{"id":"https://openalex.org/W7140191293","doi":"https://doi.org/10.1109/tase.2026.3677252","title":"Data-Driven Hierarchical Decision-Making Modeling for Complex Industrial Processes","display_name":"Data-Driven Hierarchical Decision-Making Modeling for Complex Industrial Processes","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140191293","doi":"https://doi.org/10.1109/tase.2026.3677252"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2026.3677252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3677252","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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":null,"display_name":"Shengbo Hong","orcid":"https://orcid.org/0009-0002-2578-8896"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengbo Hong","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wen Yu","orcid":"https://orcid.org/0000-0002-9540-7924"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Wen Yu","raw_affiliation_strings":["Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tianyou Chai","orcid":"https://orcid.org/0000-0002-4623-1483"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyou Chai","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76287769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"7222","last_page":"7240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.0940999984741211,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.0940999984741211,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.066600002348423,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.05009999871253967,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5746999979019165},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.536300003528595},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46140000224113464},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4156000018119812},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4138999879360199},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.37439998984336853},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.36570000648498535},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3573000133037567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025000214576721},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4138999879360199},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36329999566078186},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3269999921321869},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3253999948501587},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.30559998750686646},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29789999127388},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.27149999141693115},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C55396564","wikidata":"https://www.wikidata.org/wiki/Q3084971","display_name":"Process design","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2026.3677252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3677252","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5803238749504089,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G421643896","display_name":null,"funder_award_id":"2024YFB3309700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5620550699","display_name":null,"funder_award_id":"2023JH26/10200011","funder_id":"https://openalex.org/F4320336742","funder_display_name":"Key Research and Development Program of Liaoning Province"},{"id":"https://openalex.org/G5898287775","display_name":null,"funder_award_id":"61991404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6486520368","display_name":null,"funder_award_id":"LLL23ZZ-05-01","funder_id":"https://openalex.org/F4320328881","funder_display_name":"Key Research Project of Liaoning"},{"id":"https://openalex.org/G8294999753","display_name":null,"funder_award_id":"2024JH1/11700048","funder_id":"https://openalex.org/F4320335965","funder_display_name":"Science and Technology Major Project of Guangxi"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328881","display_name":"Key Research Project of Liaoning","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335965","display_name":"Science and Technology Major Project of Guangxi","ror":null},{"id":"https://openalex.org/F4320336742","display_name":"Key Research and Development Program of Liaoning Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"decision-making":[1],"for":[2,8,161],"complex":[3,162],"industrial":[4,163],"processes":[5],"is":[6,48],"essential":[7],"improving":[9],"resource":[10],"utilization":[11],"and":[12,30,38,40,86,120,137,153],"optimizing":[13],"operating":[14],"conditions.":[15],"However,":[16],"current":[17],"decision":[18],"work-flows":[19],"operate":[20],"within":[21],"a":[22,76,90,122],"hierarchical":[23],"closed":[24],"loop":[25],"between":[26],"the":[27,31,46,65,139,157],"operations":[28],"layer":[29],"process-control":[32],"layer.":[33],"Cross-layer":[34],"transmission":[35],"of":[36,159],"objectives":[37,55],"constraints":[39,57],"feedback":[41],"coupling":[42],"can":[43],"degrade":[44],"performance;":[45],"effect":[47],"pronounced":[49],"under":[50],"nonstationary":[51],"conditions":[52],"or":[53,56],"when":[54],"change.":[58],"To":[59],"address":[60],"these":[61],"challenges,":[62],"we":[63],"propose":[64],"Bi-level":[66],"Evolving":[67],"Neural":[68],"Networks":[69],"(BENNs)":[70],"framework":[71],"with":[72],"four":[73],"components:":[74],"(i)":[75],"bi-level":[77],"neural":[78,92],"architecture":[79],"that":[80,97,111,127],"explicitly":[81],"models":[82],"cross-layer":[83],"information":[84],"flow":[85],"constraint":[87],"propagation;":[88],"(ii)":[89],"graph":[91],"network-based":[93],"structural":[94],"similarity":[95],"assessment":[96],"reduces":[98],"redundant":[99],"evaluations":[100],"to":[101,114],"improve":[102],"search":[103],"quality;":[104],"(iii)":[105],"an":[106],"online":[107],"evolving":[108],"network":[109],"strategy":[110],"adapts":[112],"rapidly":[113],"process":[115],"dynamics":[116],"without":[117],"extensive":[118],"retraining;":[119],"(iv)":[121],"convex-hull":[123],"knee-point-based":[124],"compromise":[125],"selection":[126],"encodes":[128],"engineering":[129],"preferences.":[130],"Experiments":[131],"on":[132,138],"real":[133],"mineral":[134],"processing":[135],"data":[136],"Tennessee":[140],"Eastman":[141],"Process":[142],"(TEP)":[143],"show":[144],"improvements":[145],"over":[146],"baselines":[147],"in":[148],"prediction":[149],"accuracy,":[150],"performance":[151],"retention,":[152],"adaptation":[154],"speed,":[155],"demonstrating":[156],"potential":[158],"BENNs":[160],"settings.":[164]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-25T00:00:00"}