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Position: Home > Articles > Demand Forecast of the Cold Chain Logistics Based on the Multiple Linear Regression Analysis Journal of Anhui Agricultural Sciences 2011,39 (11) 231-232+235

基于多元线性回归分析的冷链物流需求预测

作  者:
李隽波;孙丽娜
单  位:
桂林理工大学管理学院
关键词:
冷链物流;多元线性回归;需求预测;Eviews
摘  要:
冷链物流是一个巨大而复杂的体系,涉及到从产品出产、包装、运输、贮藏直到消费终端整个链条的全方面、全流程的温度控制。满足市场需求必须以需求预测为前提,鉴于影响冷链物流需求的因素有很多,以我国水产品冷链物流的需求为例,应用多元线性回归分析法建立冷链物流需求量的预测方程,运用Eviews软件进行检验,求证其科学性,最终得出精确、实用的预测体系。
译  名:
Demand Forecast of the Cold Chain Logistics Based on the Multiple Linear Regression Analysis
作  者:
LI Jun-bo et al(Management School,Guilin University of Technology,Guilin,Guangxi 541004)
关键词:
Cold chain logistics;Multiple linear regression analysis;Demand forecast;Eviews
摘  要:
Cold chain logistics is a huge and complex system,involving the whole process of temperature control of the entire chain from the packaging,transport,storage and consumption of the products.The meeting of the market demand must be based on the forecast,in view of the lots of factors involved in cold chain logistics,with the cold chain logistics needs of our aquatic products fpr example,a demand forecast equation of cold chain logistics is established by multiple linear regression analysis,and then verified by using Eviews software so as to confirm its scientific nature and work out accurate and practical forecasting system.

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