基于大数据与信息技术的拖拉机零部件供应链  

Tractor Parts Supply Chain Based on Big Data and Information Technology

作　　者：王弥[1] Wang Mi(Henan Polytechnic Institute, Nanyan 473000, China)

机构地区：[1]河南工业职业技术学院,河南南阳473000

出　　处：《农机化研究》2022年第4期261-264,共4页Journal of Agricultural Mechanization Research

基　　金：河南省高等职业院校创新发展行动计划项目(XM0117)。

摘　　要：为了提高拖拉机零部件供应链管理的水平,提高零部件的管理效率,在供应链管理研究过程中引入了大数据和信息化技术,并在数据分析和处理时采用遗传算法进行优化,确定合理的供应商数据评价函数,提高供应链管理的智能化水平。以拖拉机零部件的供应链管理为例,对比了采用和不采用大数据信息化技术产品的交付时间,结果发现:采用大数据信息化技术可以明显缩短产品的交付时间,提高供应链的管理效率。In order to improve the level of supply chain management of tractor parts and improve the management efficiency of parts,it introduced big data and information technology in the research process of supply chain management,and used genetic algorithm to optimize the data analysis and processing,determine a reasonable data evaluation function of suppliers,and improve the intelligent level of supply chain management.Taking the supply chain management of tractor parts as an example,it compared the delivery time of products with and without big data information technology.The results showed that it can significantly shorten the delivery time of products and improve the efficiency of supply chain management by using big data information technology.

关 键 词：拖拉机部件 供应链管理 大数据 信息化技术 智能分析 

分 类 号：S219.9[农业科学—农业机械化工程] F274[农业科学—农业工程]