{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:28:04Z","timestamp":1759336084397,"version":"build-2065373602"},"reference-count":27,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Quality &amp; Reliability Eng"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>The Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is a highly recommended chart in the literature to monitor processes with the aim of detecting small and moderate process shifts. The MEWMA chart is designed to detect a predetermined shift size but not a range of different shift sizes simultaneously. An adaptive version of the MEWMA chart, namely, the Multivariate Adaptive EWMA (MAEWMA) chart, was introduced to provide the adaptability property to the chart based on the shift size the process currently experiences. However, the MAEWMA chart is rarely considered in the literature, especially with attribute characteristics. Our study aims to design and evaluate the performance of the Poisson MAEWMA (P\u2010MAEWMA) chart. We additionally conduct a performance comparison between the proposed chart and two competing charts, which are the Poisson MEWMA (P\u2010MEWMA) and Poisson Hotelling's <jats:italic>T<\/jats:italic><jats:sup>2<\/jats:sup> (P\u2010<jats:italic>T<\/jats:italic><jats:sup>2<\/jats:sup>) charts. Our simulation results show that the proposed P\u2010MAEWMA chart can achieve the best average run length (ARL) performance across the entire range of shifts, and thus it is recommended to be used for detecting shifts of various sizes. An illustrative example is also presented to show the superiority of the P\u2010MAEWMA chart in diminishing the inertia effect compared to the P\u2010MEWMA chart.<\/jats:p>","DOI":"10.1002\/qre.70011","type":"journal-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T14:03:16Z","timestamp":1750687396000},"page":"3065-3075","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multivariate Poisson Adaptive EWMA Control Chart"],"prefix":"10.1002","volume":"41","author":[{"given":"Aya A.","family":"Aly","sequence":"first","affiliation":[{"name":"Faculty of Economics and Political Science Statistics Department Cairo University  Giza Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nesma A.","family":"Saleh","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Political Science Statistics Department Cairo University  Giza Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud A.","family":"Mahmoud","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Political Science Statistics Department Cairo University  Giza Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"e_1_2_7_2_1","first-page":"111","volume-title":"Techniques of Statistical Analysis","author":"Hotelling H.","year":"1947"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610928508829069"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/07408179508936797"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/0471667196.ess1742"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.829"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610920701648771"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","unstructured":"T. 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E.Chiu \u201cRegression\u2010Based Limits for Multivariate Poisson Control Chart \u201d2008 IEEE International Conference on Industrial Engineering and Engineering Management(IEEE 2008) 2051\u20132055 https:\/\/doi.org\/10.1109\/IEEM.2008.4738232.","DOI":"10.1109\/IEEM.2008.4738232"},{"volume-title":"Multivariate Charts for Multivariate Poisson\u2010Distributed Data","year":"2010","author":"Laungrungrong B.","key":"e_1_2_7_9_1"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610926.2012.667484"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.1490"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2016.1164837"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/16843703.2023.2246770"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/16843703.2018.1497935"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.2426"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11740-021-01074-y"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/08982112.2022.2102428"},{"key":"e_1_2_7_18_1","first-page":"1","article-title":"On Control Charts Based on Generalized Multiple Dependent State Sampling","author":"Saleh N. A.","year":"2025","journal-title":"Quality Technology & Quantitative Management"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/16843703.2017.1304035"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2018.1510477"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1955\/1\/012030"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1198\/004017003000000023"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610920902755813"},{"key":"e_1_2_7_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.1806"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.3002"},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118150719"},{"key":"e_1_2_7_27_1","doi-asserted-by":"publisher","DOI":"10.2307\/1269551"},{"key":"e_1_2_7_28_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000556"}],"container-title":["Quality and Reliability Engineering International"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/qre.70011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T08:55:49Z","timestamp":1759308949000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/qre.70011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":27,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["10.1002\/qre.70011"],"URL":"https:\/\/doi.org\/10.1002\/qre.70011","archive":["Portico"],"relation":{},"ISSN":["0748-8017","1099-1638"],"issn-type":[{"type":"print","value":"0748-8017"},{"type":"electronic","value":"1099-1638"}],"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-05-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-06-16","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-06-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}