Fleet and Route Optimization in Offshore Support Logistics | 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 Fleet and Route Optimization in Offshore Support Logistics Eric Filipi Achado, Rui Carlos Botter This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7849121/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 With the rapid growth of offshore oil and gas production along the Brazilian coast, more higher-capacity production platforms are being built to operate in deepwater. Consequently, this has led to a significant increase in the number of supply vessels used, which are often not used efficiently, leading to re-source waste. The need to reduce these costs has become a reality for offshore operators, especially smaller ones. Given this scenario, this work aims to as-sist planners in the design of offshore supply operations. To achieve this goal, Operations Research (OR) is used to create a system of linear equations that models the supply process. The algorithm solves this system using the Simplex method to minimize Operating Expenditures (OPEX) and Capital Expenditures (CAPEX), yielding the minimum total cost. In addition, it presents the composition of the fleet, the periodic schedule of trips for each vessel, and the routes for each trip in order to achieve this cost value. PLIM Oil and Gas Dashboard 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. 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-7849121","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":534983463,"identity":"6eb72f34-48af-4a65-90a4-5f36406cb3d9","order_by":0,"name":"Eric Filipi 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cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.