Demand Forecasting of Agricultural Products Logistics in Community

Guangshu Xu, Shangjun Piao, Zilong Song

Beijing Wuzi University, Beijing, China.

DOI: 10.4236/ajibm.2015.57050                

Abstract

This paper discusses the characteristics of the community agricultural products logistics and the difficulty of the demand forecasting of agricultural products logistics in community. Obtaining the data over the years relates to agricultural products logistics in community through questionnaires. Then using Grey prediction model conduct the demand forecasting of agricultural products logistics in community. The study of this paper can provide reference data for the agricultural outlets near the community in Beijing, solve the problem of matching supply and demand of community shops, satisfy consumer’s demand and maximize the benefits of operators. The study of this paper can provide reference data for the agricultural outlets near the community in Beijing, solving the matching supply and demand problems of community shops, satisfying consumer’s demand and maximizing the benefits of operators. Besides, it can also provide some references meaning for e-commerce companies of Beijing, such as the location of community convenient store in O2O e-commerce model, the solution of “The last mile” and so on.

Keywords

Demand Forecasting of Logistics, Agricultural Products in Community, Grey Prediction Model

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Cheng, G.X., Zhu, Y. and Yu, X.L. (2014) Study on Forecasting of Agricultural Produce Logistics Demand of Xinjiang Construction Corps. Logistics Technology, 23, 229-233. (In Chinese)
[2]	Fan, R.H. (2011) Discussion on Agricultural Product Logistics Dem and in Nanyang City Center Town. Journal of Anhui Agricultural Sciences, 39, 1224-1225. (In Chinese)
[3]	Hui, C.M., Li, Y.F., Cao, J., Cai, Y.Y. and Zhu, D.P. (2011) Forecasting and Analysis of Yunnan Specialty Farm Produce Logistics Demand. Logistics Technology, 3, 79-81. (In Chinese)
[4]	He, L. (2007) The Research on Prediction Method of Huishan Agricultural Products Logistics Park Demands Based on Grey Forecast GM(1.1). Northeastern University.
[5]	Wang, X.L. and Zhao, K. (2010) Research on the Demand of Agricultural Products Logistics Based on Neural Network. Journal of Agricultural Economics, 2, 62-68. (In Chinese)
[6]	Li, Q.F. (2011) Study on the Influence Factors of the Demand of Agricultural Products Logistics. China Business & Trade, 20, 116-117. (In Chinese)
[7]	Huang, F.J.H. (2013) Brief Analysis on the Distribution Problems of Community Agricultural Products under the Background of Urbanization. Journal of Shanxi Agricultural Sciences, 41, 1010-1012. (In Chinese)
[8]	Wang, X.X. (2011) Urban Logistics Distribution Management. Tsinghua University Press, Beijing.
[9]	Yan, G.L., Zhang, N. and Liu, Y.H. (2012) Systems Engineering. China Machine Press, Beijing.
[10]	Wang, Q.P., Wang, T.P. and Zhang, K. (2012) Image Edge Detection Based on the Grey Prediction Model and Discrete Wavelet Transform. Kybernetes, 41, 643-654. http://dx.doi.org/10.1108/03684921211243301