The Application of BP Neural Net Model in Logistics Costs Decision-Making

Junlong Jia, Xue Jia, Cheng-fei Tian
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引用次数: 2

Abstract

There are a lot of factors that affect the cost of logistics services .And when we try to give a specific price for customers, we should take into account for various factors to make our service and our price have a best match. It can reflect the tailored of logistics services. In this paper we take the warehousing & distribution enterprise as an example, and apply BP neural net model, with it's excellent characteristics such as the Parallel distributed processing, self-organize, self-adjust, self-learning and fault tolerance to solve the prediction of the service cost of logistics enterprise, which is a kind of problem with various factors, uncertainty and nonlinear. Then we come to a support pricing model which is based on BP neural net technology, and this support pricing model can provide the basis for logistics enterprise in service pricing with preferable value.
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BP神经网络模型在物流成本决策中的应用
影响物流服务成本的因素有很多,当我们试图给客户一个具体的价格时,我们应该考虑到各种因素,使我们的服务和我们的价格有一个最好的匹配。可以体现物流服务的定制化。本文以仓储配送企业为例,运用具有并行分布式处理、自组织、自调整、自学习和容错等优良特性的BP神经网络模型,解决了物流企业服务成本的预测问题,这是一类具有多因素、不确定性和非线性的问题。在此基础上提出了基于BP神经网络技术的支持定价模型,该支持定价模型可以为物流企业的服务定价提供依据,具有较好的价值。
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