{"id":"https://openalex.org/W4407450409","doi":"https://doi.org/10.1109/cac63892.2024.10864691","title":"Unified DRL for Enhanced Flexible Job-Shop Scheduling with Transportation Constraints","display_name":"Unified DRL for Enhanced Flexible Job-Shop Scheduling with Transportation Constraints","publication_year":2024,"publication_date":"2024-11-01","ids":{"openalex":"https://openalex.org/W4407450409","doi":"https://doi.org/10.1109/cac63892.2024.10864691"},"language":"en","primary_location":{"id":"doi:10.1109/cac63892.2024.10864691","doi":"https://doi.org/10.1109/cac63892.2024.10864691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac63892.2024.10864691","pdf_url":null,"source":{"id":"https://openalex.org/S4363604230","display_name":"China Automation Congress (CAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 China Automation Congress (CAC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100429830","display_name":"Yijie Wang","orcid":"https://orcid.org/0000-0002-8598-2300","observed_orcids":["https://orcid.org/0000-0002-8598-2300"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876241","display_name":"Runqing Wang","orcid":"https://orcid.org/0009-0003-5279-7736","observed_orcids":["https://orcid.org/0009-0003-5279-7736","https://orcid.org/0009-0004-6997-8602"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runqing Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701131","display_name":"Jian Qiao Sun","orcid":"https://orcid.org/0000-0001-9898-3129","observed_orcids":["https://orcid.org/0000-0001-9898-3129","https://orcid.org/0000-0002-9743-7457"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367403","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-7266-2412","observed_orcids":["https://orcid.org/0000-0002-7266-2412"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.5105,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84595088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"877","last_page":"882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.0,"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/flexible-job-shop-scheduling","display_name":"flexible job shop scheduling","score":0.9860000014305115},{"id":"https://openalex.org/keywords/transportation-constraints","display_name":"transportation constraints","score":0.9890000224113464},{"id":"https://openalex.org/keywords/automated-guided-vehicles","display_name":"automated guided vehicles","score":0.9620000123977661},{"id":"https://openalex.org/keywords/deep-reinforcement-learning","display_name":"deep reinforcement learning","score":0.9670000076293945},{"id":"https://openalex.org/keywords/graph-attention-networks","display_name":"graph attention networks","score":0.7319999933242798},{"id":"https://openalex.org/keywords/proximal-policy-optimization","display_name":"proximal policy optimization","score":0.996999979019165},{"id":"https://openalex.org/keywords/machine-assignment","display_name":"machine assignment","score":0.6990000009536743},{"id":"https://openalex.org/keywords/smart-manufacturing-systems","display_name":"smart manufacturing systems","score":0.7400000095367432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219829320907593},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4579209089279175},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.44981813430786133},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19923362135887146},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13940536975860596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07860857248306274},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.04816177487373352}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cac63892.2024.10864691","doi":"https://doi.org/10.1109/cac63892.2024.10864691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cac63892.2024.10864691","pdf_url":null,"source":{"id":"https://openalex.org/S4363604230","display_name":"China Automation Congress (CAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 China Automation Congress (CAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.8970999717712402}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6200000047683716}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2003623957","https://openalex.org/W2026541511","https://openalex.org/W2036338518","https://openalex.org/W2104517380","https://openalex.org/W2260286117","https://openalex.org/W2805798351","https://openalex.org/W2989902167","https://openalex.org/W3006275750","https://openalex.org/W3092560364","https://openalex.org/W3128992509","https://openalex.org/W3164233463","https://openalex.org/W3198536111","https://openalex.org/W3209083247","https://openalex.org/W3209314316","https://openalex.org/W4285024875","https://openalex.org/W4363675709","https://openalex.org/W4385756415","https://openalex.org/W4386590783","https://openalex.org/W4391341255","https://openalex.org/W4403180437","https://openalex.org/W6627932998","https://openalex.org/W6741002519","https://openalex.org/W6748487558","https://openalex.org/W6784473743"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W3204654320"],"abstract_inverted_index":{"In":[0],"the":[1,22,31,39,53,120,142],"domain":[2],"of":[3,41,55,70,91,150],"smart":[4],"manufacturing":[5],"systems":[6],"(SMSs),the":[7],"flexible":[8],"job-shop":[9,33],"scheduling":[10,34,40,90,151],"problem":[11,35],"with":[12],"transportation":[13],"constraints":[14],"(FJSPT)":[15],"represents":[16],"a":[17,67,109,114],"crucial":[18],"challenge":[19],"and":[20,93,105,119,128,137,153],"holds":[21],"potential":[23],"to":[24,46,74],"significantly":[25],"enhance":[26],"production":[27],"efficiency.":[28,155],"Extending":[29],"beyond":[30],"traditional":[32],"(JSP),":[36],"FJSPT":[37],"incorporates":[38],"automated":[42],"guided":[43],"vehicles":[44],"(AGVs)":[45],"transport":[47],"intermediate":[48],"products":[49],"between":[50],"machines.":[51],"Despite":[52],"promise":[54],"deep":[56],"reinforcement":[57],"learning":[58],"(DRL)":[59],"in":[60,95,148],"solving":[61],"combinatorial":[62],"optimization":[63,123],"problems,":[64],"there":[65],"remains":[66],"notable":[68],"scarcity":[69],"research":[71],"employing":[72],"DRL":[73,86],"tackle":[75],"FJSPT.":[76,96],"To":[77],"address":[78],"this":[79,81],"gap,":[80],"paper":[82],"introduces":[83],"an":[84],"end-to-end":[85],"approach":[87],"for":[88,126],"simultaneous":[89],"machines":[92],"AGVs":[94],"The":[97],"proposed":[98,143],"method":[99,144],"amalgamates":[100],"operation":[101],"selection,":[102],"machine":[103],"assignment,":[104],"AGV":[106],"planning":[107],"into":[108],"unified":[110],"decision-making":[111],"process,":[112],"leveraging":[113],"graph":[115],"attention":[116],"network":[117],"(GAT)":[118],"proximal":[121],"policy":[122],"(PPO)":[124],"algorithm":[125],"efficient":[127],"stable":[129],"training.":[130],"Experimental":[131],"evaluations":[132],"conducted":[133],"on":[134],"synthetic":[135],"data":[136],"public":[138],"instances":[139],"demonstrate":[140],"that":[141],"outperforms":[145],"existing":[146],"approaches":[147],"terms":[149],"performance":[152],"computational":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}