TEWMA Dispersion Control Chart for Manufacturing Industry Monitoring

TEWMA Dispersion Control Chart for Manufacturing Industry Monitoring | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article TEWMA Dispersion Control Chart for Manufacturing Industry Monitoring Muhammad Arslan, Afshan Riaz, Huming Zhu, Walid Emam, Yusra Tashkandy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5880172/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract This article introduces a novel approach, the triple exponentially weighted moving average (TEWMA) control charting structure, designed to monitor the process coefficient of variation (CV) along three parametric log-normal transformations. The average run length (ARL) and standard deviation of the run length (SDRL) are considered as a performance measures, and both are computed through Monte Carlo simulations. A comparative analysis with an existing control chart enriches the study. For the practical importance of the suggested control charting structure a real-data set from the sanitary sector die-casting process is studied. Physical sciences/Mathematics and computing/Statistics Physical sciences/Engineering Triple exponentially weighted moving average Coefficient of variation average run length Standard deviation of run length Monte-Carlo simulation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 30 Apr, 2025 Reviews received at journal 30 Apr, 2025 Reviews received at journal 29 Apr, 2025 Reviewers agreed at journal 29 Apr, 2025 Reviewers agreed at journal 29 Apr, 2025 Reviewers invited by journal 28 Apr, 2025 Submission checks completed at journal 21 Apr, 2025 First submitted to journal 05 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5880172","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":449181089,"identity":"18df62ce-12cc-4e0b-aded-d977075e3f58","order_by":0,"name":"Muhammad Arslan","email":"","orcid":"","institution":"Hunan University","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"","lastName":"Arslan","suffix":""},{"id":449181090,"identity":"8db5ea7a-43f9-4364-af25-82226a910ed3","order_by":1,"name":"Afshan Riaz","email":"","orcid":"","institution":"University of Sargodha","correspondingAuthor":false,"prefix":"","firstName":"Afshan","middleName":"","lastName":"Riaz","suffix":""},{"id":449181091,"identity":"3404b30c-9e13-4273-bdca-367bfd6f14e5","order_by":2,"name":"Huming Zhu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3ElEQVRIiWNgGAWjYDACCQY2BgYDBh4GBuZjEJEDxGthSyNFCxjwmBGnRX52j9ljnoJtMub8a749LmxjkOO7kcD4uQCPFsY5Z8yNeQxu81jOeLvdeGYbg7HkjQRm6Rl4tDBL5JhJg7QY3Di7TZq3jSFxw40ENmYePFrYEFrOPANpqSeohQeu5XwPG0hLggEhLRISaWWSc8C2sAH1npMwnHnmYbM0Pi3yM5K3Sbz5c9ve4PzhZ9I8ZTbyfMeTD37GpwXJvgQwCcSMDURpYGDgP0CkwlEwCkbBKBhxAADZ3EL4Fa0NIgAAAABJRU5ErkJggg==","orcid":"","institution":"Hunan University","correspondingAuthor":true,"prefix":"","firstName":"Huming","middleName":"","lastName":"Zhu","suffix":""},{"id":449181092,"identity":"3adf8150-ec48-4503-b44f-a545d3a2a69f","order_by":3,"name":"Walid Emam","email":"","orcid":"","institution":"King Saud University","correspondingAuthor":false,"prefix":"","firstName":"Walid","middleName":"","lastName":"Emam","suffix":""},{"id":449181093,"identity":"a53b3d8e-6dc7-49f3-b6ce-877d11324ae6","order_by":4,"name":"Yusra Tashkandy","email":"","orcid":"","institution":"King Saud University","correspondingAuthor":false,"prefix":"","firstName":"Yusra","middleName":"","lastName":"Tashkandy","suffix":""}],"badges":[],"createdAt":"2025-01-22 10:53:48","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5880172/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5880172/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81645536,"identity":"626afa30-b818-49e7-b77d-b16358355672","added_by":"auto","created_at":"2025-04-29 14:31:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":418689,"visible":true,"origin":"","legend":"","description":"","filename":"latestpaperTEWMCV1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5880172/v1_covered_338c835a-ed75-44c1-833a-c4318be5a40e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"TEWMA Dispersion Control Chart for Manufacturing Industry Monitoring","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Triple exponentially weighted moving average, Coefficient of variation, average run length, Standard deviation of run length, Monte-Carlo simulation","lastPublishedDoi":"10.21203/rs.3.rs-5880172/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5880172/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis article introduces a novel approach, the triple exponentially weighted moving average (TEWMA) control charting structure, designed to monitor the process coefficient of variation (CV) along three parametric log-normal transformations. 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