{"id":"https://openalex.org/W4414462907","doi":"https://doi.org/10.1109/access.2025.3614061","title":"End-to-End Process Optimization in Polymer Extrusion Lines Using Model Predictive Control and Multi-Task Learning","display_name":"End-to-End Process Optimization in Polymer Extrusion Lines Using Model Predictive Control and Multi-Task Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414462907","doi":"https://doi.org/10.1109/access.2025.3614061"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3614061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3614061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3614061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031693988","display_name":"Raphael Hartner","orcid":"https://orcid.org/0000-0002-6431-2682"},"institutions":[{"id":"https://openalex.org/I103365165","display_name":"FH JOANNEUM University of Applied Sciences","ror":"https://ror.org/03kkbqm48","country_code":"AT","type":"education","lineage":["https://openalex.org/I103365165"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Raphael Hartner","raw_affiliation_strings":["Institute of Industrial Management, University of Applied Sciences FH JOANNEUM, Kapfenberg, Austria","Institute of Industrial Management, University of Applied Sciences FH Joanneum, Kapfenberg, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Management, University of Applied Sciences FH JOANNEUM, Kapfenberg, Austria","institution_ids":["https://openalex.org/I103365165"]},{"raw_affiliation_string":"Institute of Industrial Management, University of Applied Sciences FH Joanneum, Kapfenberg, Austria","institution_ids":["https://openalex.org/I103365165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020112103","display_name":"Martin Kozek","orcid":"https://orcid.org/0000-0003-0402-3309"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Kozek","raw_affiliation_strings":["Institute of Mechanics and Mechatronics, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Mechanics and Mechatronics, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108512347","display_name":"Stefan Jakubek","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Jakubek","raw_affiliation_strings":["Institute of Mechanics and Mechatronics, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Mechanics and Mechatronics, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031693988"],"corresponding_institution_ids":["https://openalex.org/I103365165"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6233,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93518379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"168344","last_page":"168360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9937999844551086,"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":0.9937999844551086,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9437000155448914,"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/T12080","display_name":"Injection Molding Process and Properties","score":0.9185000061988831,"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/model-predictive-control","display_name":"Model predictive control","score":0.8637999892234802},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5277000069618225},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5060999989509583},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4593000113964081},{"id":"https://openalex.org/keywords/extrusion","display_name":"Extrusion","score":0.44699999690055847},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41350001096725464},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4050999879837036},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3538999855518341},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.34610000252723694}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.8637999892234802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5277000069618225},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5060999989509583},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4593000113964081},{"id":"https://openalex.org/C2778958987","wikidata":"https://www.wikidata.org/wiki/Q139143","display_name":"Extrusion","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C97103648","wikidata":"https://www.wikidata.org/wiki/Q2738101","display_name":"Plastics extrusion","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.3181999921798706},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C115952470","wikidata":"https://www.wikidata.org/wiki/Q332172","display_name":"Process optimization","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C55396564","wikidata":"https://www.wikidata.org/wiki/Q3084971","display_name":"Process design","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C12302492","wikidata":"https://www.wikidata.org/wiki/Q1752097","display_name":"Setpoint","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C192097918","wikidata":"https://www.wikidata.org/wiki/Q917714","display_name":"Scrap","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3614061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3614061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:570b57b415d7403eb8bfcd50dc9648ed","is_oa":true,"landing_page_url":"https://doaj.org/article/570b57b415d7403eb8bfcd50dc9648ed","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 168344-168360 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3614061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3614061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1986609085","https://openalex.org/W1994615074","https://openalex.org/W1996909547","https://openalex.org/W2005660297","https://openalex.org/W2006260398","https://openalex.org/W2024622259","https://openalex.org/W2055032477","https://openalex.org/W2067367945","https://openalex.org/W2330098842","https://openalex.org/W2513445303","https://openalex.org/W2794933040","https://openalex.org/W2806876439","https://openalex.org/W2908601857","https://openalex.org/W3015977716","https://openalex.org/W3046081386","https://openalex.org/W3082005737","https://openalex.org/W3106482466","https://openalex.org/W3148417208","https://openalex.org/W3154406111","https://openalex.org/W3180102478","https://openalex.org/W3196497422","https://openalex.org/W3210813680","https://openalex.org/W4307040602","https://openalex.org/W4315777282","https://openalex.org/W4318003302","https://openalex.org/W4383213778","https://openalex.org/W4385342438","https://openalex.org/W4385452078","https://openalex.org/W4387549544","https://openalex.org/W4388918889","https://openalex.org/W4390284869","https://openalex.org/W4392902188","https://openalex.org/W4392936942","https://openalex.org/W4400257991","https://openalex.org/W4400946270","https://openalex.org/W4402943247","https://openalex.org/W4403534899","https://openalex.org/W4403764297","https://openalex.org/W4408860405","https://openalex.org/W4409702504","https://openalex.org/W4409744631","https://openalex.org/W4410500623","https://openalex.org/W4413134386"],"related_works":[],"abstract_inverted_index":{"Due":[0,99],"to":[1,21,30,100,103,109,187,212,251,264],"the":[2,43,73,112,138,244],"inherent":[3],"complexity":[4],"of":[5,46,182,222,232],"modern":[6],"polymer":[7,158],"extrusion":[8,47,75,159,253],"lines":[9,48],"caused":[10],"by":[11,196,209],"nonlinear,":[12],"dynamic":[13],"behavior":[14],"with":[15],"numerous":[16],"influential":[17],"factors,":[18],"disturbances":[19],"lead":[20],"higher":[22],"scrap":[23],"rates":[24],"and":[25,38,49,67,81,96,145,168,204,234,261],"downtimes.":[26],"Unfortunately,":[27],"conventional":[28],"approaches":[29],"address":[31,256],"this":[32],"challenge":[33],"rely":[34],"on":[35,64,86,130,156],"independent":[36],"models":[37],"local":[39,78,147],"control":[40,61,79,140,148,152,249],"loops,":[41],"neglecting":[42],"multistage":[44],"characteristic":[45],"therefore,":[50],"cannot":[51],"obtain":[52],"a":[53,59,65,242],"global":[54,143],"optimum.":[55],"Consequently,":[56],"we":[57],"propose":[58],"predictive":[60,118,248],"design":[62,153],"based":[63,129],"nonlinear":[66],"autoregressive":[68],"multi-task":[69],"learning":[70],"model":[71,117],"covering":[72],"entire":[74],"line":[76],"including":[77],"loops":[80],"essential":[82],"quality":[83,217],"measurements.":[84],"Training":[85],"an":[87,122],"extended":[88],"prediction":[89,94],"horizon":[90],"successfully":[91,194],"addresses":[92],"accumulating":[93],"errors":[95],"measurement":[97],"noise.":[98],"its":[101,238],"capability":[102],"predict":[104],"state":[105],"trajectories":[106,133],"for":[107,125,247],"up":[108],"60":[110],"minutes,":[111],"proposed":[113,151,245],"methodology":[114,246],"enables":[115],"effective":[116],"control.":[119],"Additionally,":[120],"using":[121],"efficient":[123,146,266],"method":[124],"adaptive":[126],"error":[127,132],"compensation":[128],"previous":[131],"increases":[134],"robustness":[135],"substantially":[136],"while":[137,229],"hierarchical":[139],"architecture":[141],"supports":[142],"optimization":[144],"loops.":[149],"The":[150,161],"is":[154],"validated":[155],"two":[157],"lines.":[160],"results":[162,228],"show":[163],"that":[164],"changing":[165],"operating":[166],"points":[167],"optimizing":[169],"process":[170,183,205],"states,":[171],"such":[172],"as":[173],"melt":[174],"temperature,":[175],"can":[176],"be":[177],"reliably":[178],"achieved":[179],"in":[180,259],"spite":[181],"disturbances.":[184],"In":[185],"comparison":[186],"baseline":[188],"production":[189],"periods,":[190],"dominant":[191],"oscillations":[192],"are":[193,201,207],"damped":[195],"62":[197],"%,":[198],"reference":[199],"values":[200],"closely":[202],"followed":[203],"variations":[206],"reduced":[208],"41":[210],"%":[211,214],"63":[213],"improving":[215],"product":[216],"notably.":[218],"A":[219],"comparative":[220],"analysis":[221],"disturbance":[223],"rejection":[224],"capabilities":[225],"shows":[226],"superior":[227],"empirical":[230],"analyses":[231],"stability":[233],"runtime":[235],"further":[236],"improve":[237],"closed-loop":[239],"applicability.":[240],"As":[241],"consequence,":[243],"allows":[250],"steer":[252],"processes":[254],"accurately,":[255],"upcoming":[257],"issues":[258],"advance":[260],"generally":[262],"leads":[263],"more":[265],"processes.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}