{"id":"https://openalex.org/W3145901708","doi":"https://doi.org/10.1109/wsc48552.2020.9383990","title":"Multi-Level Optimization with Aggregated Discrete-Event Models","display_name":"Multi-Level Optimization with Aggregated Discrete-Event Models","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3145901708","doi":"https://doi.org/10.1109/wsc48552.2020.9383990","mag":"3145901708"},"language":"en","primary_location":{"id":"doi:10.1109/wsc48552.2020.9383990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5029995660","display_name":"Simon Lidberg","orcid":"https://orcid.org/0000-0003-1215-152X"},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Simon Lidberg","raw_affiliation_strings":["School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN","institution_ids":["https://openalex.org/I205158640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018732785","display_name":"Tehseen Aslam","orcid":"https://orcid.org/0000-0002-0880-2572"},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tehseen Aslam","raw_affiliation_strings":["School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN","institution_ids":["https://openalex.org/I205158640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067664620","display_name":"Amos H.C. Ng","orcid":"https://orcid.org/0000-0003-0111-1776"},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Amos H.C. Ng","raw_affiliation_strings":["School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Sk\u00f6vde, Sk\u00f6vde, SWEDEN","institution_ids":["https://openalex.org/I205158640"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205158640"],"apc_list":null,"apc_paid":null,"fwci":0.1859,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61593127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1515","last_page":"1526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9976999759674072,"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":0.9976999759674072,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9950000047683716,"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/T13886","display_name":"Operations Management Techniques","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.9533505439758301},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.8692989349365234},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.7417638897895813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116086483001709},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6142534613609314},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5563355684280396},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5526340007781982},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.32590973377227783},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.2825910449028015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20073848962783813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17556717991828918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10867944359779358},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07638075947761536}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.9533505439758301},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.8692989349365234},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.7417638897895813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116086483001709},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6142534613609314},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5563355684280396},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5526340007781982},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.32590973377227783},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2825910449028015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20073848962783813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17556717991828918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10867944359779358},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07638075947761536},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc48552.2020.9383990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307330","display_name":"Knowledge Foundation","ror":"https://ror.org/00v64cg28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W276355764","https://openalex.org/W1522029621","https://openalex.org/W1874424137","https://openalex.org/W2022485595","https://openalex.org/W2030590080","https://openalex.org/W2043853017","https://openalex.org/W2074380750","https://openalex.org/W2076922282","https://openalex.org/W2084113445","https://openalex.org/W2109341366","https://openalex.org/W2116235688","https://openalex.org/W2126105956","https://openalex.org/W2135121483","https://openalex.org/W2142768700","https://openalex.org/W2270063431","https://openalex.org/W2290830700","https://openalex.org/W2292190703","https://openalex.org/W2900248865","https://openalex.org/W2901509189","https://openalex.org/W2911391252","https://openalex.org/W2954328731","https://openalex.org/W2963020281","https://openalex.org/W3146412893","https://openalex.org/W4240521719","https://openalex.org/W4242073076","https://openalex.org/W4242176614","https://openalex.org/W4248462548","https://openalex.org/W4248648857","https://openalex.org/W6610160684"],"related_works":["https://openalex.org/W4234868872","https://openalex.org/W2132526614","https://openalex.org/W4312632439","https://openalex.org/W3139769421","https://openalex.org/W1996352672","https://openalex.org/W2013981730","https://openalex.org/W2788818439","https://openalex.org/W2161787861","https://openalex.org/W4242840380","https://openalex.org/W4232702346"],"abstract_inverted_index":{"Removing":[0],"bottlenecks":[1],"that":[2,52,135],"restrain":[3],"the":[4,43,83,108,129,136,141],"overall":[5],"performance":[6],"of":[7,55,80,94,131],"a":[8,13,31,57,121],"factory":[9,33,72,90],"can":[10,60,139],"give":[11],"companies":[12],"competitive":[14],"edge.":[15],"Although":[16],"in":[17,92],"principle,":[18],"it":[19,35],"is":[20],"possible":[21],"to":[22,29,97,107],"connect":[23],"multiple":[24,66],"detailed":[25,114,143],"discrete-event":[26],"simulation":[27,58],"models":[28,45,68],"form":[30],"complete":[32],"model,":[34,91],"could":[36],"be":[37,61,100],"too":[38],"computationally":[39],"expensive,":[40],"especially":[41],"if":[42,82],"connected":[44,115],"are":[46],"used":[47],"for":[48,146],"simulation-based":[49],"optimizations.":[50],"Observing":[51],"computational":[53],"speed":[54],"running":[56],"model":[59,145],"significantly":[62],"reduced":[63],"by":[64],"aggregating":[65],"line-level":[67,116,144],"into":[69],"an":[70,88],"aggregated":[71,89],"level,":[73],"this":[74,132],"paper":[75],"investigates,":[76],"with":[77,112],"some":[78,113],"loss":[79],"detail,":[81],"identified":[84],"bottleneck":[85,109,147],"information":[86,110],"from":[87,120],"terms":[93],"which":[95],"parameters":[96],"improve,":[98],"would":[99],"useful":[101],"and":[102],"accurate":[103],"enough":[104],"when":[105],"compared":[106],"obtained":[111],"models.":[117],"The":[118],"results":[119],"real-world,":[122],"multi-level":[123],"industrial":[124],"application":[125],"study":[126],"have":[127],"demonstrated":[128],"feasibility":[130],"approach,":[133],"showing":[134],"aggregation":[137],"method":[138],"represent":[140],"underlying":[142],"analysis.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
