{"id":"https://openalex.org/W4367319379","doi":"https://doi.org/10.3390/sym15050999","title":"A New Hybrid Exponentially Weighted Moving Average Control Chart with Repetitive Sampling for Monitoring the Coefficient of Variation","display_name":"A New Hybrid Exponentially Weighted Moving Average Control Chart with Repetitive Sampling for Monitoring the Coefficient of Variation","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4367319379","doi":"https://doi.org/10.3390/sym15050999"},"language":"en","primary_location":{"id":"doi:10.3390/sym15050999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15050999","pdf_url":"https://www.mdpi.com/2073-8994/15/5/999/pdf?version=1683192429","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/5/999/pdf?version=1683192429","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002461817","display_name":"Kanita Petcharat","orcid":"https://orcid.org/0000-0003-3438-4789"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanita Petcharat","raw_affiliation_strings":["Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-3438-4789","affiliations":[{"raw_affiliation_string":"Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025930205","display_name":"Suvimol Phanyaem","orcid":null},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Suvimol Phanyaem","raw_affiliation_strings":["Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069945313","display_name":"Yupaporn Areepong","orcid":"https://orcid.org/0000-0002-5103-9867"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Yupaporn Areepong","raw_affiliation_strings":["Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-5103-9867","affiliations":[{"raw_affiliation_string":"Applied Statistics Department, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]},{"raw_affiliation_string":"Applied Statistics Department, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025930205"],"corresponding_institution_ids":["https://openalex.org/I82828225"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.5267,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66146617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"5","first_page":"999","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.9112583994865417},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.7496963739395142},{"id":"https://openalex.org/keywords/x-bar-chart","display_name":"X-bar chart","score":0.7349945902824402},{"id":"https://openalex.org/keywords/control-limits","display_name":"Control limits","score":0.6894068717956543},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.6547513604164124},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6516677141189575},{"id":"https://openalex.org/keywords/shewhart-individuals-control-chart","display_name":"Shewhart individuals control chart","score":0.5970008969306946},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.59243243932724},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5397499799728394},{"id":"https://openalex.org/keywords/bar-x-and-r-chart","display_name":"\\bar x and R chart","score":0.5370335578918457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49074041843414307},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.39380818605422974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3492259979248047},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06045755743980408}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.9112583994865417},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.7496963739395142},{"id":"https://openalex.org/C167779127","wikidata":"https://www.wikidata.org/wiki/Q8041542","display_name":"X-bar chart","level":5,"score":0.7349945902824402},{"id":"https://openalex.org/C166623804","wikidata":"https://www.wikidata.org/wiki/Q5165860","display_name":"Control limits","level":4,"score":0.6894068717956543},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.6547513604164124},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6516677141189575},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.5970008969306946},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.59243243932724},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5397499799728394},{"id":"https://openalex.org/C129031352","wikidata":"https://www.wikidata.org/wiki/Q2597868","display_name":"\\bar x and R chart","level":5,"score":0.5370335578918457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49074041843414307},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39380818605422974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3492259979248047},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06045755743980408},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15050999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15050999","pdf_url":"https://www.mdpi.com/2073-8994/15/5/999/pdf?version=1683192429","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:209d1592dfa94508801f1e7fadb1a77d","is_oa":false,"landing_page_url":"https://doaj.org/article/209d1592dfa94508801f1e7fadb1a77d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 5, p 999 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/5/999/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15050999","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15050999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15050999","pdf_url":"https://www.mdpi.com/2073-8994/15/5/999/pdf?version=1683192429","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7900000214576721,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324344","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367319379.pdf","grobid_xml":"https://content.openalex.org/works/W4367319379.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W102681430","https://openalex.org/W159638240","https://openalex.org/W1990746329","https://openalex.org/W2047898306","https://openalex.org/W2097812801","https://openalex.org/W2126855287","https://openalex.org/W2131691836","https://openalex.org/W2151845101","https://openalex.org/W2591358774","https://openalex.org/W2901189455","https://openalex.org/W2908484171","https://openalex.org/W2915047301","https://openalex.org/W2955587006","https://openalex.org/W2997589259","https://openalex.org/W3093679495","https://openalex.org/W6733853118"],"related_works":["https://openalex.org/W2037626511","https://openalex.org/W19159520","https://openalex.org/W2228904849","https://openalex.org/W194400357","https://openalex.org/W1975925382","https://openalex.org/W1544415648","https://openalex.org/W2188833913","https://openalex.org/W2970521471","https://openalex.org/W2001940661","https://openalex.org/W4385828432"],"abstract_inverted_index":{"The":[0,21,141,165,192,213,258],"implementation":[1],"of":[2,23,33,56,64,113,137,154,161,204,253,260,283,297],"Statistical":[3],"Quality":[4],"Control":[5],"(SQC)":[6],"has":[7,188],"been":[8],"tracked":[9],"in":[10,48,220,243,280,295],"various":[11,37],"areas,":[12],"such":[13],"as":[14],"agriculture,":[15],"environment,":[16],"industry,":[17],"and":[18,31,42,72,135,175,286],"health":[19],"services.":[20],"employment":[22],"SQC":[24,46,58,87],"methodologies":[25],"is":[26,54,90,127,169,197,246,288],"frequently":[27],"employed":[28],"for":[29,92,109,131],"monitoring":[30,63,132],"identification":[32],"process":[34,139],"irregularities":[35],"across":[36],"fields.":[38],"This":[39,95],"research":[40,96],"proposes":[41],"implements":[43],"a":[44,100,117,138,189,278],"novel":[45,101],"methodology":[47],"agricultural":[49,68],"areas.":[50],"A":[51],"control":[52,76,107,124,143,155,163,167,177,207,215,228,256,264,274,293],"chart":[53,108,144,168,216,265,275,294],"one":[55],"the":[57,85,111,122,133,146,159,162,172,180,186,201,205,226,236,251,254,261,267,272,281,284,291,298],"tools":[59],"that":[60,271],"facilitates":[61],"real-time":[62],"multiple":[65],"activities,":[66],"including":[67],"yield,":[69,71],"industrial":[70],"hospital":[73],"outcomes.":[74],"Advanced":[75],"charts":[77,178,208],"with":[78,171],"symmetrical":[79],"data":[80,187,269],"are":[81],"being":[82],"subjected":[83],"to":[84,98,150,157,199,209,234,249,290],"new":[86],"method,":[88],"which":[89],"suitable":[91],"this":[93],"purpose.":[94],"aims":[97],"develop":[99],"hybrid":[102],"exponentially":[103],"weighted":[104],"moving":[105],"average":[106,181,299],"detecting":[110],"coefficient":[112],"variation":[114],"(CV)":[115],"using":[116],"repetitive":[118,147],"sampling":[119,148],"method":[120,196],"called":[121],"HEWMARS-CV":[123,142,263],"chart.":[125,164,229,257],"It":[126],"an":[128],"effective":[129],"tool":[130],"mean":[134],"variance":[136],"simultaneously.":[140],"used":[145],"scheme":[149],"generate":[151],"two":[152],"pairs":[153],"limits":[156],"enhance":[158],"performance":[160],"proposed":[166,206,214,255,262,273],"compared":[170],"classical":[173],"HEWMA":[174],"Shewhart":[176],"regarding":[179],"run":[182,300],"length":[183],"(ARL)":[184],"when":[185],"normal":[190],"distribution.":[191],"Monte":[193],"Carlo":[194],"simulation":[195],"utilized":[198],"approximate":[200],"ARL":[202],"values":[203,222],"determine":[210],"their":[211],"performance.":[212],"detects":[217],"small":[218],"shifts":[219],"CV":[221,282],"more":[223],"effectively":[224],"than":[225],"existing":[227,292],"An":[230],"illustrative":[231],"application":[232],"related":[233],"monitor":[235],"wheat":[237],"yield":[238],"at":[239],"Rothamsted":[240],"Experimental":[241],"Station":[242],"Great":[244],"Britain":[245],"also":[247],"incorporated":[248],"demonstrate":[250],"efficiency":[252,259],"on":[266],"real":[268],"shows":[270],"can":[276],"detect":[277],"shift":[279],"process,":[285],"it":[287],"superior":[289],"terms":[296],"length.":[301]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}