{"id":"https://openalex.org/W2164136058","doi":"https://doi.org/10.1080/08839519208949967","title":"A DYNAMIC LEARNING MODEL FOR ON-LINE QUALITY CONTROL USING THE TAGUCHI APPROACH","display_name":"A DYNAMIC LEARNING MODEL FOR ON-LINE QUALITY CONTROL USING THE TAGUCHI APPROACH","publication_year":1992,"publication_date":"1992-10-01","ids":{"openalex":"https://openalex.org/W2164136058","doi":"https://doi.org/10.1080/08839519208949967","mag":"2164136058"},"language":"en","primary_location":{"id":"doi:10.1080/08839519208949967","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519208949967","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"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":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5021742360","display_name":"H. Raghav Rao","orcid":"https://orcid.org/0000-0002-2307-231X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. R. RAO","raw_affiliation_strings":["School of Management , State University of New York at Buffalo , Buffalo, New York, 14260"],"affiliations":[{"raw_affiliation_string":"School of Management , State University of New York at Buffalo , Buffalo, New York, 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010935325","display_name":"M. V. THIRUMURTHY","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. V. THIRUMURTHY","raw_affiliation_strings":["School of Management , State University of New York at Buffalo , Buffalo, New York, 14260"],"affiliations":[{"raw_affiliation_string":"School of Management , State University of New York at Buffalo , Buffalo, New York, 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100729635","display_name":"R. Ram\u00e9sh","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. RAMESH","raw_affiliation_strings":["School of Management , State University of New York at Buffalo , Buffalo, New York, 14260"],"affiliations":[{"raw_affiliation_string":"School of Management , State University of New York at Buffalo , Buffalo, New York, 14260","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021742360"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27184793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"4","first_page":"459","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.992900013923645,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.8519089221954346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831672430038452},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.668465256690979},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.643804669380188},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4963911175727844},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4782623052597046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43183502554893494},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.42719322443008423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4016623795032501},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.37681883573532104},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.36311453580856323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13302579522132874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08185669779777527}],"concepts":[{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.8519089221954346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831672430038452},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.668465256690979},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.643804669380188},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4963911175727844},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4782623052597046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43183502554893494},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.42719322443008423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4016623795032501},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.37681883573532104},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.36311453580856323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13302579522132874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08185669779777527},{"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839519208949967","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519208949967","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"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":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W31004560","https://openalex.org/W140972017","https://openalex.org/W2014265988","https://openalex.org/W2042922541","https://openalex.org/W2062925181","https://openalex.org/W2327724807","https://openalex.org/W2411924744","https://openalex.org/W4298140396"],"related_works":["https://openalex.org/W2141801573","https://openalex.org/W2042858286","https://openalex.org/W2186534316","https://openalex.org/W2206153289","https://openalex.org/W2007081974","https://openalex.org/W2099737058","https://openalex.org/W1982196206","https://openalex.org/W1983920395","https://openalex.org/W2315793431","https://openalex.org/W2078514656"],"abstract_inverted_index":{"Abstract":[0],"An":[1],"important":[2],"philosophy":[3],"of":[4,35,58,143,156,165,177,180,187,211,245,264],"quality":[5,16,32,45,269],"control":[6,270],"due":[7],"to":[8,83,97,189,195,268],"Taguchi":[9,30,266],"rests":[10],"on":[11,66,208],"the":[12,20,23,63,67,79,88,92,100,122,135,141,152,178,185,191,209,232,243,262,265],"belief":[13],"that,":[14,112],"once":[15,113],"is":[17,28,70,81,102,111,116,119,154,183,206,234,240],"designed":[18],"into":[19],"product":[21],"and":[22,40,105,126,214,217,252,276],"process,":[24],"very":[25],"little":[26],"inspection":[27,39,57],"necessary.":[29],"evaluates":[31],"in":[33,203,242,261,271],"terms":[34],"costs":[36,42],"incurred,":[37],"including":[38],"adjustment":[41],"apart":[43],"from":[44],"loss.":[46],"Using":[47],"these":[48],"costs,":[49],"he":[50],"determines":[51],"an":[52,227],"optimal":[53],"interval":[54],"for":[55,72,220,226,230],"periodic":[56],"products.":[59],"At":[60],"each":[61],"inspection,":[62],"first":[64,93],"item":[65,94,146],"process":[68,80,101,123,153,192,253],"line":[69],"checked":[71],"defects.":[73],"If":[74],"no":[75],"defects":[76],"are":[77,130,280],"found,":[78],"assumed":[82],"be":[84,98,196],"under":[85],"control.":[86,157],"On":[87],"other":[89],"hand,":[90],"if":[91],"turns":[95],"out":[96,155],"defective,":[99],"immediately":[103],"stopped":[104],"adjusted.":[106],"The":[107,175,199,255],"underlying":[108,136],"assumption":[109,137,182],"here":[110],"a":[114,163,224],"defect":[115],"observed,":[117],"it":[118],"construed":[120],"that":[121,140,151,184],"has":[124,258],"drifted":[125],"all":[127],"subsequent":[128],"items":[129],"defective.":[131],"This":[132],"article":[133],"challenges":[134],"by":[138],"recognizing":[139],"observation":[142],"one":[144],"defective":[145],"does":[147],"not":[148],"necessarily":[149],"imply":[150],"Noisy":[158],"signals":[159],"may":[160],"occur":[161],"as":[162,169],"result":[164,176],"nonprocess":[166],"disturbances":[167],"such":[168],"measurement":[170],"error":[171],"or":[172],"operator":[173],"error.":[174],"relaxation":[179],"Taguchi's":[181],"decision":[186,200],"whether":[188],"stop":[190],"would":[193],"have":[194],"made":[197],"dynamically.":[198],"model":[201],"developed":[202],"this":[204,237],"paper":[205],"based":[207],"concept":[210],"state-space":[212],"search":[213],"incorporates":[215],"Bayesian":[216],"regression-learning":[218],"mechanisms":[219],"parameter":[221],"estimation.":[222],"Subsequently,":[223],"framework":[225],"expert":[228],"controller":[229],"automating":[231],"system":[233],"developed.":[235],"In":[236],"framework,":[238],"knowledge":[239],"identified":[241],"form":[244],"three":[246],"components:":[247],"assessment":[248],"knowledge,":[249,251],"simulation":[250],"knowledge.":[254],"problem":[256],"studied":[257],"wide":[259],"applications":[260],"implementation":[263],"approach":[267],"manufacturing":[272],"environments.":[273],"Possible":[274],"extensions":[275],"directions":[277],"for-future":[278],"research":[279],"also":[281],"presented.":[282]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}