{"id":"https://openalex.org/W3181855422","doi":"https://doi.org/10.1080/00207543.2021.1943035","title":"Revised triple sampling <i>X</i> control charts for the mean with known and estimated process parameters","display_name":"Revised triple sampling <i>X</i> control charts for the mean with known and estimated process parameters","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3181855422","doi":"https://doi.org/10.1080/00207543.2021.1943035","mag":"3181855422"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.1943035","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1943035","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"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":"International Journal of Production Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03759546","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042152237","display_name":"Faijun Nahar Mim","orcid":"https://orcid.org/0000-0002-4181-0523"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Faijun Nahar Mim","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Minden, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040725427","display_name":"Michael B. C. Khoo","orcid":"https://orcid.org/0000-0002-3245-1127"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Michael B. C. Khoo","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Minden, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043492080","display_name":"Sajal Saha","orcid":"https://orcid.org/0000-0002-9878-4899"},"institutions":[{"id":"https://openalex.org/I4210132231","display_name":"International University of Business Agriculture and Technology","ror":"https://ror.org/02m32cr13","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210132231"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sajal Saha","raw_affiliation_strings":["Department of Mathematics, International University of Business Agriculture and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, International University of Business Agriculture and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210132231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017075455","display_name":"Philippe Castagliola","orcid":"https://orcid.org/0000-0002-9532-4029"},"institutions":[{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Castagliola","raw_affiliation_strings":["Universit\u00e9 de Nantes & LS2N UMR CNRS 6004, Nantes, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Nantes & LS2N UMR CNRS 6004, Nantes, France","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040725427"],"corresponding_institution_ids":["https://openalex.org/I139322472"],"apc_list":null,"apc_paid":null,"fwci":0.9467,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87739183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"60","issue":"16","first_page":"4911","last_page":"4935"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9714000225067139,"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"}},{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9714000225067139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/x-bar-chart","display_name":"X-bar chart","score":0.7535405158996582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6920496225357056},{"id":"https://openalex.org/keywords/bar-x-and-r-chart","display_name":"\\bar x and R chart","score":0.6807424426078796},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6654990911483765},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.6650781631469727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6392778754234314},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6234294772148132},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5564847588539124},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5552034974098206},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.3933488428592682},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3511187434196472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3511011600494385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18993273377418518}],"concepts":[{"id":"https://openalex.org/C167779127","wikidata":"https://www.wikidata.org/wiki/Q8041542","display_name":"X-bar chart","level":5,"score":0.7535405158996582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6920496225357056},{"id":"https://openalex.org/C129031352","wikidata":"https://www.wikidata.org/wiki/Q2597868","display_name":"\\bar x and R chart","level":5,"score":0.6807424426078796},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6654990911483765},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6650781631469727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6392778754234314},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6234294772148132},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5564847588539124},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5552034974098206},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.3933488428592682},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3511187434196472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3511011600494385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18993273377418518},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00207543.2021.1943035","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1943035","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"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":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03759546v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03759546","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Production Research, 2022, 60 (16), pp.4911-4935. &#x27E8;10.1080/00207543.2021.1943035&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:60:y:2022:i:16:p:4911-4935","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.1943035","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03759546v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03759546","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Production Research, 2022, 60 (16), pp.4911-4935. &#x27E8;10.1080/00207543.2021.1943035&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7559670924","display_name":null,"funder_award_id":"1001.PMATHS.8011039","funder_id":"https://openalex.org/F4320322757","funder_display_name":"Universiti Sains Malaysia"}],"funders":[{"id":"https://openalex.org/F4320322757","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1507505361","https://openalex.org/W1530620413","https://openalex.org/W1559724978","https://openalex.org/W1950721392","https://openalex.org/W1970820077","https://openalex.org/W1971372607","https://openalex.org/W1976178141","https://openalex.org/W2004174219","https://openalex.org/W2020660868","https://openalex.org/W2072702621","https://openalex.org/W2074413692","https://openalex.org/W2091366753","https://openalex.org/W2132874092","https://openalex.org/W2154523920","https://openalex.org/W2267199361","https://openalex.org/W2314937088","https://openalex.org/W2325111800","https://openalex.org/W2344631905","https://openalex.org/W2601151255","https://openalex.org/W2742578968","https://openalex.org/W2763240368","https://openalex.org/W2766388683","https://openalex.org/W2767888445","https://openalex.org/W2769492143","https://openalex.org/W2773322182","https://openalex.org/W2790529110","https://openalex.org/W2800119807","https://openalex.org/W2804411355","https://openalex.org/W2891140249","https://openalex.org/W2895058363","https://openalex.org/W2898721540","https://openalex.org/W2904977337","https://openalex.org/W2923376618","https://openalex.org/W2938736586","https://openalex.org/W2940910437","https://openalex.org/W2948156074","https://openalex.org/W2949789378","https://openalex.org/W2995572760","https://openalex.org/W3004790241","https://openalex.org/W3005541373","https://openalex.org/W3048162920","https://openalex.org/W3108104092","https://openalex.org/W3123612990","https://openalex.org/W4302770366"],"related_works":["https://openalex.org/W1975925382","https://openalex.org/W2327446513","https://openalex.org/W1544415648","https://openalex.org/W2037626511","https://openalex.org/W194400357","https://openalex.org/W1949296393","https://openalex.org/W3099956427","https://openalex.org/W2001940661","https://openalex.org/W4385828432","https://openalex.org/W4380272213"],"abstract_inverted_index":{"The":[0,38,53],"primary":[1],"aim":[2,40],"of":[3,19,28,97,103,111,118,122,130,134,158],"this":[4],"research":[5],"is":[6,41,185],"to":[7,42,99,124,136,148],"propose":[8],"a":[9,152],"revised":[10,45,54,142,169],"triple":[11,30],"sampling":[12,31,63],"(TS)":[13,32],"X\u00af":[14,33,47,56,72,80,144,171],"chart,":[15],"where":[16,140],"the":[17,24,29,44,61,90,104,112,119,131,141,155,163,168,178],"derivations":[18],"new":[20],"formulae":[21],"for":[22,161],"computing":[23],"average":[25,91,95,102,105,113,117,120,132],"run":[26,92,106,114],"length":[27,93],"chart":[34,48,172],"correctly":[35],"are":[36,58,85,146],"provided.":[37,186],"secondary":[39],"develop":[43],"TS":[46,55,143,170],"with":[49,60,173],"estimated":[50,88,174],"process":[51,83,164,175],"parameters.":[52],"charts":[57,81,145],"compared":[59],"double":[62],"(DS)":[64],"X\u00af,":[65],"two":[66],"stage":[67,75],"adaptive":[68,76],"sample":[69,77],"size":[70,78],"(AS2)":[71],"and":[73,87,127,182],"three":[74],"(AS3)":[79],"when":[82],"parameters":[84,176],"known":[86],"using":[89],"(ARL),":[94],"number":[96,121,133,157],"observations":[98,123,135],"signal":[100,125,137],"(ANOS),":[101],"lengths":[107,115],"(AARL),":[108],"standard":[109,128],"deviation":[110,129],"(SDARL),":[116],"(AANOS)":[126],"(SDANOS)":[138],"criteria,":[139],"found":[147],"be":[149],"superior.":[150],"Additionally,":[151],"table":[153],"giving":[154],"minimum":[156],"Phase-I":[159],"samples":[160],"estimating":[162],"mean":[165],"so":[166],"that":[167],"has":[177],"desired":[179],"in-control":[180],"AARL":[181],"AANOS":[183],"performances":[184]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-07-19T00:00:00"}
