{"id":"https://openalex.org/W4390963919","doi":"https://doi.org/10.1007/s10845-023-02307-w","title":"Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing","display_name":"Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing","publication_year":2024,"publication_date":"2024-01-18","ids":{"openalex":"https://openalex.org/W4390963919","doi":"https://doi.org/10.1007/s10845-023-02307-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-023-02307-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02307-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02307-w.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02307-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059720012","display_name":"Giulio Mattera","orcid":"https://orcid.org/0000-0001-8686-1474"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giulio Mattera","raw_affiliation_strings":["Department of Chemical, Materials and Production Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical, Materials and Production Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024010978","display_name":"Alessandra Caggiano","orcid":"https://orcid.org/0000-0003-3930-7344"},"institutions":[{"id":"https://openalex.org/I4210104565","display_name":"Fraunhofer Italia Research","ror":"https://ror.org/015hz7767","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210104565","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandra Caggiano","raw_affiliation_strings":["Center for Advanced Metrological and Technological Services (CESMA), University of Naples Federico II, Corso Nicolangelo Protopisani 70, 80146, Naples, Italy","Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology (FhJ_LEAPT UniNaples), P.le Tecchio 80, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Metrological and Technological Services (CESMA), University of Naples Federico II, Corso Nicolangelo Protopisani 70, 80146, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology (FhJ_LEAPT UniNaples), P.le Tecchio 80, 80125, Naples, Italy","institution_ids":["https://openalex.org/I4210104565"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000165526","display_name":"Luigi Nele","orcid":"https://orcid.org/0000-0001-8562-7934"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Nele","raw_affiliation_strings":["Department of Chemical, Materials and Production Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Chemical, Materials and Production Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059720012"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":17.8974,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.99627353,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"2","first_page":"1291","last_page":"1310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9243000149726868,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9243000149726868,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9186999797821045,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7706161737442017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6088899970054626},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5536643862724304},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5531119108200073},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.517658531665802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5079265236854553},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5008544921875},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4175395965576172},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3696061372756958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35872989892959595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33209481835365295}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7706161737442017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6088899970054626},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5536643862724304},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5531119108200073},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.517658531665802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5079265236854553},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5008544921875},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4175395965576172},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3696061372756958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35872989892959595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33209481835365295},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":3,"locations":[{"id":"doi:10.1007/s10845-023-02307-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02307-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02307-w.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:joinma:v:36:y:2025:i:2:d:10.1007_s10845-023-02307-w","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-023-02307-w","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:iris.uniroma3.it:11590/491675","is_oa":false,"landing_page_url":"https://hdl.handle.net/11590/491675","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10845-023-02307-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02307-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02307-w.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309590","display_name":"Universit\u00e0 degli Studi di Napoli Federico II","ror":"https://ror.org/05290cv24"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390963919.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1506185406","https://openalex.org/W1533861849","https://openalex.org/W1575592356","https://openalex.org/W1970050918","https://openalex.org/W1982514318","https://openalex.org/W2024983996","https://openalex.org/W2041176007","https://openalex.org/W2042455909","https://openalex.org/W2061872918","https://openalex.org/W2064700954","https://openalex.org/W2074188845","https://openalex.org/W2088288066","https://openalex.org/W2106112856","https://openalex.org/W2119717200","https://openalex.org/W2134935236","https://openalex.org/W2139160917","https://openalex.org/W2144519176","https://openalex.org/W2145339207","https://openalex.org/W2155889930","https://openalex.org/W2173248099","https://openalex.org/W2561985357","https://openalex.org/W2580909119","https://openalex.org/W2604960773","https://openalex.org/W2738109916","https://openalex.org/W2746553466","https://openalex.org/W2749604329","https://openalex.org/W2781726626","https://openalex.org/W2787938642","https://openalex.org/W2788417086","https://openalex.org/W2822752092","https://openalex.org/W2885101016","https://openalex.org/W2887955127","https://openalex.org/W2993250595","https://openalex.org/W2997569150","https://openalex.org/W3016512554","https://openalex.org/W3025562322","https://openalex.org/W3031673177","https://openalex.org/W3063823338","https://openalex.org/W3105806283","https://openalex.org/W3196549611","https://openalex.org/W4206220780","https://openalex.org/W4210415773","https://openalex.org/W4214717370","https://openalex.org/W4225546882","https://openalex.org/W4237591687","https://openalex.org/W4239141302","https://openalex.org/W4249282010","https://openalex.org/W4283323190","https://openalex.org/W4285247280","https://openalex.org/W4310541177","https://openalex.org/W4319221501","https://openalex.org/W4319985117","https://openalex.org/W4323314350","https://openalex.org/W4390055741","https://openalex.org/W6634359869","https://openalex.org/W6638018090","https://openalex.org/W6677916085","https://openalex.org/W6684205842","https://openalex.org/W6741002519"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W188202134","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W1027657725"],"abstract_inverted_index":{"Abstract":[0],"Nowadays,":[1],"artificial":[2],"intelligence":[3],"(AI)":[4],"has":[5,22],"become":[6],"a":[7,90,113,125,133,144,154,166,179,189],"crucial":[8],"Key":[9],"Enabling":[10],"Technology":[11],"with":[12,130,162],"extensive":[13],"application":[14,49,92],"in":[15,34,188],"diverse":[16],"industrial":[17,35,60,94],"sectors.":[18],"Recently,":[19],"considerable":[20],"focus":[21],"been":[23],"directed":[24],"towards":[25],"utilizing":[26],"AI":[27],"for":[28,53,88,93],"the":[29,54,86,122,149,174,186,195,201],"development":[30,101],"of":[31,56,102,148],"optimal":[32],"control":[33,55,81,107],"processes.":[36],"In":[37,83],"particular,":[38],"reinforcement":[39],"learning":[40],"(RL)":[41],"techniques":[42],"have":[43],"made":[44],"significant":[45],"advancements,":[46],"enabling":[47],"their":[48],"to":[50,74,132,164,173,184,193,197],"data-driven":[51,77],"problem-solving":[52],"complex":[57,76],"systems.":[58,82],"Since":[59],"manufacturing":[61,95,137],"processes":[62],"can":[63,71],"be":[64,72,198],"treated":[65],"as":[66],"MIMO":[67],"non-linear":[68],"systems,":[69],"RL":[70,91],"used":[73],"develop":[75],"intelligent":[78],"decision-making":[79],"or":[80],"this":[84],"work,":[85],"workflow":[87],"developing":[89,178],"processes,":[96],"including":[97],"reward":[98,116],"function":[99,117],"setup,":[100],"reduced":[103],"order":[104],"models":[105],"and":[106,112,153,192],"policy":[108],"construction,":[109],"is":[110,118,128,151,160,171],"addressed,":[111],"new":[114],"process-based":[115],"proposed.":[119],"To":[120],"showcase":[121],"proposed":[123],"approach,":[124],"case":[126],"study":[127],"developed":[129],"reference":[131],"wire":[134],"arc":[135],"additive":[136],"(WAAM)":[138],"process.":[139],"Based":[140],"on":[141,200],"experimental":[142],"tests,":[143],"Reduced":[145],"Order":[146],"Model":[147],"system":[150],"obtained":[152],"Deep":[155],"Deterministic":[156],"Policy":[157],"Gradient":[158],"Controller":[159],"trained":[161],"aim":[163],"produce":[165],"simple":[167],"geometry.":[168],"Particular":[169],"attention":[170],"given":[172],"sim-to-real":[175],"process":[176,187],"by":[177],"WAAM":[180],"simulator":[181],"which":[182],"allows":[183],"simulate":[185],"realistic":[190],"environment":[191],"generate":[194],"code":[196],"deployed":[199],"motion":[202],"platform":[203],"controller.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":13}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}