86],"system":[87],"monitoring":[88],"predictions":[90],"logistics.":[93],"analysis":[95],"reveals":[96],"heightened":[98],"efficiency,":[99],"adaptability,":[100],"effectiveness":[102],"offered":[103],"by":[104],"showcasing":[107],"their":[108],"superiority.":[109],"Additionally,":[110],"prospective":[112],"roles":[113],"AI,":[115],"particularly":[116],"large":[117],"language":[118],"like":[120],"ChatGPT,":[121],"enhancing":[123],"investigated.":[128],"Exploratory":[129],"scenarios":[130],"envision":[131],"future":[133],"trajectories":[134],"twin":[139],"applications":[140],"rapidly":[143],"evolving":[144],"field.":[145],"provides":[148],"academia":[149],"industry":[151],"a":[153],"comprehensive":[154],"overview":[155],"digitalization":[158],"logistics,":[161],"immense":[164],"promise":[165],"approach":[168],"AI.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2023-07-07T00:00:00"}