{"id":"https://openalex.org/W7155700374","doi":"https://doi.org/10.1016/j.aei.2026.104725","title":"A deep reinforcement learning method based on scale perception and heterogeneous graph neural network for flexible job shop scheduling","display_name":"A deep reinforcement learning method based on scale perception and heterogeneous graph neural network for flexible job shop scheduling","publication_year":2026,"publication_date":"2026-04-26","ids":{"openalex":"https://openalex.org/W7155700374","doi":"https://doi.org/10.1016/j.aei.2026.104725"},"language":"en","primary_location":{"id":"doi:10.1016/j.aei.2026.104725","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.aei.2026.104725","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-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/A5113063651","display_name":"Guangshuai Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangshuai Ning","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131247","display_name":"Meimei Zheng","orcid":"https://orcid.org/0000-0003-3961-7481"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meimei Zheng","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":"https://orcid.org/0000-0003-3961-7481","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073881354","display_name":"Tangbin Xia","orcid":"https://orcid.org/0000-0001-9121-1716"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangbin Xia","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121259418","display_name":"Ershun Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ershun Pan","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134625914","display_name":"Kan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kan Wu","raw_affiliation_strings":["Business Analytics Research Center, Chang Gung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business Analytics Research Center, Chang Gung University, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037131247"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":3570,"currency":"USD","value_usd":3570},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46003235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"104725","last_page":"104725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9212999939918518,"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":0.9212999939918518,"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/T10763","display_name":"Digital Transformation in Industry","score":0.00839999970048666,"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/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.006500000134110451,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7250999808311462},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.542900025844574},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5199999809265137},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4767000079154968},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4683000147342682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.429500013589859},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.38269999623298645}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7250999808311462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6761000156402588},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.542900025844574},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.515999972820282},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4683000147342682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.414900004863739},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.38269999623298645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522000014781952},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.aei.2026.104725","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.aei.2026.104725","pdf_url":null,"source":{"id":"https://openalex.org/S112141509","display_name":"Advanced Engineering Informatics","issn_l":"1474-0346","issn":["1474-0346","1873-5320"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Engineering Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5997028946876526}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1588382077","https://openalex.org/W2000099188","https://openalex.org/W2035047474","https://openalex.org/W2046437335","https://openalex.org/W2071301299","https://openalex.org/W2116341502","https://openalex.org/W2122736695","https://openalex.org/W2145339207","https://openalex.org/W2260286117","https://openalex.org/W2561816553","https://openalex.org/W2746553466","https://openalex.org/W3006275750","https://openalex.org/W3021534971","https://openalex.org/W3034462283","https://openalex.org/W3082377584","https://openalex.org/W3129284800","https://openalex.org/W4205926948","https://openalex.org/W4242425417","https://openalex.org/W4282946405","https://openalex.org/W4285024875","https://openalex.org/W4297964528","https://openalex.org/W4304692597","https://openalex.org/W4308487886","https://openalex.org/W4321021033","https://openalex.org/W4377289056","https://openalex.org/W4377695412","https://openalex.org/W4385678974","https://openalex.org/W4385779370","https://openalex.org/W4386088253","https://openalex.org/W4386590783","https://openalex.org/W4386713752","https://openalex.org/W4386959364","https://openalex.org/W4388088957","https://openalex.org/W4388281316","https://openalex.org/W4390280385","https://openalex.org/W4390368000","https://openalex.org/W4391469576","https://openalex.org/W4393152608","https://openalex.org/W4394590207","https://openalex.org/W4394884334","https://openalex.org/W4396951094","https://openalex.org/W4400914215","https://openalex.org/W4401740375","https://openalex.org/W4404839448","https://openalex.org/W4404908309","https://openalex.org/W4405137336","https://openalex.org/W4405415020","https://openalex.org/W4405856511","https://openalex.org/W4405941844","https://openalex.org/W4406133538","https://openalex.org/W4408394461","https://openalex.org/W4409117466","https://openalex.org/W4410219236","https://openalex.org/W4410641678","https://openalex.org/W4411047319","https://openalex.org/W4411220502","https://openalex.org/W4413922798","https://openalex.org/W4414171715","https://openalex.org/W7118203673","https://openalex.org/W7131824781","https://openalex.org/W7135086016","https://openalex.org/W7138297377"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-04-27T00:00:00"}