{"id":"https://openalex.org/W3186533996","doi":"https://doi.org/10.1109/access.2021.3097254","title":"Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups","display_name":"Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186533996","doi":"https://doi.org/10.1109/access.2021.3097254","mag":"3186533996"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3097254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09486959.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09486959.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039273569","display_name":"Bohyung Paeng","orcid":"https://orcid.org/0000-0002-9414-4907"},"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":"Bohyung Paeng","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University, Seoul, South Korea","Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9414-4907","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054308008","display_name":"In-Beom Park","orcid":"https://orcid.org/0000-0002-8890-7381"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Beom Park","raw_affiliation_strings":["Department of Industrial Engineering, Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8890-7381","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102823810","display_name":"Jonghun Park","orcid":"https://orcid.org/0000-0001-7505-110X"},"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":"Jonghun Park","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University, Seoul, South Korea","Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7505-110X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0581,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92009046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"101390","last_page":"101401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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":0.9710000157356262,"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":0.904666006565094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8013474345207214},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.768356204032898},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.666170060634613},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6560882329940796},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6347429752349854},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.516326367855072},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4371689558029175},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4295910894870758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42505139112472534},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3946585953235626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32484710216522217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08222118020057678}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.904666006565094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8013474345207214},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.768356204032898},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.666170060634613},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6560882329940796},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6347429752349854},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.516326367855072},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4371689558029175},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4295910894870758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42505139112472534},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3946585953235626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32484710216522217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08222118020057678},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3097254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09486959.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5af43b17cadd4729b3aa6b41d4132ab4","is_oa":true,"landing_page_url":"https://doaj.org/article/5af43b17cadd4729b3aa6b41d4132ab4","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 101390-101401 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3097254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09486959.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G6797230756","display_name":null,"funder_award_id":"NRF-2015R1D1A1A01057496","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6954789794","display_name":null,"funder_award_id":"NRF-2015R1D1A1A01057496","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320336769","display_name":"Institute of Engineering Research, Seoul National University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186533996.pdf","grobid_xml":"https://content.openalex.org/works/W3186533996.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W114677292","https://openalex.org/W232921671","https://openalex.org/W1585546214","https://openalex.org/W1665214252","https://openalex.org/W1669302834","https://openalex.org/W1964880220","https://openalex.org/W1966523365","https://openalex.org/W1972928373","https://openalex.org/W1977571694","https://openalex.org/W1991547818","https://openalex.org/W1997425713","https://openalex.org/W2000630887","https://openalex.org/W2013315474","https://openalex.org/W2029975310","https://openalex.org/W2030250600","https://openalex.org/W2046033161","https://openalex.org/W2056941963","https://openalex.org/W2069533632","https://openalex.org/W2070270802","https://openalex.org/W2075187937","https://openalex.org/W2097998348","https://openalex.org/W2117457798","https://openalex.org/W2121863487","https://openalex.org/W2145339207","https://openalex.org/W2146219471","https://openalex.org/W2187600643","https://openalex.org/W2277980977","https://openalex.org/W2285258071","https://openalex.org/W2320416284","https://openalex.org/W2479867382","https://openalex.org/W2541174666","https://openalex.org/W2546571074","https://openalex.org/W2617411258","https://openalex.org/W2618749399","https://openalex.org/W2793262237","https://openalex.org/W2794550757","https://openalex.org/W2807766588","https://openalex.org/W2899640738","https://openalex.org/W2919897868","https://openalex.org/W2932097000","https://openalex.org/W2953137280","https://openalex.org/W2962749046","https://openalex.org/W2962979969","https://openalex.org/W2972148356","https://openalex.org/W2977949361","https://openalex.org/W2997873913","https://openalex.org/W2998122425","https://openalex.org/W3000047509","https://openalex.org/W3002239905","https://openalex.org/W3009389630","https://openalex.org/W3016312248","https://openalex.org/W3016938688","https://openalex.org/W3031953693","https://openalex.org/W3034453054","https://openalex.org/W3044957812","https://openalex.org/W3045960351","https://openalex.org/W3046603986","https://openalex.org/W3046891697","https://openalex.org/W3092208345","https://openalex.org/W3129362935","https://openalex.org/W4245032432","https://openalex.org/W4295138992","https://openalex.org/W4298023569","https://openalex.org/W6634919779","https://openalex.org/W6637242042","https://openalex.org/W6674385629","https://openalex.org/W6686695435","https://openalex.org/W6738144653","https://openalex.org/W6748487558","https://openalex.org/W6768223682","https://openalex.org/W6782564567"],"related_works":["https://openalex.org/W2011810134","https://openalex.org/W2050497389","https://openalex.org/W1568976062","https://openalex.org/W2960025371","https://openalex.org/W2367625138","https://openalex.org/W2019537266","https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W74759090"],"abstract_inverted_index":{"Parallel":[0],"machine":[1],"scheduling":[2,28,55,65,78],"with":[3,116],"sequence-dependent":[4],"family":[5,107],"setups":[6],"has":[7],"attracted":[8],"much":[9],"attention":[10],"from":[11],"academia":[12],"and":[13,39,44,91,101,138,165],"industry":[14],"due":[15],"to":[16,36,75,121],"its":[17],"practical":[18],"applications.":[19],"In":[20],"a":[21,59,153],"real-world":[22],"manufacturing":[23],"system,":[24],"however,":[25],"solving":[26],"the":[27,50,54,110,123,130,134,148,163],"problem":[29],"becomes":[30],"challenging":[31],"since":[32],"it":[33],"is":[34,158],"required":[35],"address":[37],"urgent":[38],"frequent":[40],"changes":[41,85],"in":[42,67,142],"demand":[43],"due-dates":[45,102],"of":[46,53,98,103,144,162],"products.":[47],"To":[48],"minimize":[49],"total":[51,145],"tardiness":[52],"problem,":[56],"we":[57,88],"propose":[58,89],"deep":[60],"reinforcement":[61],"learning":[62],"(RL)":[63],"based":[64],"framework":[66,157],"which":[68],"trained":[69],"neural":[70],"networks":[71],"(NNs)":[72],"are":[73,96],"able":[74],"solve":[76],"unseen":[77],"problems":[79],"without":[80],"re-training":[81],"even":[82],"when":[83],"such":[84],"occur.":[86],"Specifically,":[87],"state":[90],"action":[92],"representations":[93],"whose":[94],"dimensions":[95],"independent":[97],"production":[99],"requirements":[100],"jobs":[104],"while":[105],"accommodating":[106],"setups.":[108],"At":[109],"same":[111],"time,":[112],"an":[113],"NN":[114],"architecture":[115],"parameter":[117],"sharing":[118],"was":[119],"utilized":[120],"improve":[122],"training":[124],"efficiency.":[125],"Extensive":[126],"experiments":[127],"demonstrate":[128],"that":[129],"proposed":[131],"method":[132],"outperforms":[133],"recent":[135],"metaheuristics,":[136],"rule-based,":[137],"other":[139,166],"RL-based":[140,167],"methods":[141],"terms":[143],"tardiness.":[146],"Moreover,":[147],"computation":[149],"time":[150],"for":[151],"obtaining":[152],"schedule":[154],"by":[155],"our":[156],"shorter":[159],"than":[160],"those":[161],"metaheuristics":[164],"methods.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
