基于BP神经网络的乳品企业经销商满意度实时监控系统研究

发布时间：2018-04-05 13:08

本文选题：乳品企业　切入点：经销商　出处：《内蒙古大学》2015年硕士论文

【摘要】：随着市场经济的发展,在激烈的市场竞争中,乳品企业为了拓展市场,发展了大量的经销商。而在目前的营销链中,经销商是消费者与生产者之间的桥梁,扮演着非常重要的角色。企业如何掌握经销商满意度和获取市场需求至关重要,这决定着企业的发展。经过综合分析与调研,本论文对乳品企业如何评测和监控经销商的满意度进行深入的研究和探讨,这具有非常重要的意义。本论文主要完成的工作如下：(1)本文把相关行业满意度评测体系与乳品企业相关产品和行业特性结合起来,对经销商满意度指标进行综合分析,构建出乳品企业经销商满意度评测指标体系。(2)根据优化后的满意度指标体系,利用BP神经网络进行经销商满意度评测体系建模。借助MATLAB工具结合BP神经网络算法对满意度评测模型进行训练,得到稳定、准确的乳品企业经销商满意度评测模型。(3)基于Java EE技术,利用SSH开发框架开发乳品企业经销商满意度实时监控系统。本系统运用Java语言实现了BP神经网络的相关算法,进而实现对经销商满意度的监控和分析。乳品企业可以根据此系统的数据分析,掌握经销商对企业产品服务的真正需求,调整生产及销售策略,利用经销商抓住庞大的消费者群体,提高市场竞争力,创造更高的利润。
[Abstract]:With the development of market economy, in the fierce market competition, dairy enterprises develop a large number of dealers in order to expand the market.In the current marketing chain, dealers are the bridge between consumers and producers, playing a very important role.It is very important for enterprises to master dealer satisfaction and obtain market demand, which determines the development of enterprises.Through comprehensive analysis and investigation, this paper makes a deep research and discussion on how to evaluate and monitor the satisfaction of dealers in dairy enterprises, which is of great significance.The main work of this paper is as follows: (1) this paper combines the related industry satisfaction evaluation system with the related products and industry characteristics of dairy enterprises, and makes a comprehensive analysis of the dealer satisfaction index.According to the optimized satisfaction index system, BP neural network is used to model the dealer satisfaction evaluation system.With the help of MATLAB tool and BP neural network algorithm, the satisfaction evaluation model is trained to obtain a stable and accurate satisfaction evaluation model for dairy enterprise dealers. It is based on Java EE technology.A real-time monitoring system for dealer satisfaction of dairy enterprises is developed by using SSH development framework.The system uses Java language to realize the BP neural network algorithm, and then realizes the monitoring and analysis of dealer satisfaction.According to the data analysis of this system, dairy enterprises can grasp the real demand of dealers for their products and services, adjust their production and sales strategies, make use of dealers to seize large consumer groups, improve market competitiveness, and create higher profits.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.82;TP277;TP183

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