Research on Collaborative Scheduling and Efficiency Optimization of Cold Chain Logistics for Hainan's Tropical Fresh Agricultural Products Based on Internet Platforms

Abstract

As China's core supply base for tropical fresh agricultural products, Hainan relies heavily on cold chain logistics to ensure product
quality, minimize losses, and expand market reach. However, the current cold chain system faces challenges—including information silos,
insufficient coordination, inefficient scheduling, uneven facility utilization, and high distribution losses—that hinder its alignment with the
Free Trade Port's development goals and the industry's pursuit of high-quality growth. Leveraging technologies such as big data, the Internet
of Things, and artificial intelligence, internet platforms enable real-time information sharing between producers and consumers, optimized
resource allocation, full-process visibility, and collaborative operations among stakeholders. This paper examines the role of internet platforms in enhancing cold chain coordination and efficiency by addressing the industry's specific characteristics and operational pain points. It
proposes optimization strategies across six dimensions—platform architecture, collaborative mechanisms, scheduling models, facility sharing,
digital governance, and support systems—to provide theoretical insights and practical solutions for establishing an efficient, low-consumption,
secure, and coordinated modern cold chain logistics system.