{"id":"https://openalex.org/W4411829006","doi":"https://doi.org/10.1002/qre.70015","title":"On the Monitoring of Inverse Gaussian Shape Parameter Using Bayesian CUSUM Charts Under Different Loss Criteria","display_name":"On the Monitoring of Inverse Gaussian Shape Parameter Using Bayesian CUSUM Charts Under Different Loss Criteria","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4411829006","doi":"https://doi.org/10.1002/qre.70015"},"language":"en","primary_location":{"id":"doi:10.1002/qre.70015","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70015","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/A5062005906","display_name":"Amara Javed","orcid":"https://orcid.org/0000-0002-5772-7652"},"institutions":[{"id":"https://openalex.org/I43879129","display_name":"Government College University, Lahore","ror":"https://ror.org/040gec961","country_code":"PK","type":"education","lineage":["https://openalex.org/I43879129"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Amara Javed","raw_affiliation_strings":["Department of Statistics Government College University Lahore  Lahore Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Government College University Lahore  Lahore Pakistan","institution_ids":["https://openalex.org/I43879129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007292153","display_name":"Tahir Abbas","orcid":"https://orcid.org/0000-0002-0968-3261"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tahir Abbas","raw_affiliation_strings":["Department of Mathematics College of Sciences University of Sharjah  Sharjah United\u00a0Arab\u00a0Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics College of Sciences University of Sharjah  Sharjah United\u00a0Arab\u00a0Emirates","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083405228","display_name":"Nasir Abbas","orcid":"https://orcid.org/0000-0002-8622-5467"},"institutions":[{"id":"https://openalex.org/I882648815","display_name":"Government College of Science","ror":"https://ror.org/02d1vh520","country_code":"PK","type":"education","lineage":["https://openalex.org/I882648815"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nasir Abbas","raw_affiliation_strings":["Department of Statistics Government Graduate College  Jhang Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Government Graduate College  Jhang Pakistan","institution_ids":["https://openalex.org/I882648815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946725","display_name":"Jamal Abdul Nasir","orcid":"https://orcid.org/0000-0002-3095-7028"},"institutions":[{"id":"https://openalex.org/I43879129","display_name":"Government College University, Lahore","ror":"https://ror.org/040gec961","country_code":"PK","type":"education","lineage":["https://openalex.org/I43879129"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Jamal Abdul Nasir","raw_affiliation_strings":["Department of Statistics Government College University Lahore  Lahore Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Government College University Lahore  Lahore Pakistan","institution_ids":["https://openalex.org/I43879129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007292153"],"corresponding_institution_ids":[],"apc_list":{"value":4550,"currency":"USD","value_usd":4550},"apc_paid":null,"fwci":1.0745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78096663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"41","issue":"7","first_page":"3161","last_page":"3175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9980000257492065,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cusum","display_name":"CUSUM","score":0.9168089628219604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5775302648544312},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5650399923324585},{"id":"https://openalex.org/keywords/inverse-gaussian-distribution","display_name":"Inverse Gaussian distribution","score":0.538677990436554},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48150762915611267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46298494935035706},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.43715909123420715},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42721468210220337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.375759482383728},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11674028635025024},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10355779528617859},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.08110582828521729}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.9168089628219604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5775302648544312},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5650399923324585},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.538677990436554},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48150762915611267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46298494935035706},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.43715909123420715},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42721468210220337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.375759482383728},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11674028635025024},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10355779528617859},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.08110582828521729},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.70015","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70015","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1968494431","https://openalex.org/W1992997967","https://openalex.org/W2044036264","https://openalex.org/W2051903196","https://openalex.org/W2484571116","https://openalex.org/W2756111382","https://openalex.org/W2797899062","https://openalex.org/W2886051624","https://openalex.org/W2902530062","https://openalex.org/W2914877393","https://openalex.org/W2942699916","https://openalex.org/W2962974493","https://openalex.org/W2967889642","https://openalex.org/W2979944552","https://openalex.org/W2995461847","https://openalex.org/W3042761863","https://openalex.org/W3042921247","https://openalex.org/W3081577981","https://openalex.org/W3085950237","https://openalex.org/W3108104092","https://openalex.org/W3135188034","https://openalex.org/W3158060060","https://openalex.org/W3204476393","https://openalex.org/W4245276699","https://openalex.org/W4289784645","https://openalex.org/W4302420972","https://openalex.org/W4309491228","https://openalex.org/W4378220071","https://openalex.org/W4386220345","https://openalex.org/W4391576382","https://openalex.org/W4391612272","https://openalex.org/W4394927138","https://openalex.org/W4396673978","https://openalex.org/W4398146814","https://openalex.org/W4402006731","https://openalex.org/W4403472063","https://openalex.org/W4404290181","https://openalex.org/W4406630214","https://openalex.org/W4407168442","https://openalex.org/W4410288272","https://openalex.org/W6661784505"],"related_works":["https://openalex.org/W2056974159","https://openalex.org/W2753583628","https://openalex.org/W2138199368","https://openalex.org/W1788036421","https://openalex.org/W2168691855","https://openalex.org/W2930298464","https://openalex.org/W2736139738","https://openalex.org/W4255702448","https://openalex.org/W3113238591","https://openalex.org/W3144075977"],"abstract_inverted_index":{"ABSTRACT":[0],"Bayesian":[1,57],"control":[2,62],"charts":[3,80,104,114,119,129],"(BCCs)":[4],"have":[5],"gained":[6],"prominence":[7],"as":[8],"effective":[9],"tools":[10],"for":[11,42],"tracking":[12],"manufacturing":[13,154],"processes":[14],"and":[15,52,78,135,161],"managing":[16],"variability":[17],"with":[18],"precision.":[19],"Their":[20],"strength":[21],"lies":[22],"in":[23,31,120,123],"addressing":[24],"parameter":[25,45],"uncertainty,":[26],"making":[27],"them":[28],"especially":[29],"valuable":[30],"industrial":[32],"applications.":[33],"This":[34],"research":[35],"aims":[36],"to":[37,53,138],"define":[38],"a":[39,66,84],"monitoring":[40],"boundary":[41],"the":[43,47,76,97,100,124,143,146],"shape":[44,125],"of":[46,86,99],"Inverse":[48],"Gaussian":[49],"Distribution":[50],"(IGD)":[51],"construct":[54],"several":[55],"non\u2010informative":[56],"(NIB)":[58],"cumulative":[59],"sum":[60],"(CUSUM)":[61],"charts,":[63],"each":[64],"incorporating":[65],"distinct":[67],"loss":[68],"function":[69],"(LF).":[70],"To":[71,141],"evaluate":[72],"their":[73],"efficacy,":[74],"both":[75],"proposed":[77,147],"existing":[79],"are":[81],"examined":[82],"using":[83],"range":[85],"performance":[87,98],"indicators.":[88],"Through":[89],"comprehensive":[90],"simulation":[91,144],"studies":[92],"across":[93],"various":[94],"sample":[95],"sizes,":[96],"new":[101],"NIB":[102,128],"CUSUM":[103,118],"is":[105,149],"thoroughly":[106],"investigated.":[107],"Results":[108],"consistently":[109],"show":[110],"that":[111],"these":[112],"Bayesian\u2010based":[113],"surpass":[115],"traditional":[116],"classical":[117],"identifying":[121],"changes":[122],"parameter.":[126],"The":[127],"offer":[130],"improved":[131],"fault":[132],"detection":[133],"accuracy":[134],"heightened":[136],"responsiveness":[137],"process":[139,155],"variations.":[140],"reinforce":[142],"outcomes,":[145],"approach":[148],"also":[150],"tested":[151],"on":[152],"real":[153],"data,":[156],"confirming":[157],"its":[158],"practical":[159],"applicability":[160],"effectiveness.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
