Research on the testing duration of reliability growth planning

Research on the testing duration of reliability growth planning | 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 Research Article Research on the testing duration of reliability growth planning Zhongsheng Li, Yunpin Wei This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4389203/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Reliability growth plans are typically described by using reliability growth planning models that generate growth planning curves. The PM2 model, also known as the planning model based on projection methodology, is a widely used growth planning model. The PM2 model can always meet the assigned reliability target during any reliability growth testing duration, regardless of changes in the management strategy parameter and/or the fixed effectiveness factor parameter. In fact, these two parameters determine whether reliability growth testing is successful or not and how long it takes. That is, the PM2 model currently in place needs to be modified accordingly. Firstly, a sensitivity analysis is carried out on the three parameters of the PM2 model, followed by a discussion on the correlation between the product of two process management parameters and the duration of testing. Then, a relationship equation for the testing duration is constructed using these two process management parameters. Finally, an extended model for planning reliability growth has been proposed. In addition, the proposed planning model is utilized to examine an illustrated example and a real case. The results have demonstrated that the model is reasonable and reliable, as the subjective input, testing duration, was removed from the reliability growth planning model. Reliability Growth PM2 Model Nonlinear Equation Engineering Management testing duration Sensitivity Analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. 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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-4389203","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":301085218,"identity":"4e2a1d34-1407-47d6-80ec-159b25664ebd","order_by":0,"name":"Zhongsheng Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIiWNgGAWjYBACNv7mAwcSKiTk7NubDz5IqKghrIVP4ljigQ9nbIwNeI4lGzw4c4ywFjmGHOODM9vSEjdI5JhJPmxhJsJhDGcMDvO2HU7cznPArCKxgY2Bv707Ab8W5raCwzznDhvvbG9Iu5G4Q4ZB4szZDQRsObzhME/ZYdmGMweO3Ug8w8ZgIJFLSEuCwWEetsOMDTcS2woS25iJ0ZJicHBGW5rihhvJbAzEaZE4lgAOZMmeY8wSCWeO8RD0i3x/8+EPoKjkZ+//+PFHRY0cf3svfi0YgIc05aNgFIyCUTAKsAIA4uZU8buGcFIAAAAASUVORK5CYII=","orcid":"","institution":"Tangshan University","correspondingAuthor":true,"prefix":"","firstName":"Zhongsheng","middleName":"","lastName":"Li","suffix":""},{"id":301085219,"identity":"9cb8b2c4-2b8a-40d0-be15-21880aac5289","order_by":1,"name":"Yunpin Wei","email":"","orcid":"","institution":"Tangshan University","correspondingAuthor":false,"prefix":"","firstName":"Yunpin","middleName":"","lastName":"Wei","suffix":""}],"badges":[],"createdAt":"2024-05-08 12:12:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4389203/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4389203/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56513616,"identity":"689b5ad5-89cd-4d47-82c0-22ef0f79bb93","added_by":"auto","created_at":"2024-05-15 07:10:07","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":494078,"visible":true,"origin":"","legend":"","description":"","filename":"Researchonthetestingdurationofreliabilitygrowthplanning.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4389203/v1_covered_506593e4-26cf-4374-8346-658fcb196a69.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on the testing duration of reliability growth planning","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Reliability Growth, PM2 Model, Nonlinear Equation, Engineering Management, testing duration, Sensitivity Analysis","lastPublishedDoi":"10.21203/rs.3.rs-4389203/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4389203/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eReliability growth plans are typically described by using reliability growth planning models that generate growth planning curves. 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