{"id":"https://openalex.org/W2575498458","doi":"https://doi.org/10.1080/0305215x.2016.1271881","title":"Response surface-based robust parameter design optimization with both qualitative and quantitative variables","display_name":"Response surface-based robust parameter design optimization with both qualitative and quantitative variables","publication_year":2017,"publication_date":"2017-01-17","ids":{"openalex":"https://openalex.org/W2575498458","doi":"https://doi.org/10.1080/0305215x.2016.1271881","mag":"2575498458"},"language":"en","primary_location":{"id":"doi:10.1080/0305215x.2016.1271881","doi":"https://doi.org/10.1080/0305215x.2016.1271881","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0305215x.2016.1271881","pdf_url":null,"source":{"id":"https://openalex.org/S139857051","display_name":"Engineering Optimization","issn_l":"0305-215X","issn":["0305-215X","1026-745X","1029-0273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Optimization","raw_type":"journal-article"},"volume":null,"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/A5063238711","display_name":"Ak\u0131n \u00d6zdemir","orcid":"https://orcid.org/0000-0002-1716-6694","observed_orcids":["https://orcid.org/0000-0002-1716-6694"]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akin Ozdemir","raw_affiliation_strings":["Advanced Quality Engineering Laboratory, Department of Industrial Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Quality Engineering Laboratory, Department of Industrial Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112358265","display_name":"Byung Rae Cho","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Byung Rae Cho","raw_affiliation_strings":["Advanced Quality Engineering Laboratory, Department of Industrial Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Quality Engineering Laboratory, Department of Industrial Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112358265"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":2.653,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90012118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"49","issue":"10","first_page":"1796","last_page":"1812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9467999935150146,"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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9467999935150146,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.025699999183416367,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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":0.007300000172108412,"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/robust-parameter-design","display_name":"parameter design","score":0.968999981880188},{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"response surface methodology","score":0.8799999952316284},{"id":"https://openalex.org/keywords/outer-approximation","display_name":"outer approximation","score":0.8730000257492065},{"id":"https://openalex.org/keywords/branch-and-bound","display_name":"branch and bound","score":0.9409999847412109}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7065344452857971},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.6025933623313904},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5501785278320312},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.5468534827232361},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.5202940106391907},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5092557668685913},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4785516858100891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4348655343055725},{"id":"https://openalex.org/C110850998","wikidata":"https://www.wikidata.org/wiki/Q5377895","display_name":"Engineering optimization","level":3,"score":0.434856653213501},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.42241740226745605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39519003033638},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3951592743396759},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3845301866531372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1362609565258026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11888304352760315},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0852961540222168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0305215x.2016.1271881","doi":"https://doi.org/10.1080/0305215x.2016.1271881","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0305215x.2016.1271881","pdf_url":null,"source":{"id":"https://openalex.org/S139857051","display_name":"Engineering Optimization","issn_l":"0305-215X","issn":["0305-215X","1026-745X","1029-0273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Optimization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W104866352","https://openalex.org/W197320591","https://openalex.org/W592715486","https://openalex.org/W1479802788","https://openalex.org/W1502310521","https://openalex.org/W1533603180","https://openalex.org/W1599526235","https://openalex.org/W1648123474","https://openalex.org/W1778714656","https://openalex.org/W1894141034","https://openalex.org/W1977548221","https://openalex.org/W1987427249","https://openalex.org/W1997215277","https://openalex.org/W2000736122","https://openalex.org/W2000836282","https://openalex.org/W2017955071","https://openalex.org/W2021273462","https://openalex.org/W2026662237","https://openalex.org/W2036737894","https://openalex.org/W2044771513","https://openalex.org/W2048923202","https://openalex.org/W2049378391","https://openalex.org/W2052759916","https://openalex.org/W2055708947","https://openalex.org/W2057338659","https://openalex.org/W2068700316","https://openalex.org/W2071334094","https://openalex.org/W2078914749","https://openalex.org/W2079459991","https://openalex.org/W2081380994","https://openalex.org/W2087245560","https://openalex.org/W2094202051","https://openalex.org/W2100452229","https://openalex.org/W2170213261","https://openalex.org/W2282976653","https://openalex.org/W2286901286","https://openalex.org/W2484725964","https://openalex.org/W2486444208","https://openalex.org/W2789714717","https://openalex.org/W2940616667","https://openalex.org/W4205530313","https://openalex.org/W4231000141","https://openalex.org/W4253579071","https://openalex.org/W4255584840"],"related_works":["https://openalex.org/W2908107136","https://openalex.org/W2764230554","https://openalex.org/W4205438635","https://openalex.org/W2901020484","https://openalex.org/W2945855118","https://openalex.org/W2548945335","https://openalex.org/W2024402881","https://openalex.org/W2787622611","https://openalex.org/W2805111390","https://openalex.org/W4281767943"],"abstract_inverted_index":{"The":[0,121],"response":[1,57],"surface-based":[2],"robust":[3,132],"parameter":[4,133],"design,":[5],"with":[6,83,118],"its":[7],"extensive":[8],"use":[9],"of":[10],"optimization":[11,101],"techniques":[12],"and":[13,48,95,111],"statistical":[14],"tools,":[15,102],"is":[16,92],"known":[17],"as":[18],"an":[19],"effective":[20],"engineering":[21,39],"design":[22,82,134],"methodology":[23],"for":[24],"improving":[25],"production":[26],"processes,":[27],"when":[28],"input":[29,77],"variables":[30,50,78],"are":[31,43,51,116],"quantitative":[32,49],"on":[33],"a":[34,72,80],"continuous":[35],"scale.":[36],"In":[37,53],"many":[38],"settings,":[40],"however,":[41],"there":[42],"situations":[44],"where":[45],"both":[46],"qualitative":[47],"considered.":[52],"such":[54],"situations,":[55],"traditional":[56,119,138],"surface":[58],"designs":[59],"may":[60],"not":[61],"be":[62],"effective.":[63],"To":[64],"rectify":[65],"this":[66,68],"problem,":[67],"article":[69],"lays":[70],"out":[71],"foundation":[73],"by":[74],"embedding":[75],"those":[76],"into":[79],"factorial":[81],"pseudo-centre":[84],"points.":[85],"A":[86],"0\u20131":[87],"mixed-integer":[88],"nonlinear":[89],"programming":[90],"model":[91],"then":[93],"developed":[94],"the":[96,104,108,112,126,137],"solutions":[97,135],"found":[98],"using":[99],"three":[100],"namely":[103],"outer":[105],"approximation":[106],"method,":[107],"branch-and-bound":[109],"technique":[110],"hybrid":[113],"branch-and-cut":[114],"algorithm,":[115],"compared":[117],"counterparts.":[120],"numerical":[122],"example":[123],"shows":[124],"that":[125],"proposed":[127],"models":[128],"result":[129],"in":[130],"better":[131],"than":[136],"models.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
