NDLI: Forecast method and application of an Inland Port Logistics Park

Content Provider	IEEE Xplore Digital Library
Author	Shen Wei Shi Minghui Xu Qianjun He Yunfei Huang Qingqing Zhong Shengwen
Copyright Year	2010
Description	Author affiliation: College of Engineering and Technology, Northeast Forestry University, Harbin 150040 (Shen Wei; Shi Minghui; Xu Qianjun; He Yunfei; Huang Qingqing; Zhong Shengwen)
Abstract	As a new field of study, Inland Port Logistics Park research work is in the initial stage in China. Holding the inadequate and imperfect history data, the forecasting of logistics quantity will be confronted with many difficulties. On the practical conditions of Inland Port Logistics Park in China, how to find out a predicting approach of high accuracy has the vital part in the research of Inland Port Logistics Park. In this paper, forecast methods of logistics quantity and its application were discussed through a specific example of an Inland Port Logistics Park. Linear regression model, Elastic method of correlates, Conic section model, Logarithm model and gray model were used, seeking to improve the accuracy of prediction and provide the reference of the logistics capacity prediction in practice.
Starting Page	1930
Ending Page	1932
File Size	226952
Page Count	3
File Format	PDF
ISBN	9781424473311
e-ISBN	9781424473304
DOI	10.1109/ICLSIM.2010.5461284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economic indicators Linear regression Supply chains Forecast Methods Inland Port Logistics Park Predictive models Equations Accuracy Forestry Cities and towns Economic forecasting Logistics Quantity Logistics
Content Type	Text
Resource Type	Article

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