Skip to main content

Abstract

With the resource-based economy transition in Shanxi Province, the demand of logistics and freight will be further increased in the future, it is necessary to analyze the history and estimate further logistics demand in Shanxi Province. This paper regards gray systematic theory as guidelines, based on the present situation of logistics demand and actual data in Shanxi province, establishes a gray forecast GM(1, 1) model, then forecasts the next 5 years logistics demand of Shanxi province, based on this, develops the logistics development plan from the government level and corporate level, according to some calculation, which could provide a quantitative base for government to plan the development of logistics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bin YE (2011) Prediction research on China’s coal production based on grey theory. Sci Technol Eng 11(20):4947–4949

    Google Scholar 

  • Cong Peng (2012) Applying multilevel grey evaluation in suppliers’ strategic selection. J Chongqing Jiaotong Univ (Social Sciences Edition), JAU 12:60–63

    Google Scholar 

  • Fangbing Niu (2011) Analysis and forecast of logistics demand in Shandong based on gray system theory. J Northwest A&F Univ 11(9):96–98 (in Chinese)

    Google Scholar 

  • Hassan Y, Gibreel G (2000) Evaluations of highway consistency and safety: practical application. J Transport Eng 3:255–260

    Article  Google Scholar 

  • Hauser John R, Don Clausing (1988) The house of quality. Harvard Bus Rev 33:63–73

    Google Scholar 

  • Ji-ying Zhang, Peng Xiao (2011) Gray relation analysis of growth of Gansu national economy. J Lanzhou Jiaotong Univ 30:111–113

    Google Scholar 

  • Julong Deng (1998) Whitening definitions in grey system theory. J Grey Syst 7:81–86

    Google Scholar 

  • Murray PM, Mahmassani HS (2003) Model of household trip chain sequencing in an emergency evacuation. Transport Res Board 34:137–141

    Article  Google Scholar 

  • Ping-fan Liao, Guo-song He, Ru-gang Zhong (2012) Forecast to the GDP of Xianning city based on gray system theory. Value Eng 3:96–97

    Google Scholar 

  • Ruo-bing Yu (2011) A prediction of Xinjiang logistics demand based on GM(1,1). Logistics Eng Manag 33(203):37–41

    Google Scholar 

  • Tianshe Yang, Jisheng Li, Yongxuan Huang (2005) Method of satellite fault diagnosis based on bayesian network. Eng Sci 3:52–57

    Google Scholar 

  • Xianbing Ping (2010) Analysis of the logistics demand in Hunan province based on gray system theory. Logistics Eng Manag 32(189):17–19 (in Chinese)

    Google Scholar 

  • Xian-zhen Guo, Xian-li Chen, Zhi-min Guan, Feng-man Shen (2011) Development and application of equipment malfunction prediction models for ironmaking process. J Northeastern Univ (Nat Sci) 32(9):29–32

    Google Scholar 

  • Yufeng Gui, Jianfeng Tao (2004) The recognition and decomposition of mixed pixels in the remotely sensed images based on gray system theory. In: 2004 international symposium on distributed computing and applications to business; engineering and science proceedings, vol II

    Google Scholar 

  • Zhuwen Wang, Jinghua Liu, Zhoubo Li, Chun Chang (2004) The identification of metamorphic lithologies based on the gray system theory. Expanded abstracts CPS/SEG 2004 international geophysical conference, vol II

    Google Scholar 

Download references

Acknowledgment

This paper obtains subsidy of conspicuous talents fund in The Academy of Military Transportation, PLA, as one of stage achievement for year 2012–2013.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hai-lan Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Hl., Zhao, Dz. (2013). Prediction Analysis of Logistics Demand in ShanXi Province Based on Gray System Theory. In: Dou, R. (eds) Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33012-4_41

Download citation

Publish with us

Policies and ethics