Multi-Objective Robust Optimization of Blood Supply Planning using Mobile Blood Collection Centers after Earthquakes: A Case of Istanbul

Multi-Objective Robust Optimization of Blood Supply Planning using Mobile Blood Collection Centers after Earthquakes: A Case of Istanbul | 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 Multi-Objective Robust Optimization of Blood Supply Planning using Mobile Blood Collection Centers after Earthquakes: A Case of Istanbul Seyed Amin Seyfi, Sule Itir Satoglu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7784950/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 The critical elements of any healthcare system involve ensuring a secure, steady, and well-balanced provision of life-saving materials and products to aid injured individuals. Blood products present challenges due to their perishability, limited availability, and constraints on inventory management. Managing the blood supply chain effectively is imperative to consistently meet demand, especially during disasters. This study aims to develop a robust blood supply plan utilizing mobile blood centers to address uncertain demand following earthquakes. The goal is to minimize the total anticipated supply shortfall and delivery time. To achieve this, we developed a multi-objective robust optimization (MORO) model to tackle the high levels of uncertainty inherent in disaster scenarios. A practical application of the proposed methodology is examined through a case study involving a significant earthquake in Istanbul, focusing on the Avcilar district. The price of robustness is calculated to compare the performance of the proposed deterministic and robust models in achieving their objectives. A sensitivity analysis is also conducted on uncertain parameters to validate the model's reliability. The findings offer valuable managerial insights, such that reinforcement of the main blood center buildings and alternative modes of transportation may help cope with more-than-expected blood demand in major earthquake scenarios. Operations Research Industrial Engineering Blood supply planning earthquake robust optimization multi-objective mathematical model 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. 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