{"id":"https://openalex.org/W4230669715","doi":"https://doi.org/10.1109/wsc.2017.8248042","title":"A heteroscedastic T-process simulation metamodeling approach and its application in inventory control and optimization","display_name":"A heteroscedastic T-process simulation metamodeling approach and its application in inventory control and optimization","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4230669715","doi":"https://doi.org/10.1109/wsc.2017.8248042"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8248042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8248042","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","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/A5035006590","display_name":"Guangrui Xie","orcid":"https://orcid.org/0000-0001-6338-1427"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guangrui Xie","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329867","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0001-7965-9198"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035006590"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.32394366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3242","last_page":"3253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9977999925613403,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.9259240031242371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122689485549927},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5533089637756348},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5041254758834839},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.4653763175010681},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4613279402256012},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45074939727783203},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43620991706848145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21707075834274292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2152959406375885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11070454120635986},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.0718241035938263}],"concepts":[{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.9259240031242371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122689485549927},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5533089637756348},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5041254758834839},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.4653763175010681},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4613279402256012},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45074939727783203},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43620991706848145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21707075834274292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2152959406375885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11070454120635986},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0718241035938263},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8248042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8248042","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W26049824","https://openalex.org/W76947095","https://openalex.org/W113895413","https://openalex.org/W1510052597","https://openalex.org/W1558516341","https://openalex.org/W1579925870","https://openalex.org/W1654787807","https://openalex.org/W1978952132","https://openalex.org/W2023668266","https://openalex.org/W2047427484","https://openalex.org/W2050982333","https://openalex.org/W2063180182","https://openalex.org/W2073626204","https://openalex.org/W2080648111","https://openalex.org/W2090163962","https://openalex.org/W2138103271","https://openalex.org/W2139998722","https://openalex.org/W2145829322","https://openalex.org/W2163286960","https://openalex.org/W2238431993","https://openalex.org/W2284463312","https://openalex.org/W3123026557","https://openalex.org/W4211049957","https://openalex.org/W4231269258","https://openalex.org/W4244824557","https://openalex.org/W4249753629","https://openalex.org/W4254161374","https://openalex.org/W4297776957","https://openalex.org/W6601090521","https://openalex.org/W6680633967","https://openalex.org/W7030535387"],"related_works":["https://openalex.org/W3150130873","https://openalex.org/W2104827390","https://openalex.org/W2969571561","https://openalex.org/W2620550997","https://openalex.org/W1525931652","https://openalex.org/W2076301380","https://openalex.org/W3121339476","https://openalex.org/W3147153020","https://openalex.org/W2125285777","https://openalex.org/W4319595264"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"develop":[4],"a":[5,19,33,74,113],"heteroscedastic":[6],"t-process":[7],"metamodeling":[8],"approach":[9],"(TP)":[10],"for":[11,77,111,133],"approximating":[12],"the":[13,50,78,88,104],"mean":[14],"response":[15],"surface":[16],"implied":[17],"by":[18],"stochastic":[20,94],"simulation":[21,130],"and":[22,38,93,102,108,140],"performing":[23],"metamodel-based":[24,84],"optimization.":[25,85],"We":[26,44,71,86],"provide":[27,73],"details":[28],"on":[29,42,57],"how":[30],"to":[31,82],"construct":[32],"TP":[34,47,92,107],"metamodel,":[35],"make":[36],"inference":[37],"perform":[39,83],"prediction":[40],"based":[41],"TP.":[43],"show":[45],"that":[46,55,126],"can":[48],"retain":[49],"attractive":[51],"properties":[52],"of":[53,91,106],"approaches":[54],"rely":[56],"Gaussian":[58],"processes,":[59],"but":[60],"it":[61],"also":[62],"enjoys":[63],"enhanced":[64],"flexibility,":[65],"at":[66],"no":[67],"additional":[68],"computational":[69],"cost.":[70],"further":[72],"closed-form":[75],"expression":[76],"TP-based":[79],"expected":[80],"improvement":[81],"compare":[87],"predictive":[89],"performance":[90,105],"kriging":[95],"(SK)":[96],"via":[97],"an":[98],"M/M/1":[99],"inspired":[100],"example,":[101],"demonstrate":[103],"SK-based":[109],"algorithms":[110],"optimizing":[112],"simple":[114],"periodic":[115],"review":[116],"(s,":[117],"S)":[118],"inventory":[119],"system.":[120],"The":[121],"preliminary":[122],"numerical":[123],"evaluations":[124],"indicate":[125],"TPcan":[127],"serve":[128],"asapromising":[129],"analytics":[131],"tool":[132],"solving":[134],"problems":[135],"encountered":[136],"in":[137],"production":[138],"planning":[139],"supply":[141],"chain":[142],"management.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}