基于MVC的智能仓库管理系统设计

Ping Lu, Pingping Liu, Jiangtao Xu
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引用次数: 0

摘要

摘要针对仓储管理系统中存在的功能单一、服务水平低、难以满足客户仓储业务需求等问题,提出了一种协同过滤推荐算法。该算法通过分析用户的消费行为记录,计算商品之间的相似度,找到与“目标用户”喜爱的商品相似的商品,向“目标用户”推荐相似的商品,并根据客户偏好设计商品推荐功能,从而提高用户满意度和商品销售效率。为了给用户提供更好的服务体验,使系统操作人员易于使用,提出采用B / S架构和MVC框架模式设计用户管理、分配管理、仓库信息管理和报表管理四个模块,并建立相应的数据库进行统一管理。最终实现了用户体验满意度高、后台管理操作方便的智能仓储管理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Intelligent Warehouse Management System Based on MVC
Abstract Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm is proposed. The algorithm calculates the similarity between items by analyzing user’s consumption behavior records, finds similar items to ‘target user’s favorite items, recommends similar items to ‘target user’, and designs commodity recommendation function for customer preferences, so as to improve user satisfaction and commodity sales efficiency. In order to provide users with better service experience and make the system operators easy to use, it is proposed to use B / S architecture and MVC framework model to design four modules : user management, allocation management, warehouse information management and report management, and to establish the corresponding database for unified management. Finally, the intelligent warehouse management system with high user experience satisfaction and convenient background management operation is obtained.
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