{"id":"https://openalex.org/W2039247302","doi":"https://doi.org/10.1198/004017002188618536","title":"Robust Parameter Design of Multiple-Target Systems","display_name":"Robust Parameter Design of Multiple-Target Systems","publication_year":2002,"publication_date":"2002-11-01","ids":{"openalex":"https://openalex.org/W2039247302","doi":"https://doi.org/10.1198/004017002188618536","mag":"2039247302"},"language":"en","primary_location":{"id":"doi:10.1198/004017002188618536","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017002188618536","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","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/A5015629734","display_name":"V. Roshan Joseph","orcid":"https://orcid.org/0000-0002-9430-5301"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V Roshan Joseph","raw_affiliation_strings":["Department of Statistics, University of Michigan, Ann Arbor, MI 48109"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Michigan, Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083823019","display_name":"C. F. Jeff Wu","orcid":"https://orcid.org/0000-0001-8361-2755"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C F Jeff Wu","raw_affiliation_strings":["Department of Statistics, University of Michigan, Ann Arbor, MI 48109"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Michigan, Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015629734"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.7816,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.85893528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":"4","first_page":"338","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9871000051498413,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9836999773979187,"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/taguchi-methods","display_name":"Taguchi methods","score":0.6433741450309753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095050573348999},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.595961332321167},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5206531882286072},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.49758055806159973},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.493238627910614},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42885276675224304},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3278122544288635},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.25866198539733887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21456554532051086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12446185946464539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10249951481819153},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06945264339447021}],"concepts":[{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.6433741450309753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095050573348999},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.595961332321167},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5206531882286072},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.49758055806159973},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.493238627910614},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42885276675224304},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3278122544288635},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25866198539733887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21456554532051086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12446185946464539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10249951481819153},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06945264339447021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/004017002188618536","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017002188618536","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W17851708","https://openalex.org/W90122157","https://openalex.org/W156343950","https://openalex.org/W409509505","https://openalex.org/W636906727","https://openalex.org/W651150315","https://openalex.org/W1528905581","https://openalex.org/W1977996087","https://openalex.org/W1980764416","https://openalex.org/W2014171953","https://openalex.org/W2025571610","https://openalex.org/W2056432722","https://openalex.org/W2060135116","https://openalex.org/W2088661645","https://openalex.org/W2140920416","https://openalex.org/W2147530768","https://openalex.org/W2185507394","https://openalex.org/W2266946488","https://openalex.org/W2795929191"],"related_works":["https://openalex.org/W2141801573","https://openalex.org/W2042858286","https://openalex.org/W2186534316","https://openalex.org/W1899929387","https://openalex.org/W2289064120","https://openalex.org/W2104509673","https://openalex.org/W1660662692","https://openalex.org/W2351497583","https://openalex.org/W4308823735","https://openalex.org/W2787240389"],"abstract_inverted_index":{"In":[0],"multiple-target":[1],"systems,":[2],"the":[3,10,18,22,30,35,43,54,66],"signal":[4],"factor":[5],"is":[6,81],"varied":[7],"based":[8],"on":[9],"signal-response":[11,31],"relationship":[12,32],"to":[13,28,34],"achieve":[14],"different":[15],"targets":[16],"for":[17,42,53,73],"response":[19],"specified":[20],"by":[21,38],"customer.":[23],"Robust":[24],"parameter":[25],"design":[26],"aims":[27],"make":[29],"insensitive":[33],"noise":[36],"variation":[37],"choosing":[39],"appropriate":[40],"levels":[41],"control":[44],"factors.":[45],"Taguchi's":[46],"dynamic":[47],"signal-to-noise":[48],"ratio":[49],"has":[50],"several":[51],"limitations":[52],"optimization":[55,74],"in":[56],"multiple":[57],"target":[58],"systems.":[59],"We":[60],"give":[61],"a":[62,70,84],"theoretical":[63],"formulation":[64],"of":[65],"problem":[67],"and":[68],"develop":[69],"practical":[71],"approach":[72],"that":[75],"overcomes":[76],"these":[77],"limitations.":[78],"The":[79],"methodology":[80],"illustrated":[82],"using":[83],"temperature":[85],"controller":[86],"example.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
