Integrating Bayesian Learning and Discrete Event Modeling for Adaptive Facility Layout in Remanufacturing

Integrating Bayesian Learning and Discrete Event Modeling for Adaptive Facility Layout in Remanufacturing | 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 Integrating Bayesian Learning and Discrete Event Modeling for Adaptive Facility Layout in Remanufacturing Toluwalase Olajoyegbe, Fatemeh Mozaffar, Xiaoou Yang, Beshoy Morkos This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6649398/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Mar, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract The landscape of production has evolved drastically from its nascency. The emergence of diverse demand, globalization, environmental and alternative aspects of the global economy, constitute greater complexity in manufacturing. The need for companies to stay competitive warrant robust business models and systems capable of accommodating uncertainty in markets. Increased attention to sustainability in manufacturing is promoting re-manufacturing directives poised to extend product service life which could present uncertainty in supply. This paper proposes a framework and modeling approach to equip manufacturing systems to respond to uncertainty in market demand and supply, with motivation nested in remanufacturing techniques that mitigate compromise in stakeholder requirements whilst accommodating more sustainable practice. The proposed production model implements Bayesian inferential data driven capability to account for uncertainty, heuristics methods in the form of genetic algorithms for adaptability to system deliverables, and discrete modeling approaches to simulate shop floor behavior through the generation of sample paths. Remanufacturing Bayesian Inference Dirichlet Distribution Discrete Event Simulation Full Text Cite Share Download PDF Status: Published Journal Publication published 07 Mar, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Major Revisions Needed 10 Nov, 2025 Reviewers agreed at journal 25 May, 2025 Reviewers invited by journal 14 May, 2025 Editor assigned by journal 14 May, 2025 First submitted to journal 12 May, 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. 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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-6649398","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":456604555,"identity":"ae544abd-8f17-4dab-85e8-024c6c81e056","order_by":0,"name":"Toluwalase Olajoyegbe","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Toluwalase","middleName":"","lastName":"Olajoyegbe","suffix":""},{"id":456604556,"identity":"c41635d1-be51-43fb-8dd5-da6c48ac7ba4","order_by":1,"name":"Fatemeh Mozaffar","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Fatemeh","middleName":"","lastName":"Mozaffar","suffix":""},{"id":456604557,"identity":"54cc3efc-c4d7-4eb6-a5a7-8c3068741f2a","order_by":2,"name":"Xiaoou Yang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Xiaoou","middleName":"","lastName":"Yang","suffix":""},{"id":456604558,"identity":"f6fcec95-2765-49b9-ba43-448ac5b94392","order_by":3,"name":"Beshoy Morkos","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsUlEQVRIiWNgGAWjYBACAyBmbGBgkINw2UjQYky6lsQGorWYix0+9nFGRV36hvOLHzB8KDtMWIvl7LTkmRvOHM7dcOOZAeOMc0RoMbidY8z4sO0AUMsBA2beNuK11KUb3Dj+gfkv0Vo2tjEnGJzvMWBmJEYLyC+MM84cNpx5g6fgYM+5dMJazKWTDzP2VNTJ850/vvHBjzJrwloQQCKB4QAp6oGAn1QNo2AUjIJRMGIAADDuQKlyESwjAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-6656-3610","institution":"University of Georgia","correspondingAuthor":true,"prefix":"","firstName":"Beshoy","middleName":"","lastName":"Morkos","suffix":""}],"badges":[],"createdAt":"2025-05-12 19:46:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6649398/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6649398/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00170-026-17595-8","type":"published","date":"2026-03-07T15:57:09+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":104250595,"identity":"2a64d1b4-faad-45c1-bbc7-e99522d32cdc","added_by":"auto","created_at":"2026-03-09 16:01:27","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1153797,"visible":true,"origin":"","legend":"","description":"","filename":"Journal.JobShop.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6649398/v1_covered_abcbc415-a085-4468-87d8-c40088fbc8a9.pdf"}],"financialInterests":"","formattedTitle":"Integrating Bayesian Learning and Discrete Event Modeling for Adaptive Facility Layout in Remanufacturing","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":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Remanufacturing, Bayesian Inference, Dirichlet Distribution, Discrete Event Simulation","lastPublishedDoi":"10.21203/rs.3.rs-6649398/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6649398/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe landscape of production has evolved drastically from its nascency. 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