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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v7i6.9189</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Optimization Analysis of Reverse Logistics Models in Supply Chains from the Perspective of Sustainable Development</title><url>https://artdesignp.com/journal/PBES/7/6/10.26689/pbes.v7i6.9189</url><author>YangChen</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>7</volume><issue>6</issue><history><date date-type="pub"><published-time>2024-12-24</published-time></date></history><abstract>With the increasing focus on sustainable development goals, the critical role of reverse logistics in supply chains is becoming more evident. Reverse logistics not only enables resource recovery and reuse but also reduces environmental pollution and enhances economic efficiency. However, existing models face significant challenges related to recovery efficiency, cost control, and supply chain coordination. To address these challenges, this study proposes strategies to improve recovery and reuse efficiency, optimize logistics processes, enhance information sharing and collaboration, and encourage active participation from both businesses and consumers. These measures aim to improve the overall efficiency of reverse logistics and support the achievement of sustainable development goals.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Gao X, Cao C, 2020, A Novel Multi-Objective Scenario-Based Optimization Model for Sustainable Reverse Logistics Supply Chain Network Redesign Considering Facility Reconstruction. 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