{"id":"https://openalex.org/W3008008351","doi":"https://doi.org/10.1080/00207543.2020.1727041","title":"A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems","display_name":"A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems","publication_year":2020,"publication_date":"2020-02-24","ids":{"openalex":"https://openalex.org/W3008008351","doi":"https://doi.org/10.1080/00207543.2020.1727041","mag":"3008008351"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2020.1727041","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1727041","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":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11250/2836015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101706047","display_name":"Cheng\u2010Hung Wu","orcid":"https://orcid.org/0000-0002-7312-2370"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Hung Wu","raw_affiliation_strings":["Institute of Industrial Engineering/ Dept. of Mechanical Engineering/ Dept. of Business Administration, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7312-2370","affiliations":[{"raw_affiliation_string":"Institute of Industrial Engineering/ Dept. of Mechanical Engineering/ Dept. of Business Administration, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039458974","display_name":"Fang-Yi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fang-Yi Zhou","raw_affiliation_strings":["Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108268766","display_name":"Chi-Kang Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Kang Tsai","raw_affiliation_strings":["Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090557216","display_name":"Cheng-Juei Yu","orcid":"https://orcid.org/0000-0002-7291-4165"},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Juei Yu","raw_affiliation_strings":["Institute for Information Industry, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Information Industry, Taipei, Taiwan","institution_ids":["https://openalex.org/I3141939062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028102263","display_name":"St\u00e9phane Dauz\u00e8re\u2010P\u00e9r\u00e8s","orcid":"https://orcid.org/0000-0002-3566-3248"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I181046868","display_name":"BI Norwegian Business School","ror":"https://ror.org/03ez40v33","country_code":"NO","type":"education","lineage":["https://openalex.org/I181046868"]},{"id":"https://openalex.org/I3019848993","display_name":"Mines Saint-\u00c9tienne","ror":"https://ror.org/05a1dws80","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993"]},{"id":"https://openalex.org/I4210099416","display_name":"Laboratoire d'Informatique, de Mod\u00e9lisation et d'Optimisation des Syst\u00e8mes","ror":"https://ror.org/00t3fpp34","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I198244214","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I4210123221","https://openalex.org/I4210159245","https://openalex.org/I4387154249"]}],"countries":["FR","NO"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Dauz\u00e8re-P\u00e9r\u00e8s","raw_affiliation_strings":["Department of Accounting, Auditing and Business Analytics, BI Norwegian Business School, Oslo, Norway","Department of Manufacturing Sciences and Logistics, Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Gardanne, France"],"raw_orcid":"https://orcid.org/0000-0002-3566-3248","affiliations":[{"raw_affiliation_string":"Department of Accounting, Auditing and Business Analytics, BI Norwegian Business School, Oslo, Norway","institution_ids":["https://openalex.org/I181046868"]},{"raw_affiliation_string":"Department of Manufacturing Sciences and Logistics, Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Gardanne, France","institution_ids":["https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101706047"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":3.9752,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93962431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"9","first_page":"2822","last_page":"2840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9962999820709229,"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":0.9962999820709229,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9632999897003174,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7060400247573853},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6855659484863281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219755411148071},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5759218335151672},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5375456809997559},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5147414207458496},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.495608925819397},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49315208196640015},{"id":"https://openalex.org/keywords/production-control","display_name":"Production control","score":0.48769840598106384},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4557506740093231},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.425396591424942},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38814979791641235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36311787366867065},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3321056067943573}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7060400247573853},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6855659484863281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219755411148071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5759218335151672},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5375456809997559},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5147414207458496},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.495608925819397},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49315208196640015},{"id":"https://openalex.org/C2780682718","wikidata":"https://www.wikidata.org/wiki/Q16321575","display_name":"Production control","level":3,"score":0.48769840598106384},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4557506740093231},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.425396591424942},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38814979791641235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36311787366867065},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3321056067943573},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/00207543.2020.1727041","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1727041","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:HAL:emse-02873705v1","is_oa":false,"landing_page_url":"https://hal-emse.ccsd.cnrs.fr/emse-02873705","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Production Research, 2020, 58 (9), pp.2822-2840. &#x27E8;10.1080/00207543.2020.1727041&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:58:y:2020:i:9:p:2822-2840","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2020.1727041","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"},{"id":"pmh:oai:biopen.bi.no:11250/2836015","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2836015","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2822-2840","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:biopen.bi.no:11250/2836015","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2836015","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2822-2840","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1408639475","https://openalex.org/W1964680067","https://openalex.org/W2026153697","https://openalex.org/W2028145591","https://openalex.org/W2029631728","https://openalex.org/W2030174405","https://openalex.org/W2032371818","https://openalex.org/W2035057469","https://openalex.org/W2047904670","https://openalex.org/W2064400708","https://openalex.org/W2068055355","https://openalex.org/W2079580250","https://openalex.org/W2092866163","https://openalex.org/W2095705004","https://openalex.org/W2104726122","https://openalex.org/W2110562768","https://openalex.org/W2111625864","https://openalex.org/W2120465407","https://openalex.org/W2130954568","https://openalex.org/W2137983211","https://openalex.org/W2146548553","https://openalex.org/W2156168464","https://openalex.org/W2161297030","https://openalex.org/W2167788072","https://openalex.org/W2334782222","https://openalex.org/W2341712626","https://openalex.org/W2411482316","https://openalex.org/W2516282628","https://openalex.org/W2555745781","https://openalex.org/W2767286248","https://openalex.org/W2784063545","https://openalex.org/W2921000597","https://openalex.org/W2949117887","https://openalex.org/W2987958376","https://openalex.org/W2993740710","https://openalex.org/W2996340976","https://openalex.org/W3125537303","https://openalex.org/W4247245376","https://openalex.org/W4298177619"],"related_works":["https://openalex.org/W2045348955","https://openalex.org/W2352028719","https://openalex.org/W2584886384","https://openalex.org/W2378667902","https://openalex.org/W2791088446","https://openalex.org/W2052769075","https://openalex.org/W4206808270","https://openalex.org/W2056766727","https://openalex.org/W4205805428","https://openalex.org/W2002614982"],"abstract_inverted_index":{"This":[0],"research":[1],"combines":[2],"deep":[3],"neural":[4],"network":[5],"(DNN)":[6],"and":[7,31,94,156],"Markov":[8],"decision":[9],"processes":[10],"(MDP)":[11],"for":[12,58,133],"the":[13,26,74,79,139,145,151,162,165,182],"dynamic":[14,32,59,70,130,147],"dispatching":[15,33,113],"of":[16,76,82,138,164,171,184],"re-entrant":[17,21],"production":[18,22,60],"systems.":[19],"In":[20],"systems,":[23],"jobs":[24],"enter":[25],"same":[27],"workstation":[28],"multiple":[29],"times":[30],"oftentimes":[34],"aims":[35],"to":[36,41,45,104],"dynamically":[37],"assign":[38],"different":[39,89],"priorities":[40],"various":[42],"job":[43],"groups":[44],"minimise":[46],"weighted":[47],"cycle":[48],"time":[49],"or":[50],"maximise":[51],"throughput.":[52],"MDP":[53,85],"is":[54,99,102,142,168],"an":[55],"effective":[56],"tool":[57],"control,":[61],"but":[62],"it":[63],"suffers":[64],"from":[65,111],"two":[66],"major":[67],"challenges":[68,107],"in":[69,173,188],"control":[71,131,148],"problems.":[72,86,135],"First,":[73],"curse":[75],"dimensionality":[77],"limits":[78],"computational":[80],"performance":[81,163],"solving":[83],"large":[84,134],"Second,":[87],"a":[88,121],"model":[90,125],"should":[91],"be":[92],"built":[93],"solved":[95],"after":[96],"system":[97],"configuration":[98],"changed.":[100],"DNN":[101,124,140,166],"used":[103],"overcome":[105],"both":[106,174],"by":[108,116],"learning":[109,186],"directly":[110],"optimal":[112,146,172],"policies":[114,132,149],"generated":[115],"MDP.":[117],"Results":[118],"suggest":[119],"that":[120],"properly":[122],"trained":[123],"can":[126],"instantly":[127],"generate":[128],"near-optimal":[129],"The":[136,176],"quality":[137],"solution":[141],"compared":[143],"with":[144],"through":[150],"standard":[152],"K-fold":[153],"cross-validation":[154],"test":[155],"discrete":[157],"event":[158],"simulation.":[159],"On":[160],"average,":[161],"policy":[167],"within":[169],"2%":[170],"tests.":[175],"proposed":[177],"artificial":[178],"intelligence":[179],"algorithm":[180],"illustrates":[181],"potential":[183],"machine":[185],"methods":[187],"manufacturing":[189],"applications.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
