{"id":"https://openalex.org/W1979919906","doi":"https://doi.org/10.1081/qen-120018399","title":"A Note on the Lower-Sided Synthetic Chart for Exponentials","display_name":"A Note on the Lower-Sided Synthetic Chart for Exponentials","publication_year":2003,"publication_date":"2003-05-08","ids":{"openalex":"https://openalex.org/W1979919906","doi":"https://doi.org/10.1081/qen-120018399","mag":"1979919906"},"language":"en","primary_location":{"id":"doi:10.1081/qen-120018399","doi":"https://doi.org/10.1081/qen-120018399","is_oa":false,"landing_page_url":"https://doi.org/10.1081/qen-120018399","pdf_url":null,"source":{"id":"https://openalex.org/S13624874","display_name":"Quality Engineering","issn_l":"0898-2112","issn":["0898-2112","1532-4222"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"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 Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5004465426","display_name":"Stephen M. Scariano","orcid":"https://orcid.org/0000-0002-4643-255X","observed_orcids":["https://orcid.org/0000-0002-4643-255X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stephen M. Scariano","raw_affiliation_strings":["a  Old South Distributing Company, Inc. ,  Kenner ,  Louisiana ,  USA","Old South Distributing Company, Inc. , Kenner , Louisiana , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a  Old South Distributing Company, Inc. ,  Kenner ,  Louisiana ,  USA","institution_ids":[]},{"raw_affiliation_string":"Old South Distributing Company, Inc. , Kenner , Louisiana , USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017574632","display_name":"Maria E. Calzada","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I173012211","display_name":"Loyola University New Orleans","ror":"https://ror.org/051f75a52","country_code":"US","type":"education","lineage":["https://openalex.org/I173012211"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria E. Calzada","raw_affiliation_strings":["b   Department of Mathematics and Computer Science , Loyola University ,  New Orleans ,  Louisiana ,  USA","Department of Mathematics and Computer Science , Loyola University , New Orleans , Louisiana , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"b   Department of Mathematics and Computer Science , Loyola University ,  New Orleans ,  Louisiana ,  USA","institution_ids":["https://openalex.org/I173012211"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science , Loyola University , New Orleans , Louisiana , USA","institution_ids":["https://openalex.org/I173012211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004465426"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2323,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.5976834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"15","issue":"4","first_page":"677","last_page":"680"},"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/T13500","display_name":"Probability and Statistical Research","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-control-chart","display_name":"synthetic control chart","score":0.9750000238418579},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.9769999980926514},{"id":"https://openalex.org/keywords/ewma-control-chart","display_name":"EWMA control chart","score":0.7760000228881836},{"id":"https://openalex.org/keywords/cusum-charts","display_name":"CUSUM charts","score":0.9990000128746033},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"statistical process control","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.97768235206604},{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.9314046502113342},{"id":"https://openalex.org/C167779127","wikidata":"https://www.wikidata.org/wiki/Q8041542","display_name":"X-bar chart","level":5,"score":0.8213694095611572},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.8182041645050049},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.798661470413208},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.797930121421814},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6243007183074951},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6025260090827942},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.4947964549064636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4441376328468323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4203653335571289},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.1404954195022583},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1081/qen-120018399","doi":"https://doi.org/10.1081/qen-120018399","is_oa":false,"landing_page_url":"https://doi.org/10.1081/qen-120018399","pdf_url":null,"source":{"id":"https://openalex.org/S13624874","display_name":"Quality Engineering","issn_l":"0898-2112","issn":["0898-2112","1532-4222"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"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 Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W112679860","https://openalex.org/W1543138833","https://openalex.org/W2793487410"],"related_works":["https://openalex.org/W2603464555","https://openalex.org/W3049059201","https://openalex.org/W2353723876","https://openalex.org/W47082858","https://openalex.org/W194400357","https://openalex.org/W1543138833","https://openalex.org/W2676542122","https://openalex.org/W7095797918","https://openalex.org/W2343606688","https://openalex.org/W4280607286"],"abstract_inverted_index":{"The":[0,25],"synthetic":[1,26,61],"control":[2,27,62],"chart":[3,28,40,46,63,69],"for":[4,14,29,47,64,70],"exponential":[5,54,88],"data":[6],"is":[7,12,31,41],"discussed":[8],"and":[9,49,56,74],"an":[10],"expression":[11],"derived":[13],"its":[15,22],"average":[16],"run":[17],"length,":[18],"as":[19,21],"well":[20],"design":[23],"parameters.":[24],"exponentials":[30,65],"shown":[32,78],"analytically":[33],"to":[34,79],"be":[35,80],"a":[36],"two-in-a-row":[37],"rule.":[38],"This":[39],"compared":[42],"with":[43,50],"the":[44,51,60,67,72,87],"Shewhart":[45,68],"individuals":[48],"worst-case,":[52],"lower-sided":[53],"EWMA":[55,73],"CUSUM":[57,75],"charts.":[58],"While":[59],"outperforms":[66],"individuals,":[71],"charts":[76],"are":[77],"far":[81],"superior":[82],"in":[83,86],"detecting":[84],"decreases":[85],"mean.":[89]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2016-06-24T00:00:00"}