{"id":"https://openalex.org/W4408839922","doi":"https://doi.org/10.1111/coin.70048","title":"Reinforcement Learning Driven Cross\u2010Trained Worker Assignment Approach Based on Big Models: A Study for A Hybrid Seru Production System Considering Learning Effect","display_name":"Reinforcement Learning Driven Cross\u2010Trained Worker Assignment Approach Based on Big Models: A Study for A Hybrid Seru Production System Considering Learning Effect","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4408839922","doi":"https://doi.org/10.1111/coin.70048"},"language":"en","primary_location":{"id":"doi:10.1111/coin.70048","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70048","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70048","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70048","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029936909","display_name":"Taixin Li","orcid":"https://orcid.org/0000-0003-2836-2647"},"institutions":[{"id":"https://openalex.org/I130480701","display_name":"Dongbei University of Finance and Economics","ror":"https://ror.org/05db1pj03","country_code":"CN","type":"education","lineage":["https://openalex.org/I130480701"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taixin Li","raw_affiliation_strings":["School of Data Science and Artificial Intelligence Dongbei University of Finance and Economics  Dalian China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Artificial Intelligence Dongbei University of Finance and Economics  Dalian China","institution_ids":["https://openalex.org/I130480701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072878217","display_name":"Chenxi Ye","orcid":"https://orcid.org/0009-0006-1832-7425"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Ye","raw_affiliation_strings":["School of Accountancy Central University of Finance and Economics  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Accountancy Central University of Finance and Economics  Beijing China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504730","display_name":"Lang Wu","orcid":"https://orcid.org/0000-0003-3756-3731"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lang Wu","raw_affiliation_strings":["College of Management Shenzhen University  Shenzhen China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management Shenzhen University  Shenzhen China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746707","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0001-8773-0775"},"institutions":[{"id":"https://openalex.org/I130480701","display_name":"Dongbei University of Finance and Economics","ror":"https://ror.org/05db1pj03","country_code":"CN","type":"education","lineage":["https://openalex.org/I130480701"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["School of Management Science and Engineering Dongbei University of Finance and Economics  Dalian China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering Dongbei University of Finance and Economics  Dalian China","institution_ids":["https://openalex.org/I130480701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040141770","display_name":"Chengxiao Yu","orcid":"https://orcid.org/0000-0002-9340-4164"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengxiao Yu","raw_affiliation_strings":["Pengcheng Laboratory  Shenzhen China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory  Shenzhen China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040141770","https://openalex.org/A5101504730"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210136793"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.9829,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75325025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"41","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9811999797821045,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9761000275611877,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.797911524772644},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.6793600916862488},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5926822423934937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5664122700691223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.530376672744751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4466983675956726},{"id":"https://openalex.org/keywords/learning-effect","display_name":"Learning effect","score":0.4284174144268036},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20179954171180725},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08413812518119812}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.797911524772644},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.6793600916862488},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5926822423934937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5664122700691223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.530376672744751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4466983675956726},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.4284174144268036},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20179954171180725},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08413812518119812},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/coin.70048","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70048","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70048","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1111/coin.70048","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70048","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70048","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1778134435","display_name":null,"funder_award_id":"2024\u2010MS\u2010176","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G274747181","display_name":null,"funder_award_id":"72372019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408839922.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1575410296","https://openalex.org/W1973185292","https://openalex.org/W2126105956","https://openalex.org/W2145339207","https://openalex.org/W2582278447","https://openalex.org/W2764251381","https://openalex.org/W2768739795","https://openalex.org/W2787251336","https://openalex.org/W2820888478","https://openalex.org/W2912220196","https://openalex.org/W2919115771","https://openalex.org/W2975881734","https://openalex.org/W3002239905","https://openalex.org/W3007430882","https://openalex.org/W3009389630","https://openalex.org/W3045574728","https://openalex.org/W3128766876","https://openalex.org/W3133110488","https://openalex.org/W3171873908","https://openalex.org/W3174108026","https://openalex.org/W3178264531","https://openalex.org/W3194871405","https://openalex.org/W3201000358","https://openalex.org/W4205996667","https://openalex.org/W4220860306","https://openalex.org/W4220966002","https://openalex.org/W4223536612","https://openalex.org/W4225469647","https://openalex.org/W4247630529","https://openalex.org/W4281703002","https://openalex.org/W4308571246","https://openalex.org/W4323706279","https://openalex.org/W4367318997","https://openalex.org/W4367595583","https://openalex.org/W4377141886","https://openalex.org/W4383199442","https://openalex.org/W4385164285","https://openalex.org/W4386318401","https://openalex.org/W4387341447","https://openalex.org/W4390324363","https://openalex.org/W4390483144","https://openalex.org/W4401406928","https://openalex.org/W4401541341","https://openalex.org/W4402041046","https://openalex.org/W4404522470"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"ABSTRACT":[0],"As":[1],"manufacturing":[2,92],"faces":[3],"evolving":[4],"customer":[5],"demands,":[6],"the":[7,25,40,75,122,136,144,148,155,174],"integration":[8],"of":[9,12,43,77,124,138,147,176],"Industrial":[10],"Internet":[11],"Things":[13],"(IIoT)":[14],"networks":[15],"is":[16],"crucial":[17],"for":[18,99,115,162],"enhancing":[19],"production":[20,36],"flexibility.":[21],"In":[22],"this":[23,129],"context,":[24],"Seru":[26],"Production":[27],"System":[28],"(SPS)":[29],"has":[30],"emerged":[31,89],"as":[32],"a":[33,58],"highly":[34],"adaptable":[35],"mode":[37],"and":[38,52,69,103,165],"emphasizes":[39],"strategic":[41],"assignment":[42],"cross\u2010trained":[44],"workers,":[45],"particularly":[46],"in":[47,90],"hybrid":[48,177],"configurations":[49],"combining":[50],"divisional":[51],"rotating":[53],"serus.":[54],"This":[55,110],"paper":[56],"proposes":[57],"novel":[59],"bi\u2010objective":[60,149],"mathematical":[61],"model":[62],"incorporating":[63],"learning":[64,98,106,133],"effects":[65],"to":[66,107,134],"minimize":[67],"makespan":[68],"balance":[70],"workloads":[71],"among":[72],"workers.":[73],"With":[74],"development":[76],"Artificial":[78],"Intelligence":[79],"Generated":[80],"Content":[81],"(AIGC)":[82],"empowered":[83],"big":[84,126],"models,":[85],"new":[86],"breakthroughs":[87],"have":[88],"industrial":[91],"decision\u2010making.":[93],"These":[94],"models":[95,127],"utilize":[96],"deep":[97],"foundational":[100],"content":[101],"processing":[102],"leverage":[104],"reinforcement":[105,132],"optimize":[108],"strategies.":[109],"process":[111],"provides":[112,159],"robust":[113],"support":[114],"achieving":[116],"efficient":[117],"decision":[118],"optimization.":[119],"Building":[120],"on":[121],"concepts":[123],"AIGC":[125],"training,":[128],"study":[130],"employs":[131],"refine":[135],"results":[137,152],"multi\u2010objective":[139],"genetic":[140],"algorithms,":[141],"thereby":[142],"improving":[143],"solution":[145],"capability":[146],"model.":[150],"Experimental":[151],"demonstrate":[153],"that":[154],"proposed":[156],"algorithm":[157],"effectively":[158],"optimal":[160],"strategies":[161],"tuning":[163],"crossover":[164],"mutation":[166],"operations.":[167],"Additionally,":[168],"numerical":[169],"experiments":[170],"offer":[171],"insights":[172],"into":[173],"formation":[175],"SPS":[178],"configurations.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
