{"id":"https://openalex.org/W4416707377","doi":"https://doi.org/10.1109/tcyb.2025.3634438","title":"Robust Hot Rolling Production Scheduling Under Carbon Tax Regulation","display_name":"Robust Hot Rolling Production Scheduling Under Carbon Tax Regulation","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416707377","doi":"https://doi.org/10.1109/tcyb.2025.3634438","pmid":"https://pubmed.ncbi.nlm.nih.gov/41296944"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2025.3634438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3634438","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5104084758","display_name":"Wang Cao","orcid":"https://orcid.org/0009-0002-3329-6824"},"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":"Wang Cao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007392914","display_name":"Min Huang","orcid":"https://orcid.org/0000-0003-3793-968X"},"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":"Min Huang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691702","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0001-9504-4273"},"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":"Qing Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326915","display_name":"Xingwei Wang","orcid":"https://orcid.org/0000-0003-2856-4716"},"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":"Xingwei Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104084758"],"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":0.48992351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"4","first_page":"2111","last_page":"2124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.3612000048160553,"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":0.3612000048160553,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.06689999997615814,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.03830000013113022,"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/carbon-tax","display_name":"Carbon tax","score":0.7121000289916992},{"id":"https://openalex.org/keywords/slab","display_name":"Slab","score":0.6269999742507935},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5569000244140625},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.498199999332428},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4097999930381775},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.37709999084472656},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C2778976125","wikidata":"https://www.wikidata.org/wiki/Q288401","display_name":"Carbon tax","level":3,"score":0.7121000289916992},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6445000171661377},{"id":"https://openalex.org/C113740112","wikidata":"https://www.wikidata.org/wiki/Q5904738","display_name":"Slab","level":2,"score":0.6269999742507935},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5569000244140625},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49480000138282776},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3630000054836273},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34709998965263367},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3149999976158142},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C140205800","wikidata":"https://www.wikidata.org/wiki/Q5860","display_name":"Carbon fibers","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.25529998540878296}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2025.3634438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3634438","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:41296944","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41296944","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1481579165","https://openalex.org/W1569990960","https://openalex.org/W1801849579","https://openalex.org/W1978322605","https://openalex.org/W1990275757","https://openalex.org/W2007525255","https://openalex.org/W2008773819","https://openalex.org/W2060124106","https://openalex.org/W2070248404","https://openalex.org/W2105002757","https://openalex.org/W2118578357","https://openalex.org/W2144766971","https://openalex.org/W2945416676","https://openalex.org/W2970343894","https://openalex.org/W2975843583","https://openalex.org/W2999537755","https://openalex.org/W3005111669","https://openalex.org/W3043121063","https://openalex.org/W3096926880","https://openalex.org/W3134380661","https://openalex.org/W3154344835","https://openalex.org/W3164177856","https://openalex.org/W3164419039","https://openalex.org/W3173454847","https://openalex.org/W4205769593","https://openalex.org/W4321770331","https://openalex.org/W4378675146","https://openalex.org/W4382203092","https://openalex.org/W4383032565","https://openalex.org/W4383896688","https://openalex.org/W4386785877","https://openalex.org/W4387341615","https://openalex.org/W4387540894","https://openalex.org/W4389305115","https://openalex.org/W4390119962","https://openalex.org/W4390492561","https://openalex.org/W4390707531","https://openalex.org/W4391248401","https://openalex.org/W4391358069","https://openalex.org/W4392173996","https://openalex.org/W4392659008","https://openalex.org/W4392693544","https://openalex.org/W4394858973","https://openalex.org/W4396739004","https://openalex.org/W4396853091","https://openalex.org/W4397048672","https://openalex.org/W4399769610","https://openalex.org/W4399795677","https://openalex.org/W4399850646","https://openalex.org/W4399878214","https://openalex.org/W4401084216","https://openalex.org/W4402217134","https://openalex.org/W4407315260","https://openalex.org/W4407900360","https://openalex.org/W4408055499","https://openalex.org/W4410536577","https://openalex.org/W4411270727"],"related_works":[],"abstract_inverted_index":{"Hot":[0],"rolling":[1,48],"production":[2],"scheduling":[3],"(HRPS)":[4],"is":[5,15],"an":[6,150],"essential":[7],"process":[8],"in":[9,41,47,144,217,244],"modern":[10],"steel":[11],"manufacturing.":[12],"Its":[13],"effectiveness":[14],"influenced":[16],"by":[17,128],"three":[18],"primary":[19],"challenges:":[20],"selecting":[21],"suitable":[22],"slabs":[23],"to":[24,32,102,212,228],"maximize":[25],"efficiency":[26],"and":[27,38,70,97,117,139,164,185,231],"maintain":[28],"product":[29],"quality,":[30],"adhering":[31],"increasingly":[33],"stringent":[34],"carbon":[35,59,67,114,222],"tax":[36,60,68,223],"regulations,":[37],"managing":[39],"uncertainties":[40],"processing":[42,72,129],"times":[43,73],"stemming":[44],"from":[45],"fluctuations":[46],"speed.":[49],"This":[50],"article":[51],"presents":[52],"a":[53,81,87,93,160,165,193,214,220,232],"novel":[54],"robust":[55,88,187,208],"HRPS":[56,206,209],"problem":[57,183],"under":[58],"regulation":[61],"(RHRPSP-CTR)":[62],"that":[63,91,174,202],"considers":[64],"slab":[65,126,137,161],"selection,":[66],"regulation,":[69],"uncertain":[71],"simultaneously":[74],"for":[75,124,181,189],"the":[76,104,109,119,134,140,145,175,199],"first":[77],"time.":[78,197],"Based":[79],"on":[80],"budgeted":[82],"uncertainty":[83,234,238],"set,":[84],"we":[85,148],"develop":[86],"counterpart":[89],"model":[90],"utilizes":[92],"classical":[94],"dualization":[95],"scheme":[96],"dynamic":[98],"programming":[99],"recursive":[100],"equations":[101],"address":[103],"challenges":[105],"associated":[106],"with":[107,204],"evaluating":[108],"worst":[110,120],"case":[111,121],"cost":[112],"of":[113,136],"emissions":[115],"(CEs)":[116],"determining":[118],"completion":[122],"time":[123,130],"each":[125],"caused":[127],"uncertainty,":[131],"respectively.":[132],"Recognizing":[133],"characteristics":[135],"selection":[138,162],"high":[141],"computational":[142,171],"complexity":[143],"large-scale":[146,190],"RHRPSP-CTR,":[147],"propose":[149],"adaptive":[151],"large":[152],"neighborhood":[153],"search":[154],"algorithm":[155],"incorporating":[156],"two":[157],"enhancement":[158],"strategies:":[159],"rule":[163],"max-min":[166],"weight":[167],"update":[168],"mechanism.":[169],"Extensive":[170],"experiments":[172],"demonstrate":[173],"proposed":[176],"method":[177],"yields":[178],"optimal":[179],"solutions":[180,188],"small-scale":[182],"instances":[184,191],"high-quality,":[186],"within":[192],"relatively":[194],"short":[195],"computation":[196],"Moreover,":[198],"results":[200],"indicate":[201],"compared":[203],"deterministic":[205],"schemes,":[207],"schemes":[210],"lead":[211,227],"only":[213],"slight":[215],"increase":[216],"cost.":[218],"Notably,":[219],"higher":[221,245],"does":[224,240],"not":[225,241],"necessarily":[226],"lower":[229],"CEs,":[230],"larger":[233],"budget":[235],"coefficient":[236],"or":[237],"range":[239],"always":[242],"result":[243],"CEs.":[246]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-27T00:00:00"}