摘要
随着电商的兴起,人们已经习惯在网上购物。随之兴起的便是物流快递行业。对于各大快递公司来说,如果能够比较精确的预测淡旺季的货量,便能够提前安排好各个分拨中心的人力以及车线的运作。文章对四种货量预测的方法进行简单的介绍,定性预测,线性回归预测,时间序列预测以及神经网络预测,并对四种方法的优缺点做了分析。
With the rise of e-commerce, people have been accustomed online shopping. And then the industry of logistics and express is booming. To all express companies, if the volume can be forecasted more accurately, they can arrange the distribution centers' manual labor and car routes in advance. This article introduces four methods of volume forecast, qualitative forecast, linear regression forecast, time series forecast and neural network forecast, and analyses the advantages and disadvantages for the four methods.
出处
《电脑知识与技术》
2018年第3Z期152-153,共2页
Computer Knowledge and Technology
关键词
预测
货量
定性预测
线性回归
时间序列
神经网络
forecast
volume
qualitative forecast
linear regression
time series
neural network
