{"id":"https://openalex.org/W7128363597","doi":"https://doi.org/10.1093/jcde/qwag013","title":"User-friendly assembly line optimization: A hierarchical approach combining simulation-evaluated heuristics and reinforcement learning","display_name":"User-friendly assembly line optimization: A hierarchical approach combining simulation-evaluated heuristics and reinforcement learning","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128363597","doi":"https://doi.org/10.1093/jcde/qwag013"},"language":"en","primary_location":{"id":"doi:10.1093/jcde/qwag013","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag013","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1093/jcde/qwag013","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121200682","display_name":"Ye Ji Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ye Ji Choi","raw_affiliation_strings":["Seoul National University of Science and Technology Department of Applied Artificial Intelligence, , 232 Gongneung-ro, Nowon-gu, Seoul 01811 ,"],"raw_orcid":"https://orcid.org/0009-0005-3947-6916","affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology Department of Applied Artificial Intelligence, , 232 Gongneung-ro, Nowon-gu, Seoul 01811 ,","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074695525","display_name":"Byeong Soo Kim","orcid":"https://orcid.org/0000-0003-2534-7353"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byeong Soo Kim","raw_affiliation_strings":["Seoul National University of Science and Technology Department of Applied Artificial Intelligence, , 232 Gongneung-ro, Nowon-gu, Seoul 01811 ,"],"raw_orcid":"https://orcid.org/0000-0003-2534-7353","affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology Department of Applied Artificial Intelligence, , 232 Gongneung-ro, Nowon-gu, Seoul 01811 ,","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074695525"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":6.8993,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93578311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"23","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9589999914169312,"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":0.9589999914169312,"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":0.01080000028014183,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.0038999998942017555,"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/heuristics","display_name":"Heuristics","score":0.6417999863624573},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6205999851226807},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5109000205993652},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4668999910354614},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4575999975204468},{"id":"https://openalex.org/keywords/assembly-line","display_name":"Assembly line","score":0.4345000088214874},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6417999863624573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237999796867371},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6205999851226807},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4668999910354614},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C3019666875","wikidata":"https://www.wikidata.org/wiki/Q455037","display_name":"Assembly line","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3481999933719635},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3066999912261963},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2800999879837036},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jcde/qwag013","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag013","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1093/jcde/qwag013","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag013","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6128417253494263,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G3237318806","display_name":null,"funder_award_id":"2025-RISE-01-014-05","funder_id":"https://openalex.org/F4320311649","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G4499431137","display_name":null,"funder_award_id":"RS\u20102023\u201000221365","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W382688224","https://openalex.org/W1595159159","https://openalex.org/W1974519357","https://openalex.org/W2012548384","https://openalex.org/W2029150624","https://openalex.org/W2030295525","https://openalex.org/W2043594380","https://openalex.org/W2063202316","https://openalex.org/W2065949172","https://openalex.org/W2074271686","https://openalex.org/W2084431114","https://openalex.org/W2087168709","https://openalex.org/W2095346766","https://openalex.org/W2104984867","https://openalex.org/W2112036188","https://openalex.org/W2127823468","https://openalex.org/W2130138066","https://openalex.org/W2139824765","https://openalex.org/W2152195021","https://openalex.org/W2170630727","https://openalex.org/W2465768020","https://openalex.org/W2481162943","https://openalex.org/W2765302304","https://openalex.org/W2765968154","https://openalex.org/W2786772725","https://openalex.org/W2979619501","https://openalex.org/W3147164456","https://openalex.org/W3168201137","https://openalex.org/W3168867926","https://openalex.org/W3215942922","https://openalex.org/W4248428836","https://openalex.org/W4250912364","https://openalex.org/W4256438118","https://openalex.org/W4299303657","https://openalex.org/W4311458828","https://openalex.org/W4323240623","https://openalex.org/W4386554921","https://openalex.org/W4386955128","https://openalex.org/W4390005906","https://openalex.org/W4390820627","https://openalex.org/W4390961782","https://openalex.org/W4391275533","https://openalex.org/W4391658021","https://openalex.org/W4393231265","https://openalex.org/W4399365965","https://openalex.org/W4401201897","https://openalex.org/W4401416363","https://openalex.org/W4403442581","https://openalex.org/W4404340786","https://openalex.org/W4405381793","https://openalex.org/W4407995309"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Efficient":[1],"assembly":[2,151],"line":[3,152],"optimization":[4,84],"is":[5,128],"essential":[6],"for":[7],"improving":[8],"productivity":[9],"and":[10,29,61,76,135,149],"cost":[11],"competitiveness":[12],"in":[13,32,44,79],"modern":[14],"manufacturing":[15],"systems.":[16],"Despite":[17],"its":[18],"importance,":[19],"many":[20],"existing":[21],"approaches":[22],"neglect":[23],"the":[24,110,137,144],"limited":[25],"number":[26],"of":[27],"resources":[28],"workers":[30],"available":[31],"real":[33],"production":[34],"environments,":[35],"leading":[36],"to":[37,42,130],"solutions":[38],"that":[39,52,143],"are":[40,88,96],"difficult":[41],"deploy":[43],"practice.":[45],"This":[46],"study":[47],"proposes":[48],"a":[49],"hierarchical":[50],"framework":[51,146],"tightly":[53],"integrates":[54],"human":[55],"intent":[56],"interpretation,":[57],"logical":[58],"system":[59,138],"configuration,":[60],"physical":[62,94],"layout":[63],"optimization.":[64],"A":[65],"large":[66],"language":[67,81],"model":[68,108],"fine-tuned":[69],"with":[70,154],"low-rank":[71],"adaptation":[72],"translates":[73],"user-defined":[74],"objectives":[75],"constraints":[77],"expressed":[78],"natural":[80],"into":[82],"quantitative":[83],"goals.":[85],"Logical":[86],"configurations":[87],"optimized":[89],"using":[90,98],"metaheuristic":[91],"methods,":[92],"while":[93],"layouts":[95],"refined":[97],"implicit":[99,115],"quantile":[100,116],"network":[101],"(IQN)\u2013based":[102],"deep":[103],"reinforcement":[104],"learning.":[105],"The":[106],"IQN":[107],"captures":[109],"full":[111],"return":[112],"distribution":[113],"through":[114],"sampling,":[117],"enabling":[118],"more":[119],"flexible":[120],"policy":[121],"learning":[122],"under":[123],"stochastic":[124],"environments.":[125],"Discrete-event":[126],"simulation":[127],"used":[129],"evaluate":[131],"key":[132],"performance":[133],"indicators":[134],"refine":[136],"configuration.":[139],"Simulation":[140],"results":[141],"demonstrate":[142],"proposed":[145],"generates":[147],"feasible":[148],"robust":[150],"designs":[153],"improved":[155],"practical":[156],"deployability.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-02-10T00:00:00"}
