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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.v9i5.15172</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Optimizing Cold Chain Logistics for Plateau Specialty Agricultural Products under the Company-Farmer Order Model</title><url>https://artdesignp.com/journal/PBES/9/5/10.26689/pbes.v9i5.15172</url><author>WuSiwen,YanXiaoyan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-19</published-time></date></history><abstract>Plateau specialty agricultural products are constrained by long transport distances, unstable temperature control, weak rural logistics infrastructure, and fragmented smallholder production. This paper reframes cold chain logistics under the company-farmer order model as an integrated problem of route optimization, temperature-risk control, and contract coordination. Based on a literature review and a case-based scenario reconstructed from a plateau agricultural supply chain, the study proposes a compact optimization framework that incorporates transport cost, delivery time, vehicle capacity, cold-chain loss, weather and road risk, and allowable temperature fluctuation. The scenario comparison indicates that optimized routing and digital temperature monitoring may reduce transport cost from 5,000 to 4,000 RMB per ton, shorten delivery time from 48 to 36 hours, reduce temperature-related loss from 10% to 5%, increase transport efficiency from 80% to 95%, and lower risk frequency from 15% to 8%. The results suggest that cold chain upgrading in plateau areas should not be treated as a purely technical routing problem. It requires coordinated investment in refrigerated infrastructure, information sharing between firms and farmers, incentive-compatible order contracts, and public support for rural logistics platforms. The paper contributes a policy-oriented analytical framework for improving agricultural supply-chain resilience in geographically disadvantaged plateau regions.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Fu H, Dan B, 2015, Research on the Company-Farmer Order Contract Mechanism based on Weather Options. Journal of Systems Engineering, 30(12): 15–24.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Han J, Zuo M, Zhu W, et al., 2021, A Comprehensive Review of Cold Chain Logistics for Fresh Agricultural Products: Current Status, Challenges, and Future Trends. Trends in Food Science &amp; Technology, 2021(109): 536–551.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Lu Y, Xu X, Yin C, et al., 2021, Network Optimization of Railway Cold Chain Logistics based on Freight Subsidy. Transportation Research Record: Journal of the Transportation Research Board, 2675(10): 590–603.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Sun M, Zhang C, Lin G, 2017, Distribution Problems and Path Optimization of Fresh Agricultural Products Cold Chain Logistics. Jiangsu Agricultural Sciences, 45(6): 103–109.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Tu G, Leng B, 2010, Contract Stability and Model Optimization of the Company-Farmer Model based on Game Theory. Chinese Journal of Management Science, 18(6): 102–109.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Guo H, Jiang W, 2021, Practice and Implications of the Industry Association-Company-Cooperative-Professional Farmer Order Model. Chinese Rural Economy, 2021(4): 48–52.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
