{"id":"https://openalex.org/W4361293875","doi":"https://doi.org/10.1080/16843703.2023.2193365","title":"Process capability monitoring and change-point analysis for S-type quality characteristic","display_name":"Process capability monitoring and change-point analysis for S-type quality characteristic","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361293875","doi":"https://doi.org/10.1080/16843703.2023.2193365"},"language":"en","primary_location":{"id":"doi:10.1080/16843703.2023.2193365","doi":"https://doi.org/10.1080/16843703.2023.2193365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/16843703.2023.2193365","pdf_url":null,"source":{"id":"https://openalex.org/S2475542964","display_name":"Quality Technology & Quantitative Management","issn_l":"1684-3703","issn":["1684-3703","1811-4857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1"],"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":"Quality Technology &amp; Quantitative Management","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/A5032620250","display_name":"Mou\u2010Yuan Liao","orcid":"https://orcid.org/0000-0002-8351-4271","observed_orcids":["https://orcid.org/0000-0002-8351-4271"]},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]},{"id":"https://openalex.org/I4405252743","display_name":"Huzhou College","ror":"https://ror.org/055jk5a41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405252743"]}],"countries":["CN","TW"],"is_corresponding":true,"raw_author_name":"Mou-Yuan Liao","raw_affiliation_strings":["Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan","School of Economics and Management, Huzhou College, Huzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"School of Economics and Management, Huzhou College, Huzhou, China","institution_ids":["https://openalex.org/I4405252743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054278694","display_name":"Chien\u2010Wei Wu","orcid":"https://orcid.org/0000-0001-7965-1997","observed_orcids":["https://orcid.org/0000-0001-7965-1997","https://orcid.org/0009-0002-6889-9684"]},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Wei Wu","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032620250"],"corresponding_institution_ids":["https://openalex.org/I177918364","https://openalex.org/I4405252743"],"apc_list":null,"apc_paid":null,"fwci":1.308,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81004549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"21","issue":"2","first_page":"237","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0,"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/T13706","display_name":"Management and Optimization Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process-capability-index","display_name":"process capability index","score":0.8650000095367432},{"id":"https://openalex.org/keywords/exponentially-weighted-moving-average","display_name":"exponential moving average","score":0.8679999709129333},{"id":"https://openalex.org/keywords/change-point-analysis","display_name":"change-point analysis","score":0.9200000166893005},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.8460000157356262}],"concepts":[{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.9412930607795715},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.8848558664321899},{"id":"https://openalex.org/C190190378","wikidata":"https://www.wikidata.org/wiki/Q1192625","display_name":"Process capability index","level":3,"score":0.8520066738128662},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.8344123363494873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895224452018738},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6734871864318848},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.6030637621879578},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5628979206085205},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.5531189441680908},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5079100728034973},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5014729499816895},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4579355716705322},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43713679909706116},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41796618700027466},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.4149152934551239},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3306072950363159},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24061059951782227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21106216311454773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15186792612075806},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14317187666893005},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.13787898421287537},{"id":"https://openalex.org/C2778618615","wikidata":"https://www.wikidata.org/wiki/Q4008393","display_name":"External quality assessment","level":2,"score":0.09435543417930603},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/16843703.2023.2193365","doi":"https://doi.org/10.1080/16843703.2023.2193365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/16843703.2023.2193365","pdf_url":null,"source":{"id":"https://openalex.org/S2475542964","display_name":"Quality Technology & Quantitative Management","issn_l":"1684-3703","issn":["1684-3703","1811-4857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1"],"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":"Quality Technology &amp; Quantitative Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W152569421","https://openalex.org/W572517144","https://openalex.org/W1977178497","https://openalex.org/W2014725859","https://openalex.org/W2019554891","https://openalex.org/W2040672440","https://openalex.org/W2050164571","https://openalex.org/W2051903196","https://openalex.org/W2083366370","https://openalex.org/W2084443752","https://openalex.org/W2099101141","https://openalex.org/W2129327233","https://openalex.org/W2135142831","https://openalex.org/W2142841946","https://openalex.org/W2222224277","https://openalex.org/W2310128947","https://openalex.org/W2394921245","https://openalex.org/W2424150693","https://openalex.org/W2471237736","https://openalex.org/W2786556385","https://openalex.org/W2804685269","https://openalex.org/W3025970346","https://openalex.org/W3147076273","https://openalex.org/W3172986746","https://openalex.org/W4200283837","https://openalex.org/W4229980202"],"related_works":["https://openalex.org/W4321484056","https://openalex.org/W2099101141","https://openalex.org/W4403463146","https://openalex.org/W4403831322","https://openalex.org/W1969853287","https://openalex.org/W2638090535","https://openalex.org/W7044001334","https://openalex.org/W7039819820","https://openalex.org/W2083366370","https://openalex.org/W4386422933"],"abstract_inverted_index":{"Among":[0],"various":[1],"quality":[2,39],"assurance":[3],"activities,":[4],"process":[5,20,31,109,123],"capability":[6,24,32,51,58,73],"indices":[7],"(PCIs)":[8],"are":[9],"recognized":[10],"as":[11],"the":[12,30,44,56,61,71,93],"most":[13],"effective":[14],"tools":[15],"to":[16,54,88],"quantify":[17],"and":[18,91,114],"evaluate":[19],"performance.":[21],"The":[22],"one-sided":[23],"index":[25,45],"Cpu":[26],"can":[27,103],"adequately":[28],"measure":[29],"for":[33],"processes":[34],"with":[35],"a":[36,50,105,120],"smaller-is-better":[37],"(S-type)":[38],"characteristic.":[40],"While":[41],"focusing":[42],"on":[43,60],"Cpu,":[46],"this":[47,83],"study":[48,84],"constructs":[49],"control":[52,74,116],"chart":[53,75],"monitor":[55],"short-term":[57,94,108],"based":[59],"exponentially":[62],"weighted":[63],"moving":[64],"average":[65,79],"(EWMA).":[66],"Simulations":[67],"have":[68],"shown":[69],"that":[70],"EWMA":[72],"is":[76],"adaptive":[77],"regarding":[78],"run":[80],"length.":[81],"Further,":[82],"applies":[85],"change-point":[86],"analysis":[87],"determine":[89],"whether":[90],"when":[92],"capability-level":[95],"changes.":[96],"Using":[97],"these":[98],"two":[99],"proposed":[100],"methods,":[101],"engineers":[102],"realize":[104],"variety":[106],"of":[107],"capabilities":[110],"in":[111],"good":[112],"time":[113],"implement":[115],"measures":[117],"efficiently":[118],"against":[119],"poor":[121],"long-term":[122],"capability.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2023-03-31T00:00:00"}
