Abstract
The cold chain logistics has become an important part of national economy as the plans which the government announced these year, such like 《Development plan of cold chain logistics of agricultural products》. But also the city, Chongqing, paid more attention on its improvement that issued some files like 《The implementation of Municipal People’s government to speed up the development of agricultural Cold Chain in Chongqing, and 《Development plan of cold chain logistics in Chongqing》. This paper aimed to help fresh enterprise predicting the sales volume and profit by using Grey Model, which can grasp the trend of the market and developing direction. This paper set an example as TY Co., Ltd in Chongqing to show the operation process then get the answers. The figures of outcome past the consistency test that can prove this method’s accuracy and reliability.
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Tang, Y., Wang, X., Li, L. (2018). The Prediction of Perishable Products’ Sale Volume and Profit in Chongqing Based on Grey Model. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_17
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DOI: https://doi.org/10.1007/978-981-13-2396-6_17
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