基于Apriori算法的立体仓库系统

传统仓库存储采用人力或人机结合方式搬运货物，采用纸笔记录相关库存和进出入库数据，存在效率低、安全隐患多和用人成本高等诸多问题.现代化工商业的发展对仓库存储技术提出了更高的需求，不仅仅局限于成本范畴，更成为获取利润的战略工具.本文介绍了自动化立体仓库系统的整体结构、各子系统功能及主要部分的设计.为了进一步提高生产效率，提升公司总体收益率，本文基于实验室的自动化立体库系统，将关联规则数据挖掘Apriori算法应用于其中，对出库信息进行挖掘，提供更加科学的生产和出库建议.该系统具有高度自动化、智能化、信息化管理等特点，对提高仓储管理效率，提高企业收益具有重要意义.

Three-Dimensional Warehouse System Based on Apriori Algorithm

The traditional warehouses use manual or man-machine methods to transport goods, use paper and pen to record related inventory and data of incoming/outgoing, which has many problems such as low efficiency, many security risks, and high employment cost. The development of modern industry and commerce has put forward a higher demand for warehouse storage technology, which is not only limited to the cost category, but also becomes a strategic tool to obtain profits. This study introduces the whole structure, the functions of each subsystem and the design of the main parts of the automated three-dimensional warehouse system. In order to further improve the production efficiency and improve the overall profitability of the company, this paper, based on the laboratory automated three-dimensional warehouse system, applies Apriori algorithm of association rule data mining, mines the outbound information, and provides more scientific suggestions on production and outbound. The system has the characteristics of high automation, intelligence and information management, which is of great significance to improve the efficiency of warehouse management and increase the profits of enterprises.