{"id":"https://openalex.org/W4403309953","doi":"https://doi.org/10.1016/j.cie.2024.110615","title":"Omnibus control charts for Poisson counts","display_name":"Omnibus control charts for Poisson counts","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4403309953","doi":"https://doi.org/10.1016/j.cie.2024.110615"},"language":"en","primary_location":{"id":"doi:10.1016/j.cie.2024.110615","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2024.110615","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cie.2024.110615","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078285166","display_name":"Christian Wei\u00df","orcid":"https://orcid.org/0000-0001-8739-6631"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian H. Wei\u00df","raw_affiliation_strings":["Department of Mathematics and Statistics, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany","institution_ids":["https://openalex.org/I190134885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078285166"],"corresponding_institution_ids":["https://openalex.org/I190134885"],"apc_list":{"value":3310,"currency":"USD","value_usd":3310},"apc_paid":{"value":3310,"currency":"USD","value_usd":3310},"fwci":2.6154,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90769422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"198","issue":null,"first_page":"110615","last_page":"110615"},"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9652000069618225,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.659935474395752},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5962437391281128},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44294285774230957},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3421348035335541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34042179584503174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33506202697753906},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.04989790916442871}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.659935474395752},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5962437391281128},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44294285774230957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3421348035335541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34042179584503174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33506202697753906},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.04989790916442871},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cie.2024.110615","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2024.110615","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.cie.2024.110615","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2024.110615","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers &amp; Industrial Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W180089130","https://openalex.org/W263731622","https://openalex.org/W1539289781","https://openalex.org/W1580886151","https://openalex.org/W1989083215","https://openalex.org/W2053008663","https://openalex.org/W2068704699","https://openalex.org/W2091000156","https://openalex.org/W2091610487","https://openalex.org/W2114055663","https://openalex.org/W2127084686","https://openalex.org/W2157202423","https://openalex.org/W2158320075","https://openalex.org/W2399991609","https://openalex.org/W2561319692","https://openalex.org/W2927394971","https://openalex.org/W2967203127","https://openalex.org/W3001312559","https://openalex.org/W4205562332","https://openalex.org/W4300628050","https://openalex.org/W4377233049","https://openalex.org/W6632189097","https://openalex.org/W6640161733","https://openalex.org/W6675101250","https://openalex.org/W6853141321","https://openalex.org/W6860770259"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W4322722556","https://openalex.org/W2134972478","https://openalex.org/W2048563262"],"abstract_inverted_index":{"Traditional":[0],"control":[1,51,140,149],"charts":[2,38,52,130,141],"for":[3,8,53,142],"Poisson":[4,19,54,143],"counts":[5,55],"are":[6,56,59,93,131],"tailor-made":[7],"detecting":[9],"changes":[10,28,67],"in":[11,102],"the":[12,18,26,31,34,43,88,118,126],"process":[13,66,80],"mean":[14,27],"while":[15],"assuming":[16],"that":[17],"assumption":[20],"is":[21,70],"not":[22],"violated.":[23],"But":[24],"if":[25],"together":[29],"with":[30,95,133],"distribution":[32],"family,":[33],"performance":[35],"of":[36,65,125],"these":[37],"may":[39],"deviate":[40],"considerably":[41],"from":[42],"expected":[44],"out-of-control":[45],"behavior.":[46],"In":[47],"this":[48],"research,":[49],"omnibus":[50,75,120,128],"developed,":[57],"which":[58],"sensitive":[60],"to":[61,79,110,116],"a":[62],"broad":[63],"variety":[64],"(\u201call-rounders\u201d).":[68],"This":[69],"achieved":[71],"by":[72],"adapting":[73],"common":[74],"goodness-of-fit":[76],"(GoF)":[77],"tests":[78,153],"monitoring.":[81],"More":[82],"precisely,":[83],"different":[84],"GoF-tests":[85],"based":[86,154],"on":[87,114],"probability":[89,155],"generating":[90,156],"function":[91],"(pgf)":[92],"combined":[94],"an":[96],"exponentially":[97],"weighted":[98,147],"moving-average":[99,148],"(EWMA)":[100],"approach":[101],"various":[103],"ways.":[104],"A":[105],"comprehensive":[106],"simulation":[107],"study":[108],"leads":[109],"clear":[111],"design":[112],"recommendations":[113],"how":[115],"achieve":[117],"desired":[119],"property.":[121],"The":[122],"practical":[123],"benefits":[124],"proposed":[127],"EWMA":[129],"demonstrated":[132],"several":[134],"real-world":[135],"data":[136],"examples.":[137],"\u2022":[138,145,151,158,161],"Omnibus":[139],"counts.":[144],"Exponentially":[146],"chart.":[150],"Goodness-of-fit":[152],"function.":[157],"ARL":[159],"performance.":[160],"Overdispersion,":[162],"underdispersion,":[163],"or":[164],"zero":[165],"inflation.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
