{"id":"https://openalex.org/W2028591539","doi":"https://doi.org/10.1109/coase.2010.5584189","title":"Scheduling of steel-making and continuous casting system using the surrogate subgradient algorithm for lagrangian relaxation","display_name":"Scheduling of steel-making and continuous casting system using the surrogate subgradient algorithm for lagrangian relaxation","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2028591539","doi":"https://doi.org/10.1109/coase.2010.5584189","mag":"2028591539"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2010.5584189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2010.5584189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-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":"https://openalex.org/A5035769193","display_name":"Liangliang Sun","orcid":"https://orcid.org/0000-0002-7292-3934"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":"Liangliang Sun","raw_affiliation_strings":["Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China","Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China, 110004"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China, 110004","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042520521","display_name":"Tianyou Chai","orcid":"https://orcid.org/0000-0002-4623-1483"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":["Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China","Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China, 110004"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang, China, 110004","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070935042","display_name":"Peter B. Luh","orcid":"https://orcid.org/0000-0002-5158-7388"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter B. Luh","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT, USA","Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs 06269-2157, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs 06269-2157, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035769193"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":2.4369,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88850275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":null,"first_page":"885","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9986000061035156,"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":0.9986000061035156,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9904999732971191,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9871000051498413,"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/subgradient-method","display_name":"Subgradient method","score":0.9471827745437622},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.8192486763000488},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.6921044588088989},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6327623128890991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5654672384262085},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5210154056549072},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.46419039368629456},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.443235844373703},{"id":"https://openalex.org/keywords/continuous-casting","display_name":"Continuous casting","score":0.4146784543991089},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4021891951560974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23746642470359802},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1863538920879364}],"concepts":[{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.9471827745437622},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.8192486763000488},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6921044588088989},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6327623128890991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5654672384262085},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5210154056549072},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.46419039368629456},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.443235844373703},{"id":"https://openalex.org/C2779684419","wikidata":"https://www.wikidata.org/wiki/Q1506832","display_name":"Continuous casting","level":2,"score":0.4146784543991089},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4021891951560974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23746642470359802},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1863538920879364},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2010.5584189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2010.5584189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310017","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1553702074","https://openalex.org/W1749146906","https://openalex.org/W2004360857","https://openalex.org/W2014710401","https://openalex.org/W2057679687","https://openalex.org/W2096118674","https://openalex.org/W2119606476","https://openalex.org/W2125310205","https://openalex.org/W2137920965","https://openalex.org/W2150473588","https://openalex.org/W2324866405","https://openalex.org/W2798766386","https://openalex.org/W4236384091","https://openalex.org/W4254721634","https://openalex.org/W6637796412"],"related_works":["https://openalex.org/W2037613239","https://openalex.org/W3183857959","https://openalex.org/W4243844638","https://openalex.org/W2894990380","https://openalex.org/W195910675","https://openalex.org/W3032916910","https://openalex.org/W2363143319","https://openalex.org/W2351035339","https://openalex.org/W1980006501","https://openalex.org/W2138760184"],"abstract_inverted_index":{"How":[0],"to":[1,14,20,58,78,113],"make":[2],"a":[3,7,68],"good":[4],"schedule":[5,19,77,88,116],"in":[6],"computationally":[8],"efficient":[9],"manner":[10],"and":[11,25,35,44,85,110],"be":[12],"able":[13],"assess":[15],"the":[16,22,28,31,39,60,74],"quality":[17],"of":[18,33],"improve":[21],"steel":[23,45],"production":[24,46],"effectively":[26],"assist":[27],"reschedule":[29],"during":[30],"process":[32],"steel-making":[34,84],"continuous":[36,86],"casting":[37,87],"are":[38,91],"key":[40],"factors":[41],"for":[42,53,82],"iron":[43],"manufacturing":[47],"productivity.":[48],"The":[49,62,97],"surrogate":[50,63],"subgradient":[51,64],"algorithm":[52],"lagrangian":[54,94],"relaxation":[55,95],"is":[56],"introduced":[57],"solve":[59],"problem.":[61],"method":[65,102],"can":[66,103],"get":[67,114],"proper":[69],"direction":[70],"without":[71],"solving":[72],"all":[73],"separated":[75],"charge's":[76],"optimize":[79],"dual":[80],"functions":[81],"separable":[83],"problems":[89],"which":[90],"relaxed":[92],"by":[93],"method.":[96],"results":[98],"shows":[99],"that":[100],"this":[101],"obtain":[104],"better":[105,115],"directions":[106],"with":[107],"less":[108,111],"efforts":[109],"times":[112],"results.":[117]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
