面向Recsys模型的生产物流资源配置推荐研究

Research on the Recommendation of Production Logistics Resource Allocation Oriented to Recsys Model

针对车间生产物料有效流动与资源匹配问题,研究了供应物流资源快速准确配置方法。基于PFEP(Plan For Every Part)中大量产品已有的物流资源配置数据,通过TF-IDF(Term Frequency-Inverse Document Frequency)算法去除区分度较小数据,采用机器学习Recsys(Recommender System)的相似度算法构建物流资源配置推荐模型,并以某遥控器生产车间物料资源配置推荐为例验证方法有效性。验证结果表明:相比于传统物流资源配置过程,本模型可对生产物流资源进行优化配置推荐,显著提升物料配送准点率,改善企业生产物流运转效率。

Aiming at the problem of effective flow of production materials and resource matching in the workshop,the method of rapid and accurate allocation of supply logistics resources is studied.Based on the existing logistics resource configuration data of a large number of products in the PFEP(Plan for Every Part),the TF-IDF(Term Frequency-Inverse Document Frequency)algorithm is used to remove the less distinguished data,and the machine learning Recsys(Recommender System)similarity is used The algorithm constructs a logistics resource allocation recommendation model,and uses a remote control production workshop material resource allocation recommendation as an example to verify the effectiveness of the method.The verification results show that:compared with the traditional logistics resource allocation process,this model can recommend optimal allocation of production logistics resources,significantly improve the punctuality of material distribution,and improve the efficiency of enterprise production logistics operation.