{"id":"https://openalex.org/W4406612947","doi":"https://doi.org/10.1109/wsc63780.2024.10838946","title":"Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling","display_name":"Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612947","doi":"https://doi.org/10.1109/wsc63780.2024.10838946"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5090651576","display_name":"SoHyun Nam","orcid":"https://orcid.org/0000-0002-0642-9508"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SoHyun Nam","raw_affiliation_strings":["Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039378204","display_name":"Ji-Won Baek","orcid":"https://orcid.org/0000-0001-9332-2815"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwon Baek","raw_affiliation_strings":["Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009995700","display_name":"Young-In Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-In Cho","raw_affiliation_strings":["Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102785915","display_name":"Jong Hun Woo","orcid":"https://orcid.org/0000-0001-9675-9617"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Hun Woo","raw_affiliation_strings":["Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Naval Architecture and Ocean Engineering,Seoul,KOREA","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3052,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66804211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2583","last_page":"2594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9987000226974487,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9987000226974487,"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":0.9495999813079834,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9301999807357788,"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/tardiness","display_name":"Tardiness","score":0.937677800655365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7607624530792236},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7594304084777832},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6654317378997803},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5971924662590027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44874829053878784},{"id":"https://openalex.org/keywords/processor-scheduling","display_name":"Processor scheduling","score":0.4220411777496338},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.39628809690475464},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3355181813240051},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.25984567403793335},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0896955132484436},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08345192670822144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08078733086585999},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0636512041091919}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.937677800655365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607624530792236},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7594304084777832},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6654317378997803},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5971924662590027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44874829053878784},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.4220411777496338},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.39628809690475464},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3355181813240051},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25984567403793335},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0896955132484436},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08345192670822144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08078733086585999},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0636512041091919}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966497004","https://openalex.org/W2000630887","https://openalex.org/W2004181529","https://openalex.org/W2005169299","https://openalex.org/W2029946147","https://openalex.org/W2034801210","https://openalex.org/W2071760834","https://openalex.org/W2092097317","https://openalex.org/W2320416284","https://openalex.org/W2756249750","https://openalex.org/W3186533996","https://openalex.org/W4212778718","https://openalex.org/W4224279257","https://openalex.org/W4285130537","https://openalex.org/W4360978881","https://openalex.org/W4380877584","https://openalex.org/W6741002519"],"related_works":["https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W74759090","https://openalex.org/W4247589463","https://openalex.org/W2006534204","https://openalex.org/W4206466499","https://openalex.org/W4213379045","https://openalex.org/W3190401582","https://openalex.org/W2162001022"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,17,36,68,83,131],"novel":[4],"deep":[5],"reinforcement":[6,63],"learning":[7,64,118],"algorithm":[8],"for":[9,71],"the":[10,54,79,92,117,122],"identical":[11],"parallel":[12],"machine":[13],"scheduling":[14,72,80],"problem,":[15],"with":[16,87],"focus":[18,40],"on":[19,130],"minimizing":[20],"setup":[21,98],"time":[22],"and":[23,60,99],"tardiness.":[24,100],"In":[25],"modern":[26],"manufacturing":[27],"environments,":[28],"accommodating":[29],"diverse":[30],"consumer":[31],"demands":[32],"has":[33,65],"emerged":[34,66],"as":[35,67,82],"primary":[37],"challenge,":[38],"shifting":[39],"towards":[41],"small-batch,":[42],"multi-product":[43],"production":[44,58],"schemes.":[45],"However,":[46],"traditional":[47],"optimization":[48],"techniques":[49],"pose":[50],"challenges":[51],"due":[52],"to":[53,90,97,105,138],"inherent":[55],"complexity":[56],"of":[57,141],"environments":[59],"uncertainties.":[61],"Recently,":[62],"promising":[69],"alternative":[70],"in":[73],"such":[74],"dynamic":[75],"environments.":[76],"We":[77],"formulate":[78],"problem":[81],"Markov":[84],"decision":[85],"process,":[86],"states":[88],"designed":[89],"capture":[91],"key":[93],"performance":[94,136],"indicators":[95],"related":[96],"The":[101],"algorithm's":[102],"actions":[103],"correspond":[104],"selecting":[106],"one":[107],"heuristic":[108],"rules":[109],"among":[110],"SSPT,":[111],"ATCS,":[112],"MDD,":[113],"or":[114],"COVERT.":[115],"During":[116],"phase,":[119],"we":[120],"employ":[121],"Proximal":[123],"Policy":[124],"Optimization":[125],"(PPO)":[126],"algorithm.":[127],"Experimental":[128],"results":[129],"custom":[132],"dataset":[133],"demonstrate":[134],"superior":[135],"compared":[137],"individual":[139],"applications":[140],"existing":[142],"heuristics.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
