Collaborative Optimization of Medical Supply Chains

Collaborative Optimization of Medical Supply Chains | 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 Collaborative Optimization of Medical Supply Chains Shreehari J, Arjun Suresh, Arjith A V This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3908716/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 This project introduces a collaborative scheme and mathematical model to optimize the storage and distribution of medical products in a unified demand environment. Focusing on supply chain robust- ness and environmental impact, the model considers a unified demand scenario where medical institutions combine their orders. The proposed approach incorporates a predictive model for demand, evaluating various forecasting models and employing optimization techniques to minimize costs while meeting resilience and environmental constraints. The study emphasizes the importance of sustainability and adaptability in medical supply chains, paving the way for future enhancements in deep learning predictions and advanced storage optimization strategies. Industrial Engineering Collaborative Scheme Mathematical Model Supply Chain Robustness Environmental Impact Unified Demand Scenario Deep Learning Predictions Storage Optimization Optimization Strategies Full Text Additional Declarations The authors declare no competing interests. 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. 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-3908716","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":269856093,"identity":"c4b11b8b-2084-46a0-b199-1ec21bf0b493","order_by":0,"name":"Shreehari J","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYDACCSBmbGBgYGM42PjgA5DDxk68lsOHDWeAtDATqwWoNk2aB0QT0iI/u/fhg4877PL5GM8YSNv82ibPx8zA+OFjDm4tBneOGxvOPJNs2cZwxsA4t++2YRszA7PkzG14tEiksUnztjEbsAG1JOf23GYEamFj5sWjRX5GGvvvv231YC2HLXtu2xPUwnAjjY2Zse0wUMuxxGaGH7cTCWoxuJHGLNnbdtwAFMiMvQ23k9uYGZvx+gXoMMYPP9uqDeRnHGz/8ePPbdv57c0HP3zE5zA4kDgAjKA2EAsSTUQAfpDCP0QqHgWjYBSMghEFAFf/UKuYXzy+AAAAAElFTkSuQmCC","orcid":"https://orcid.org/0009-0003-7238-9617","institution":"SASTRA University","correspondingAuthor":true,"prefix":"","firstName":"Shreehari","middleName":"","lastName":"J","suffix":""},{"id":269856856,"identity":"eb63d6bb-cc39-40b3-a090-0964b2021a5e","order_by":1,"name":"Arjun Suresh","email":"","orcid":"https://orcid.org/0009-0009-5805-0151","institution":"Amrita Vishwa Vidhyapeetham","correspondingAuthor":false,"prefix":"","firstName":"Arjun","middleName":"","lastName":"Suresh","suffix":""},{"id":269856857,"identity":"fb75a3ba-ba69-4bc2-900e-a5b196c59600","order_by":2,"name":"Arjith A V","email":"","orcid":"https://orcid.org/0009-0006-1691-0422","institution":"Amrita Vishwa Vidhyapeetham","correspondingAuthor":false,"prefix":"","firstName":"Arjith","middleName":"A","lastName":"V","suffix":""}],"badges":[],"createdAt":"2024-01-29 10:44:26","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-3908716/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3908716/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50337873,"identity":"2309a2e2-9290-4d71-8bec-9fd889febd4f","added_by":"auto","created_at":"2024-01-30 03:14:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":411406,"visible":true,"origin":"","legend":"","description":"","filename":"CollaborativeOptimizationofMedicalSupplyChains10.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3908716/v1_covered_8f12e9f8-570b-4eed-8101-0ea95699847c.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eCollaborative Optimization of Medical Supply Chains\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"SASTRA University","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":"Collaborative Scheme, Mathematical Model, Supply Chain Robustness, Environmental Impact, Unified Demand Scenario, Deep Learning Predictions, Storage Optimization, Optimization Strategies","lastPublishedDoi":"10.21203/rs.3.rs-3908716/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3908716/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis project introduces a collaborative scheme and mathematical model to optimize the storage and distribution of medical products in a unified demand environment. 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