摘要
港口在我国物流业发展中起着重要的作用,也对社会经济的发展有着促进作用。港口物流业有着很大的潜力和发展空间,对港口物流的需求进行预测是港口物流发展优化过程中重要的一部分。文中将两种单项预测模型,即灰色关联预测与ARIMA模型预测进行组合,形成组合预测模型,从而对港口物流进行预测。预测结果表明,研究的预测结果对宁波港口物流的发展有一定的参考作用,为港口物流需求预测提供了一定的方法和手段。
Ports play an important role in the development of China’s logistics industry, and also promote the development of social economy.Port logistics industry has great potential and development space.Forecasting the demand of port logistics is an important part of the optimization process of port logistics development.In this paper, two single prediction models which are grey correlation prediction and ARIMA model prediction are combined to form a combined prediction model, to predict the port logistics.The prediction results show that, the prediction results of this study have a certain reference for the development of Ningbo port logistics, and provide a certain method and means for port logistics demand prediction.
作者
张婉琳
ZHANG Wan-lin(Zhejiang Wanli University,Ningbo 315100,China)
出处
《物流工程与管理》
2023年第1期32-35,共4页
Logistics Engineering and Management
关键词
港口物流需求
组合预测模型
灰色关联预测
回归预测
port logistics demand
combined forecasting model
grey correlation prediction
ARIMA prediction
