{"id":"https://openalex.org/W4399760611","doi":"https://doi.org/10.1080/08839514.2024.2367840","title":"Toward Data-Driven and Multi-Scale Modeling for Material Flow Simulation: Characteristic Analysis of Modeling Methods","display_name":"Toward Data-Driven and Multi-Scale Modeling for Material Flow Simulation: Characteristic Analysis of Modeling Methods","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399760611","doi":"https://doi.org/10.1080/08839514.2024.2367840"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2367840","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2367840","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2367840?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2367840?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110122097","display_name":"Satoshi Nagahara","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]},{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Nagahara","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Hyogo, Japan","Industry Automation Research Dept, Hitachi, Ltd, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Industry Automation Research Dept, Hitachi, Ltd, Kanagawa, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002511707","display_name":"Toshiya Kaihara","orcid":"https://orcid.org/0000-0001-7653-1236"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiya Kaihara","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065647772","display_name":"Nobutada Fujii","orcid":"https://orcid.org/0000-0002-2845-0981"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutada Fujii","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034097546","display_name":"Daisuke Kokuryo","orcid":"https://orcid.org/0000-0001-9365-0704"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kokuryo","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110122097"],"corresponding_institution_ids":["https://openalex.org/I65143321","https://openalex.org/I65837984"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.2814,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56863313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9976999759674072,"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":0.9976999759674072,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.982200026512146,"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.9595000147819519,"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":0.8542859554290771},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5627481937408447},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.49336329102516174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35928666591644287},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.1460074484348297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8542859554290771},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5627481937408447},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.49336329102516174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35928666591644287},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.1460074484348297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/08839514.2024.2367840","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2367840","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2367840?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:da.lib.kobe-u.ac.jp:20.500.14094/0100490281","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14094/0100490281","pdf_url":"https://da.lib.kobe-u.ac.jp/da/kernel/0100490281/0100490281.pdf","source":{"id":"https://openalex.org/S4306401924","display_name":"Kobe University Repository Kernel (Kobe University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65837984","host_organization_name":"Kobe University","host_organization_lineage":["https://openalex.org/I65837984"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence\u300038(1), 2367840","raw_type":"journal article"},{"id":"pmh:oai:doaj.org/article:ab71f3e6d3f34310a99dcfbc48d6ecb7","is_oa":false,"landing_page_url":"https://doaj.org/article/ab71f3e6d3f34310a99dcfbc48d6ecb7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2367840","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2367840","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2367840?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G5387722763","display_name":"Risk Management of Comprehensive Monetary/Fiscal Policy: From Financial Crises to International Relations and Natural Disasters","funder_award_id":"20H05633","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6365831952","display_name":"Research on multi-scale social simulation for realization of digital design of social policy","funder_award_id":"24K07544","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399760611.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2020851875","https://openalex.org/W2022216427","https://openalex.org/W2061367947","https://openalex.org/W2302440654","https://openalex.org/W2346505350","https://openalex.org/W2803091665","https://openalex.org/W2811113727","https://openalex.org/W2954940385","https://openalex.org/W2955297385","https://openalex.org/W3092419551","https://openalex.org/W3159418479","https://openalex.org/W4296063846","https://openalex.org/W4388997077","https://openalex.org/W4389429134"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Material":[0],"flow":[1],"simulation":[2,31,55],"is":[3],"a":[4,36],"powerful":[5],"tool":[6],"to":[7,28,52,73],"realize":[8],"efficient":[9],"operations":[10],"in":[11,117],"complicated":[12],"production":[13,71],"systems":[14,72],"such":[15],"as":[16,41],"high-mix":[17],"and":[18,24,43,63,97,109],"low-volume":[19],"production.":[20],"Nevertheless,":[21],"great":[22],"effort":[23],"expertise":[25],"are":[26],"necessary":[27],"construct":[29],"accurate":[30],"models.":[32,87],"We":[33],"have":[34],"proposed":[35,61],"semi-automatic":[37],"modeling":[38,50,78,100],"approach":[39,47],"designated":[40],"data-driven":[42],"multi-scale":[44],"modeling.":[45],"The":[46,88],"combines":[48],"various":[49],"methods":[51,79,101],"maximize":[53],"the":[54,60,65,75,95,104,107,110,114,118],"accuracy.":[56],"This":[57],"article":[58],"introduces":[59],"method":[62],"presents":[64],"experimentally":[66],"obtained":[67],"results":[68,89],"for":[69],"simple":[70],"examine":[74],"characteristics":[76],"of":[77,90,99,106],"based":[80],"on":[81,103],"queue":[82],"models":[83],"or":[84],"machine":[85],"learning":[86],"computational":[91],"experiments":[92],"indicate":[93],"that":[94],"superiority":[96],"inferiority":[98],"depend":[102],"complexity":[105],"system":[108],"background":[111],"knowledge":[112],"about":[113],"activity":[115],"configuration":[116],"system.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
