{"id":"https://openalex.org/W4239832676","doi":"https://doi.org/10.1109/wsc.2018.8632482","title":"PRODUCTION LOG DATA ANALYSIS FOR REJECT RATE PREDICTION AND WORKLOAD ESTIMATION","display_name":"PRODUCTION LOG DATA ANALYSIS FOR REJECT RATE PREDICTION AND WORKLOAD ESTIMATION","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W4239832676","doi":"https://doi.org/10.1109/wsc.2018.8632482"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2018.8632482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2018.8632482","pdf_url":null,"source":{"id":"https://openalex.org/S4363607834","display_name":"2018 Winter Simulation Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Winter Simulation Conference (WSC)","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/A5062072804","display_name":"Andr\u00e1s Pfeiffer","orcid":"https://orcid.org/0000-0003-2216-7824"},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Andras Pfeiffer","raw_affiliation_strings":["Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY"],"affiliations":[{"raw_affiliation_string":"Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000517089","display_name":"D\u00e1vid Gyulai","orcid":"https://orcid.org/0000-0003-1422-1130"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"David Gyulai","raw_affiliation_strings":["Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY"],"affiliations":[{"raw_affiliation_string":"Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009497574","display_name":"\u00c1d\u00e1m Szaller","orcid":"https://orcid.org/0000-0001-9555-4070"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Adam Szaller","raw_affiliation_strings":["Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY"],"affiliations":[{"raw_affiliation_string":"Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049960953","display_name":"L\u00e1szl\u00f3 Monostori","orcid":"https://orcid.org/0000-0001-8692-8640"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Laszlo Monostori","raw_affiliation_strings":["Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY"],"affiliations":[{"raw_affiliation_string":"Hungarian Academy of Sciences, MTA SZTAKI \u2013 Institute for Computer Science and Control, Budapest, HUNGARY","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062072804"],"corresponding_institution_ids":["https://openalex.org/I7597260","https://openalex.org/I4210117195"],"apc_list":null,"apc_paid":null,"fwci":0.49040081,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67195038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3364","last_page":"3374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9835000038146973,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9835000038146973,"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":0.9804999828338623,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9660999774932861,"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/workload","display_name":"Workload","score":0.8293929696083069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063149213790894},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6243071556091309},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5276259779930115},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4893748164176941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48733076453208923},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48183050751686096},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46325287222862244},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4601247310638428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39621487259864807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1510097086429596},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09568065404891968}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8293929696083069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063149213790894},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6243071556091309},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5276259779930115},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4893748164176941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48733076453208923},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48183050751686096},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46325287222862244},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4601247310638428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39621487259864807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1510097086429596},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09568065404891968},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2018.8632482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2018.8632482","pdf_url":null,"source":{"id":"https://openalex.org/S4363607834","display_name":"2018 Winter Simulation Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"The":[0,77],"main":[1],"focus":[2],"of":[3,30,35,81,102],"the":[4,31,58,88,96,100],"research":[5],"presented":[6,48],"in":[7,33,57],"this":[8],"paper":[9],"is":[10,47],"to":[11,74],"propose":[12],"new":[13],"methods":[14,32],"for":[15,44],"filtering":[16],"and":[17,39],"cleaning":[18],"large-scale":[19],"production":[20,37],"log":[21],"data":[22],"by":[23],"applying":[24],"statistical":[25],"learning":[26],"models.":[27],"Successful":[28],"application":[29],"consideration":[34],"a":[36,40,70],"optimization":[38],"simulation-based":[41,82],"prediction":[42],"framework":[43],"decision":[45],"support":[46],"through":[49],"an":[50],"industrial":[51],"case":[52],"study.":[53],"Key":[54],"parameters":[55],"analysed":[56],"computational":[59],"experiments":[60],"are":[61,85],"fluctuating":[62],"reject":[63],"rates":[64],"that":[65],"make":[66],"capacity":[67],"estimations":[68],"on":[69,99],"shift":[71],"basis":[72],"difficult":[73],"cope":[75],"with.":[76],"most":[78],"relevant":[79],"features":[80],"workload":[83,103],"estimation":[84],"extracted":[86],"from":[87],"products'":[89],"final":[90],"test":[91],"log,":[92],"which":[93],"process":[94],"has":[95],"greatest":[97],"impact":[98],"variance":[101],"parameters.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}