{"id":"https://openalex.org/W4411338528","doi":"https://doi.org/10.1002/qre.3820","title":"A Bayesian Approach to EWMA Control Charts for Enhanced Monitoring of Pareto\u2010Based Processes","display_name":"A Bayesian Approach to EWMA Control Charts for Enhanced Monitoring of Pareto\u2010Based Processes","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411338528","doi":"https://doi.org/10.1002/qre.3820"},"language":"en","primary_location":{"id":"doi:10.1002/qre.3820","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.3820","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","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/A5118556677","display_name":"Fayyaz Labha","orcid":null},"institutions":[{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Fayyaz Labha","raw_affiliation_strings":["College of Statistical Sciences University of the Punjab  Lahore Pakistan"],"affiliations":[{"raw_affiliation_string":"College of Statistical Sciences University of the Punjab  Lahore Pakistan","institution_ids":["https://openalex.org/I172780181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073120075","display_name":"Nasrullah Khan","orcid":"https://orcid.org/0000-0003-0232-3260"},"institutions":[{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Nasrullah Khan","raw_affiliation_strings":["College of Statistical Sciences University of the Punjab  Lahore Pakistan"],"affiliations":[{"raw_affiliation_string":"College of Statistical Sciences University of the Punjab  Lahore Pakistan","institution_ids":["https://openalex.org/I172780181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101756722","display_name":"Muhammad Tahir","orcid":"https://orcid.org/0000-0003-0555-7353"},"institutions":[{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Tahir","raw_affiliation_strings":["College of Statistical Sciences University of the Punjab  Lahore Pakistan"],"affiliations":[{"raw_affiliation_string":"College of Statistical Sciences University of the Punjab  Lahore Pakistan","institution_ids":["https://openalex.org/I172780181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073120075"],"corresponding_institution_ids":["https://openalex.org/I172780181"],"apc_list":{"value":4330,"currency":"USD","value_usd":4330},"apc_paid":null,"fwci":1.5939,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85913371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"41","issue":"7","first_page":"3033","last_page":"3047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9811999797821045,"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/T11423","display_name":"Pesticide Residue Analysis and Safety","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.9173720479011536},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.8790141344070435},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6566365361213684},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5697142481803894},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.5488045811653137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4893907904624939},{"id":"https://openalex.org/keywords/pareto-chart","display_name":"Pareto chart","score":0.4475470781326294},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3241146504878998},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3164701461791992},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.25471746921539307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21484774351119995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20623305439949036}],"concepts":[{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.9173720479011536},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.8790141344070435},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6566365361213684},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5697142481803894},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.5488045811653137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4893907904624939},{"id":"https://openalex.org/C15165950","wikidata":"https://www.wikidata.org/wiki/Q128536","display_name":"Pareto chart","level":3,"score":0.4475470781326294},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3241146504878998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3164701461791992},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25471746921539307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21484774351119995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20623305439949036},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.3820","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.3820","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W102562848","https://openalex.org/W164300231","https://openalex.org/W1664431191","https://openalex.org/W2029785340","https://openalex.org/W2047676646","https://openalex.org/W2050830008","https://openalex.org/W2079248362","https://openalex.org/W2264006759","https://openalex.org/W2320758830","https://openalex.org/W2482573402","https://openalex.org/W2513398083","https://openalex.org/W2756093869","https://openalex.org/W2930279847","https://openalex.org/W2962974493","https://openalex.org/W2964710148","https://openalex.org/W3009020735","https://openalex.org/W3048162920","https://openalex.org/W3087502870","https://openalex.org/W3117747329","https://openalex.org/W4210653751","https://openalex.org/W4229980202","https://openalex.org/W4321789554","https://openalex.org/W4391930183","https://openalex.org/W4396673978"],"related_works":["https://openalex.org/W4245271849","https://openalex.org/W2126524872","https://openalex.org/W4235019031","https://openalex.org/W4386867921","https://openalex.org/W3200938883","https://openalex.org/W3201688424","https://openalex.org/W4381431108","https://openalex.org/W2931607628","https://openalex.org/W4250200591","https://openalex.org/W755050109"],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,127,142,178,241],"Pareto":[2,112],"distribution":[3,129,220],"is":[4,65,78,125,134,150,185,249],"widely":[5],"applied":[6],"in":[7,72,188,200,258,267],"actuarial":[8],"science,":[9],"wealth":[10],"distribution,":[11],"finance,":[12],"and":[13,122,136,166,192,204,210,221],"other":[14],"fields":[15],"where":[16],"data":[17,209,266],"exhibits":[18],"the":[19,38,58,107,131,145,153,182,201,217,223,228,245],"behavior":[20],"of":[21,37,57,110,130,144,169,244],"80%":[22],"issues":[23],"related":[24],"with":[25,251],"20%":[26],"reasons.":[27],"Bayesian":[28,63,80,97,137,147,183,236,246],"control":[29,49],"charts":[30],"(CCs)":[31],"are":[32,140,213,230],"increasingly":[33],"recognized":[34],"as":[35,161,262],"one":[36],"most":[39],"efficient":[40],"statistical":[41],"tools":[42],"for":[43,68,86,105,238],"process":[44,51,59,195,239],"monitoring":[45,106,263],"that":[46,181],"offer":[47,82],"enhanced":[48],"over":[50],"variation":[52],"by":[53,89],"using":[54,157],"prior":[55,76,91,119,208,218],"knowledge":[56,77],"parameters":[60],"distribution.":[61],"Thus,":[62],"methodology":[64],"particularly":[66],"effective":[67,187],"addressing":[69],"parametric":[70],"uncertainty":[71,191],"manufacturing":[73],"processes":[74],"when":[75],"available.":[79],"CCs":[81,88],"a":[83,96,234,252],"reliable":[84],"substitute":[85],"Classical":[87,154],"utilizing":[90],"information.":[92],"This":[93],"article":[94],"introduces":[95],"Exponentially":[98],"Weighted":[99],"Moving":[100],"Average":[101],"(EWMA)":[102],"CC":[103,149,184,248],"designed":[104],"shape":[108,123,132,202],"parameter":[109,124,133,190,203],"Lifetime":[111],"Distribution":[113],"(LPD)":[114],"processes.":[115],"Here,":[116],"we":[117],"incorporating":[118],"predictive":[120,219],"approach":[121],"estimated.":[126],"posterior":[128],"derived":[135],"estimates":[138],"(BEs)":[139],"calculated.":[141],"performance":[143,158],"proposed":[146],"EWMA":[148,155,247],"evaluated":[151],"against":[152],"chart,":[156],"metrics":[159],"such":[160,261],"average":[162],"run":[163],"length":[164],"(ARL)":[165],"Standard":[167],"Deviation":[168],"Run":[170],"Length":[171],"(SDRL),":[172],"obtained":[173],"from":[174],"Monte":[175],"Carlo":[176],"simulations.":[177],"results":[179],"indicate":[180],"more":[186],"handling":[189],"detecting":[193],"small":[194],"shifts,":[196],"across":[197],"various":[198],"shifts":[199],"sample":[205],"sizes.":[206],"Additionally,":[207],"expert":[211],"opinion":[212],"utilized":[214],"to":[215],"extract":[216],"elicit":[222],"hyper\u2010parameters.":[224],"In":[225],"practical":[226,242],"applications,":[227],"hyper\u2010parameters":[229],"determined":[231],"numerically,":[232],"offering":[233],"comprehensive":[235],"framework":[237],"monitoring.":[240],"utility":[243],"demonstrated,":[250],"particular":[253],"emphasis":[254],"on":[255],"its":[256],"flexibility":[257],"real\u2010world":[259],"scenarios,":[260],"survival":[264],"time":[265],"healthcare":[268],"settings.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-01T06:05:34.837733","created_date":"2025-10-10T00:00:00"}