基于工业互联网的农机供应链多边匹配问题研究

Study on Multilateral Matching of Agricultural Machinery Supply Chain Based on Industr ial Internet

随着工业互联网的迅猛发展,农机供应链的多边匹配问题日益凸显。当前,农机供应链面临着信息孤岛现象严重、数据标准化不足、供应链协同效率低等问题,阻碍了产业的高效运行。为解决这些问题,本文提出了基于工业互联网的多边匹配策略,包括数据互联互通、智能匹配算法应用、供应链协同平台建设以及动态优化与调整机制。通过这些策略的实施,可以打破信息孤岛,实现数据标准化共享,提高供应链协同效率,最终推动农机供应链产业的智能化、数字化转型。

With rapid development of industrial Internet the multilateral matching problem of agricultural machinery supply chain has become increasingly prominent.Currently,agricultural machinery supply chain is facing serious problems such as information silos,insufficient data standardization and low supply chain collaboration efficiency,which hinder the efficient operation of the industry.To solve these problems,a multilateral matching strategy based on industrial Internet was proposed including data interconnection,intelligent matching algorithm application,supply chain collaboration platform construction and dynamic optimization and adjustment mechanism.Through these strategies,information silos could be broken,data standardization could be achieved,supply chain collaboration efficiency could be improved and ultimately the intelligent and digital transformation of the agricultural machinery industry could be promoted.