{"id":"https://openalex.org/W2883821791","doi":"https://doi.org/10.1080/00207543.2018.1497311","title":"Service-oriented robust parallel machine scheduling","display_name":"Service-oriented robust parallel machine scheduling","publication_year":2018,"publication_date":"2018-07-16","ids":{"openalex":"https://openalex.org/W2883821791","doi":"https://doi.org/10.1080/00207543.2018.1497311","mag":"2883821791"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2018.1497311","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1497311","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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":"https://openalex.org/A5100347835","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0003-3190-5008"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352148","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0001-8156-2782"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024748800","display_name":"Feng Chu","orcid":"https://orcid.org/0000-0003-1225-8319"},"institutions":[{"id":"https://openalex.org/I4210107733","display_name":"Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes","ror":"https://ror.org/01aqxgr98","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I88467170"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN","FR"],"is_corresponding":true,"raw_author_name":"Feng Chu","raw_affiliation_strings":["IBISC, Univ \u00c9vry, University of Paris-Saclay, \u00c9vry 91025, France","School of Economics and Management, Fuzhou University, Fuzhou 350116, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"IBISC, Univ \u00c9vry, University of Paris-Saclay, \u00c9vry 91025, France","institution_ids":["https://openalex.org/I4210107733","https://openalex.org/I277688954"]},{"raw_affiliation_string":"School of Economics and Management, Fuzhou University, Fuzhou 350116, People's Republic of China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034007743","display_name":"Feifeng Zheng","orcid":"https://orcid.org/0000-0002-1603-4163"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifeng Zheng","raw_affiliation_strings":["Glorious Sun School of Business & Management, Donghua University, Shanghai 200051, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Glorious Sun School of Business & Management, Donghua University, Shanghai 200051, People's Republic of China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741513","display_name":"Chengbin Chu","orcid":"https://orcid.org/0000-0002-1837-4380"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210134356","display_name":"Laboratoire G\u00e9nie Industriel","ror":"https://ror.org/0455wwj08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210134356"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Chengbin Chu","raw_affiliation_strings":["Laboratoire G\u00e9nie Industriel, Centrale Sup\u00e9lec, Universit\u00e9 Paris-Saclay, Grande Voie des Vignes, Chatenay-Malabry, France","School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie Industriel, Centrale Sup\u00e9lec, Universit\u00e9 Paris-Saclay, Grande Voie des Vignes, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I4210134356","https://openalex.org/I277688954"]},{"raw_affiliation_string":"School of Economics & Management, Tongji University, Shanghai 200092, People's Republic of China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024748800"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":3.524,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93586501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"57","issue":"12","first_page":"3814","last_page":"3830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950150728225708},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6822643280029297},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5888863801956177},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4698680341243744},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.41491228342056274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2801097631454468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1843375265598297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950150728225708},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6822643280029297},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5888863801956177},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4698680341243744},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.41491228342056274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2801097631454468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1843375265598297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00207543.2018.1497311","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1497311","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01851270v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01851270","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Production Research, 2019, 57 (12), pp.3814--3830. ⟨10.1080/00207543.2018.1497311⟩","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:57:y:2019:i:12:p:3814-3830","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2018.1497311","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2150154707","display_name":null,"funder_award_id":"71771048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6400224633","display_name":null,"funder_award_id":"71428002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G654896612","display_name":null,"funder_award_id":"71571134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G748946662","display_name":null,"funder_award_id":"71531011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W62628232","https://openalex.org/W210922567","https://openalex.org/W760153864","https://openalex.org/W1064564656","https://openalex.org/W1459610841","https://openalex.org/W1484551447","https://openalex.org/W1569990960","https://openalex.org/W1752958389","https://openalex.org/W1875832033","https://openalex.org/W1963814339","https://openalex.org/W1967729795","https://openalex.org/W1968355947","https://openalex.org/W1981694157","https://openalex.org/W1985978353","https://openalex.org/W1986991185","https://openalex.org/W2007363217","https://openalex.org/W2009271970","https://openalex.org/W2009923109","https://openalex.org/W2010484711","https://openalex.org/W2020813379","https://openalex.org/W2021417211","https://openalex.org/W2025138075","https://openalex.org/W2040729500","https://openalex.org/W2043268737","https://openalex.org/W2047348273","https://openalex.org/W2052398207","https://openalex.org/W2059676477","https://openalex.org/W2063711711","https://openalex.org/W2072188478","https://openalex.org/W2074085031","https://openalex.org/W2075941281","https://openalex.org/W2076394690","https://openalex.org/W2076837655","https://openalex.org/W2082631305","https://openalex.org/W2086548770","https://openalex.org/W2086992555","https://openalex.org/W2092660864","https://openalex.org/W2096011304","https://openalex.org/W2099506495","https://openalex.org/W2102462598","https://openalex.org/W2116731530","https://openalex.org/W2130238915","https://openalex.org/W2133204269","https://openalex.org/W2140496876","https://openalex.org/W2147507583","https://openalex.org/W2164499670","https://openalex.org/W2274166001","https://openalex.org/W2294947825","https://openalex.org/W2574071463","https://openalex.org/W2583892349","https://openalex.org/W2800018007","https://openalex.org/W2801402672","https://openalex.org/W4232213988","https://openalex.org/W4251616545"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Stochastic":[0],"scheduling":[1,20,45],"optimisation":[2],"is":[3,31,71,100,114,129],"a":[4,41,95,109,117],"hot":[5],"and":[6,25,47,53,102,133],"challenging":[7],"research":[8],"topic":[9],"with":[10,160],"wide":[11],"applications.":[12],"Most":[13],"existing":[14],"works":[15],"on":[16,121],"stochastic":[17,42],"parallel":[18,43],"machine":[19,44],"address":[21],"uncertain":[22],"processing":[23,58],"time,":[24],"assume":[26],"that":[27,49,149],"its":[28],"probability":[29,80],"distribution":[30],"known":[32],"or":[33,87],"can":[34,155],"be":[35],"correctly":[36],"estimated.":[37],"This":[38],"paper":[39],"investigates":[40],"problem,":[46,94],"assumes":[48],"only":[50],"the":[51,57,64,74,79,93,135,138],"mean":[52],"covariance":[54],"matrix":[55],"of":[56,66,81,137],"times":[59],"are":[60,106,144],"known,":[61],"due":[62,90],"to":[63,72],"lack":[65],"historical":[67],"data.":[68],"The":[69],"objective":[70],"maximise":[73],"service":[75],"level,":[76],"which":[77],"measures":[78],"all":[82],"jobs":[83],"jointly":[84],"completed":[85],"before":[86],"at":[88],"their":[89],"dates.":[91],"For":[92],"new":[96],"distributionally":[97],"robust":[98],"formulation":[99,128],"proposed,":[101],"two":[103,139],"model-based":[104],"approaches":[105],"developed:":[107],"(1)":[108],"sample":[110],"average":[111],"approximation":[112],"method":[113],"adapted,":[115],"(2)":[116],"hierarchical":[118,153],"approach":[119,154],"based":[120],"mixed":[122],"integer":[123],"second-order":[124],"cone":[125],"programming":[126],"(MI-SOCP)":[127],"designed.":[130],"To":[131],"evaluate":[132],"compare":[134],"performance":[136],"approaches,":[140],"randomly":[141],"generated":[142],"instances":[143],"tested.":[145],"Computational":[146],"results":[147],"show":[148],"our":[150],"proposed":[151],"MI-SOCP-based":[152],"obtain":[156],"higher":[157],"solution":[158],"quality":[159],"less":[161],"computational":[162],"effect.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}