{"id":"https://openalex.org/W3176566524","doi":"https://doi.org/10.1080/00207543.2021.1942283","title":"Learning per-machine linear dispatching rule for heterogeneous multi-machines control","display_name":"Learning per-machine linear dispatching rule for heterogeneous multi-machines control","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3176566524","doi":"https://doi.org/10.1080/00207543.2021.1942283","mag":"3176566524"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.1942283","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1942283","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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/A5034533694","display_name":"Namyong Kim","orcid":"https://orcid.org/0000-0002-0572-9146"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Namyong Kim","raw_affiliation_strings":["Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000746867","display_name":"Stephane Barde","orcid":"https://orcid.org/0000-0001-5723-9037"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Stephane Barde","raw_affiliation_strings":["Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076343428","display_name":"Kiwook Bae","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kiwook Bae","raw_affiliation_strings":["Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064587334","display_name":"Hayong Shin","orcid":"https://orcid.org/0000-0002-5161-661X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hayong Shin","raw_affiliation_strings":["Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064587334"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.7791,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86859082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"61","issue":"1","first_page":"162","last_page":"182"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6494622230529785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5872282981872559},{"id":"https://openalex.org/keywords/tardiness","display_name":"Tardiness","score":0.5772067904472351},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.56410151720047},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5105322599411011},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.474576473236084},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4659719467163086},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45116403698921204},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.43610039353370667},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.43456536531448364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38906019926071167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3879382610321045},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.36407670378685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1535417139530182}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6494622230529785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872282981872559},{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.5772067904472351},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.56410151720047},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5105322599411011},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.474576473236084},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4659719467163086},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45116403698921204},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.43610039353370667},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.43456536531448364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38906019926071167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3879382610321045},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.36407670378685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1535417139530182},{"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:10.1080/00207543.2021.1942283","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1942283","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:1:p:162-182","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.1942283","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1576818901","https://openalex.org/W1591718737","https://openalex.org/W1797125234","https://openalex.org/W1814515812","https://openalex.org/W1971586626","https://openalex.org/W2003746847","https://openalex.org/W2023002456","https://openalex.org/W2026153697","https://openalex.org/W2033466247","https://openalex.org/W2041489433","https://openalex.org/W2069641426","https://openalex.org/W2078533235","https://openalex.org/W2086018757","https://openalex.org/W2101761886","https://openalex.org/W2119924737","https://openalex.org/W2134835870","https://openalex.org/W2137104525","https://openalex.org/W2146502635","https://openalex.org/W2151965738","https://openalex.org/W2166858694","https://openalex.org/W2183737160","https://openalex.org/W2275596639","https://openalex.org/W2590959390","https://openalex.org/W2596367596","https://openalex.org/W2605575499","https://openalex.org/W2783411131","https://openalex.org/W3008008351","https://openalex.org/W3036568639","https://openalex.org/W3039742958","https://openalex.org/W3115962025","https://openalex.org/W3133110488","https://openalex.org/W3171580098","https://openalex.org/W4247245376","https://openalex.org/W4255595510","https://openalex.org/W6601339270","https://openalex.org/W6697332471"],"related_works":["https://openalex.org/W1999247335","https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W2581804104","https://openalex.org/W2023290140","https://openalex.org/W2366500717","https://openalex.org/W4386768659","https://openalex.org/W4247394286","https://openalex.org/W1510683582"],"abstract_inverted_index":{"This":[0,140],"paper":[1],"proposes":[2],"a":[3,27,34,38,50,63,78,113,178],"per-machine":[4,117],"linear":[5,128],"dispatching":[6,35,52,80,100,118,129],"rule":[7,36,101,119,130],"learning":[8,120],"approach":[9,40,92,159,191],"to":[10,48,148,163],"improve":[11],"the":[12,72,87,98,135,173,189],"scheduling":[13],"of":[14,26,71],"re-entrant":[15,182],"flow":[16,183],"shop":[17],"such":[18,152],"as":[19,37,62,153],"semiconductor":[20],"fab.":[21],"Finding":[22],"an":[23,54,91],"optimal":[24,99],"schedule":[25],"complex":[28],"manufacturing":[29],"system":[30],"is":[31,41,102,132,142],"intractable;":[32],"hence,":[33],"heuristic":[39],"widely":[42,193],"used":[43,194],"in":[44,82,122],"actual":[45],"practice.":[46],"Also,":[47],"develop":[49],"good":[51],"rule,":[53,81],"automated":[55],"methodology":[56],"for":[57],"developing":[58],"heuristics,":[59],"also":[60],"known":[61],"hyper-heuristic,":[64],"has":[65,74,126],"been":[66],"studied":[67],"extensively.":[68],"However,":[69],"most":[70],"literature":[73],"focused":[75],"on":[76,104,168,177],"finding":[77],"single-sophisticated":[79],"which":[83,123],"every":[84],"machine":[85,125],"uses":[86],"same":[88],"rule.":[89],"Such":[90],"often":[93],"shows":[94],"suboptimal":[95],"performance":[96],"when":[97],"different":[103],"each":[105,124],"machine.":[106],"To":[107],"solve":[108],"this":[109],"problem,":[110],"we":[111],"introduce":[112],"simple":[114],"and":[115,144,172,180],"effective":[116],"approach,":[121],"one":[127],"that":[131,188],"optimised":[133],"by":[134],"Gradient-based":[136],"Evolutionary":[137],"Strategy":[138],"(GES).":[139],"method":[141],"sample-efficient":[143],"can":[145],"be":[146],"applied":[147],"non-differentiable":[149],"objective":[150],"functions":[151],"average":[154],"Cycle":[155],"Time.":[156],"The":[157],"proposed":[158,190],"was":[160],"mainly":[161],"compared":[162],"two":[164],"popular":[165],"methods":[166],"based":[167],"Genetic":[169,174],"Programming":[170],"(GP)":[171],"Algorithm":[175],"(GA)":[176],"four-station":[179],"eight-machine":[181],"shop.":[184],"Numerical":[185],"results":[186],"show":[187],"outperforms":[192],"methods.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}