{"id":"https://openalex.org/W7125582004","doi":"https://doi.org/10.1109/wsc68292.2025.11338913","title":"Using Deep Learning to Improve Simulation-Based Decision Making by Process Lead Time Predictions","display_name":"Using Deep Learning to Improve Simulation-Based Decision Making by Process Lead Time Predictions","publication_year":2025,"publication_date":"2025-12-07","ids":{"openalex":"https://openalex.org/W7125582004","doi":"https://doi.org/10.1109/wsc68292.2025.11338913"},"language":"en","primary_location":{"id":"doi:10.1109/wsc68292.2025.11338913","doi":"https://doi.org/10.1109/wsc68292.2025.11338913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc68292.2025.11338913","pdf_url":null,"source":{"id":"https://openalex.org/S4306421180","display_name":"Winter Simulation Conference","issn_l":"0891-7736","issn":["0891-7736"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5079105184","display_name":"Christian Schwede","orcid":"https://orcid.org/0009-0003-0431-6547","observed_orcids":["https://orcid.org/0009-0003-0431-6547"]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Schwede","raw_affiliation_strings":["University of Applied Sciences and Arts Bielefeld,Dept. of Engineering and Mathematics,Bielefeld,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences and Arts Bielefeld,Dept. of Engineering and Mathematics,Bielefeld,GERMANY","institution_ids":["https://openalex.org/I203082224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093834145","display_name":"Adrian Freiter","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I203082224","display_name":"Hochschule Bielefeld","ror":"https://ror.org/00edvg943","country_code":"DE","type":"education","lineage":["https://openalex.org/I203082224"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adrian Freiter","raw_affiliation_strings":["University of Applied Sciences and Arts Bielefeld,Dept. of Engineering and Mathematics,Bielefeld,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences and Arts Bielefeld,Dept. of Engineering and Mathematics,Bielefeld,GERMANY","institution_ids":["https://openalex.org/I203082224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203082224"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2989","last_page":"3000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.3630000054836273,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.3630000054836273,"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/T10763","display_name":"Digital Transformation in Industry","score":0.2838999927043915,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.13259999454021454,"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/digital-twin","display_name":"digital twin","score":0.8299999833106995},{"id":"https://openalex.org/keywords/simulation-based-decision-making","display_name":"simulation-based decision making","score":0.8690000176429749},{"id":"https://openalex.org/keywords/staff-scheduling","display_name":"workforce scheduling","score":0.7300000190734863},{"id":"https://openalex.org/keywords/order-scheduling","display_name":"order scheduling","score":0.7559999823570251},{"id":"https://openalex.org/keywords/production-planning","display_name":"production planning","score":0.48399999737739563}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.63919997215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5848000049591064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542900025844574},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.4235999882221222},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37619999051094055},{"id":"https://openalex.org/C131419983","wikidata":"https://www.wikidata.org/wiki/Q1909845","display_name":"Deep time","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27469998598098755},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26460000872612}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc68292.2025.11338913","doi":"https://doi.org/10.1109/wsc68292.2025.11338913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc68292.2025.11338913","pdf_url":null,"source":{"id":"https://openalex.org/S4306421180","display_name":"Winter Simulation Conference","issn_l":"0891-7736","issn":["0891-7736"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/513791","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/513791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2274597962","https://openalex.org/W2811113727","https://openalex.org/W2891312491","https://openalex.org/W2900651653","https://openalex.org/W2949676527","https://openalex.org/W2951753889","https://openalex.org/W3043617974","https://openalex.org/W3096437212","https://openalex.org/W3131345196","https://openalex.org/W3164137752","https://openalex.org/W3183472683","https://openalex.org/W3208026483","https://openalex.org/W3217506920","https://openalex.org/W4226341570","https://openalex.org/W4285060399","https://openalex.org/W4317815217","https://openalex.org/W4406611885"],"related_works":["https://openalex.org/W4403271309","https://openalex.org/W7097837886","https://openalex.org/W7124454745","https://openalex.org/W1520237898","https://openalex.org/W2008023974","https://openalex.org/W2168428880","https://openalex.org/W2346755184","https://openalex.org/W1965432230","https://openalex.org/W7096847144","https://openalex.org/W6903824356"],"abstract_inverted_index":{"Based":[0],"on":[1],"digital":[2,63],"twins,":[3],"simulation":[4,75],"is":[5,81],"often":[6,37],"used":[7,73],"in":[8,34,44,74],"companies":[9],"for":[10,100],"the":[11,22,45,84],"regular":[12],"planning":[13],"and":[14,59],"control":[15],"of":[16,25,30,52,89,97],"operational":[17],"processes.":[18],"However,":[19],"when":[20],"modeling":[21],"lead":[23,41,70],"times":[24,32,71],"individual":[26,95],"processes,":[27],"mean":[28],"values":[29],"process":[31],"measured":[33],"advance":[35],"are":[36,72],"used,":[38],"which":[39],"can":[40,56],"to":[42,76],"errors":[43],"planning.":[46],"This":[47],"work":[48],"demonstrates":[49],"how":[50],"models":[51],"these":[53],"time":[54],"distributions":[55],"be":[57],"created":[58],"updated":[60],"within":[61],"a":[62,90],"twin":[64],"framework":[65],"using":[66,83],"machine":[67],"learning.":[68],"The":[69,79],"create":[77],"schedules.":[78],"approach":[80],"validated":[82],"online":[85],"order":[86],"workforce":[87],"scheduling":[88],"medium-sized":[91],"company":[92],"that":[93],"assembles":[94],"packages":[96],"office":[98],"materials":[99],"its":[101],"customers.":[102]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-01-25T00:00:00"}
