基于工业物联网的跨境机械电商智能供应链协同模式研究——以港口机械为例

Research on Intelligent Supply Chain Collaboration Models for Cross-Border Mechanical E-Commerce Based on Industrial IoT—A Case Study of Port Machinery

摘要: 随着近年来工业4.0和贸易数字化在全球各行各业风靡，传统机械行业也面临机遇和挑战，传统机械行业存在产品定制化高、物流不确定性强、供应链协同较差等问题，传统电商模式较难与之进行匹配融合。本文以港口机械这一传统机械领域为例，融合时下流行的工业物联网(IIoT)、大数据、区块链等新兴技术，构建跨境机械电商智能供应链协同模式。设计“需求–生产–物流–售后”全流程协同架构，解决原先港口机械跨境贸易存在的诸多问题，明确建立该平台的核心功能与实现路径，并以某港口机械企业跨境电商实践为例验证模式可行性。经调研验证，该模式可有效降低供应链响应周期30%以上，减少物流成本15%~20%，助力传统机械电商行业转型升级。

Abstract: With the recent global surge in Industry 4.0 and trade digitization across all industries, the traditional machinery sector faces both opportunities and challenges. This sector grapples with issues such as high product customization, strong logistics uncertainty, and poor supply chain coordination, making it difficult for traditional e-commerce models to integrate effectively. Taking port machinery—a traditional machinery field—as an example, this paper integrates emerging technologies like Industrial Internet of Things (IIoT), big data, and blockchain to establish a cross-border machinery e-commerce intelligent supply chain collaboration model. A comprehensive “demand-production-logistics-after-sales” collaborative framework is designed to resolve multiple challenges in cross-border port machinery trade. The core functionalities and implementation pathways of this platform are clearly defined, with its feasibility validated through the cross-border e-commerce practices of a specific port machinery enterprise. Research confirms this model can effectively reduce supply chain response cycles by over 30% and cut logistics costs by 15%~20%, thereby accelerating the transformation and upgrading of the traditional machinery e-commerce industry.