{"id":"https://openalex.org/W3205307358","doi":"https://doi.org/10.1109/indin45523.2021.9557389","title":"Learning-based Edge Computing Architecture for Regional Scheduling in Manufacturing System","display_name":"Learning-based Edge Computing Architecture for Regional Scheduling in Manufacturing System","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3205307358","doi":"https://doi.org/10.1109/indin45523.2021.9557389","mag":"3205307358"},"language":"en","primary_location":{"id":"doi:10.1109/indin45523.2021.9557389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45523.2021.9557389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-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/A5085681497","display_name":"Tianfang Xue","orcid":"https://orcid.org/0000-0002-6383-1448"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianfang Xue","raw_affiliation_strings":["Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005866333","display_name":"Peng Zeng","orcid":"https://orcid.org/0000-0002-3904-9245"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zeng","raw_affiliation_strings":["Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383565","display_name":"Haibin Yu","orcid":"https://orcid.org/0000-0002-1663-2956"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Yu","raw_affiliation_strings":["Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation Chinese Academy of Sciences,Lab. of Networked Control Systems,Shenyang,China,110016","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085681497"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1483,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5637726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9912999868392944,"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":0.9912999868392944,"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":0.9897000193595886,"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":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.7798868417739868},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7300491333007812},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6929971575737},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6836628913879395},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6534969210624695},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5118881464004517},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.47840628027915955},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4463488459587097},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43535804748535156},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4325750172138214},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4100602865219116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21758127212524414},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1803150177001953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10024529695510864},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.07580938935279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798868417739868},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7300491333007812},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6929971575737},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6836628913879395},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6534969210624695},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5118881464004517},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.47840628027915955},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4463488459587097},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43535804748535156},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4325750172138214},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4100602865219116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21758127212524414},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1803150177001953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10024529695510864},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.07580938935279846},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin45523.2021.9557389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45523.2021.9557389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W198433012","https://openalex.org/W1718306640","https://openalex.org/W1904065432","https://openalex.org/W2000630887","https://openalex.org/W2068327330","https://openalex.org/W2262390119","https://openalex.org/W2416799949","https://openalex.org/W2522550505","https://openalex.org/W2562973561","https://openalex.org/W2767231743","https://openalex.org/W2786772278","https://openalex.org/W2793058325","https://openalex.org/W2798885736","https://openalex.org/W6608077031","https://openalex.org/W6731060243","https://openalex.org/W6748718446","https://openalex.org/W6749460596"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W3214037210"],"abstract_inverted_index":{"This":[0,16],"paper":[1],"proposes":[2],"a":[3,112,120],"novel":[4],"edge-computing":[5],"based":[6],"structure":[7,17],"to":[8,35,81,98,119,138,161],"support":[9],"learning-based":[10],"decision-making":[11],"in":[12,110,126,177],"industry":[13],"manufacturing":[14,48],"field.":[15],"consists":[18],"of":[19,39,92,133,142],"four":[20],"functional":[21],"layers,":[22],"respectively":[23],"realizing":[24],"model":[25],"establishment,":[26],"task":[27,30,50],"allocation":[28],"and":[29,101,165],"processing":[31],"work.":[32],"In":[33],"order":[34],"take":[36],"full":[37],"advantage":[38],"the":[40,45,47,59,77,82,86,147],"distributed":[41,121,154],"computing":[42,49,61,90,129,156],"resources":[43],"at":[44],"edge,":[46],"can":[51,158],"be":[52,159],"further":[53],"decomposed":[54],"into":[55,67],"several":[56],"sub-tasks,":[57],"separating":[58],"complex":[60],"problem":[62,65,74,115],"with":[63,71,173],"large":[64],"size":[66],"regional":[68],"scheduling":[69,114],"ones":[70],"much":[72,167],"smaller":[73],"size.":[75],"All":[76],"sub-tasks":[78],"are":[79],"allocated":[80],"edges,":[83],"accomplished":[84],"by":[85],"algorithm":[87],"deployed":[88],"on":[89],"devices":[91],"region-related":[93],"edge":[94,128,135,155],"node,":[95],"which":[96,111],"contributes":[97],"faster":[99,168],"data-processing":[100],"problem-solving":[102],"speed.":[103],"A":[104],"simulation":[105],"test":[106],"has":[107],"been":[108],"performed":[109],"multi-AGV":[113],"was":[116],"solved":[117],"according":[118],"reinforcement":[122],"learning":[123],"method":[124,175],"configured":[125],"such":[127],"architecture.":[130,179],"The":[131],"objective":[132],"each":[134],"node":[136],"is":[137,171],"acquire":[139],"AGV":[140],"schedule":[141],"related":[143],"region":[144],"that":[145,152],"minimizes":[146],"makespan.":[148],"Simulation":[149],"results":[150],"demonstrate":[151],"this":[153],"system":[157],"enabled":[160],"learn":[162],"satisfying":[163],"solution":[164],"converge":[166],"when":[169],"it":[170],"compared":[172],"conventional":[174],"applied":[176],"centralized":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
