With the development of
intelligent and communication technology, traditional logistics has gradually
transformed into intelligent logistics. The construction of the railway
intelligent cold chain logistics system is an effective measure to implement
the structural adjustment of supply, which conforms to the times. Firstly,
basic features and design principles of the railway intelligent cold chain
logistics system were described. Secondly, target functions and the system
framework of the railway intelligent cold chain logistics were put forward,
which takes information service as a foundation, management service as a guarantee, business
capability as kernel and expansion capability as support. Subsequently, the
technical approaches were studied at the hardware, processing and software
levels. Finally, development
strategies of the railway intelligent cold chain logistics were discussed,
including optimizing the layout of infrastructure, improving the performance of
equipment, extending the reach of services, deepening the cooperation of
technologies and promoting the formulation of standards which provides feasible
references for the railway cold chain logistics to explore modern business
models.
References
[1]
He, L.M. (2017) The Development Trend of China’s Smart Logistics. China Business and Market, 31, 3-7.
[2]
Mcfarlane, D., Giannikas, V. and Lu, W.R. (2016) Intelligent Logistics: Involving the customer. Computers in Industry, 81, 105-115. https://doi.org/10.1016/j.compind.2015.10.002
[3]
Wang, Q.Y. and Mao, B.H. (2020) Impacts of Science and Technology on Transportation. Journal of Transportation Systems Engineering and Information Technology, 20, 1-8+36.
[4]
Cold Chain Logistics Committee of CFLP, National Engineering Research Center for Agricultural Products Logistics, Shenzhen E6 Technology Co., Ltd. (2021) China Cold Chain Logistics Development Report. China Fortune Press Co., Ltd., Beijing, 99-110.
[5]
Wang, Y. and Lu, X. (2021) Random Forest Regression Model Application for Prediction of China’s Railway Freight Volume. In: Hernández, J.E., Li, D., Jimenez-Sanchez, J.E., Cedillo-Campos, M.G. and Wenping, L., Eds., Collaborative Logistics and Intermodality, Springer, Cham, 91-120. https://doi.org/10.1007/978-3-030-50958-3_6
[6]
Zhao, C.L., Meng, Y.B., Liu, J.B., Xiong, W. and Qiao, P. (2018) Dispatch Model and Solution Strategy for Multimodal Transportation Based on Logistics Cloud Platform. Journal of the China Railway Society, 40, 1-8.
[7]
Miao, B.R., Zhang, W.H., Liu, J.X., Zhou, N., Mei, G.-M. and Zhang, Y. (2021) Review on Frontier Technical Issues of Intelligent Railways under Industry 4.0. Journal of Traffic and Transportation Engineering, 21, 115-131.
[8]
Xu, W., Li, X.F., Li, G. and Zhao, B. (2021) Supply-Demand Forecast and Traffic Assignment of Market-Oriented Railway Cold Chain Logistics. China Transportation Review, 43, 103-107.
[9]
Zhang, C. and Liu, S.C. (2021) Research on Layout Optimization of Multi-hub Hybrid Hub and Spoke Railway Cold Chain Logistics Network. Journal of the China Railway Society, 43, 1-9. https://doi.org/10.1155/2021/8830561
[10]
Wu, Z.W. (2020) A Study on Internet of Things Technology of Intelligent Railway Logistics Park Information Management Platform. Railway Transport and Economy, 42, 14-20.
[11]
Chen, Q. and Ji, R.T. (2018) A Design of Intelligent Service System for Railway Cold Chain Logistics of China Railway Taiyuan Group. Railway Transport and Economy, 40, 64-69.
[12]
Lin, C.Z. (2021) Discussion of Intelligent Design of Railway Cold Chain Logistics. Railway Transport and Economy, 43, 55-59+64.
[13]
Chen, Y.H. (2020) Intelligent Algorithms for Cold Chain Logistics Distribution Optimization Based on Big Data Cloud Computing Analysis. Journal of Cloud Computing, 9, Article No. 37. https://doi.org/10.1186/s13677-020-00174-x
[14]
Swamidass, P.M. (2000) Seven “Rights” of Logistics, Encyclopedia of Production and Manufacturing Management. Springer, Boston, 684.
[15]
Lin, N. (2019) Development-Strategy Selection of Intelligent Logistics Mode from the Perspective of Supply Chain. Journal of Technical Economics & Management, No. 12, 60-64.
[16]
Yang, Z.Z., Sun, Y. and Lee, T.P. (2020) Impact of the Development of the China-Europe Railway Express—A Case on the Chongqing International Logistics Center. Transportation Research Part A: Policy and Practice, 136, 244-261. https://doi.org/10.1016/j.tra.2020.03.022
[17]
Balog, M., Sokhatska, H. and Iakovets, A. (2019) Intelligent Systems in the Railway Freight Management. International Scientific-Technical Conference MANUFACTURING, Poznan, 19-22 May 2019, 390-405. https://doi.org/10.1007/978-3-030-18715-6_33
[18]
Lu, Y., Xu, X.F., Yin, C.Z. and Zhan, Y. (2021) Network Optimization of Railway Cold Chain Logistics Based on Freight Subsidy. Transportation Research Record, 2675, 590-603. https://doi.org/10.1177/03611981211011998
[19]
Chang S., Hu B., Wang T.T. and Ding, L. (2020) Coordination of Make-to-Order Supply Chain with Volume Flexibility. Journal of Systems Engineering, 35, 610-622.
[20]
Ai, B., Molisch, A.F., Rupp M. and Zhong, Z.-D. (2020) 5G Key Technologies for Smart Railways. Proceedings of the IEEE, 108, 856-893. https://doi.org/10.1109/JPROC.2020.2988595
[21]
Masek, J., Kolarovszki, P. and Camaj, J. (2016) Application of RFID Technology in Railway Transport Services and Logistics Chains. Procedia Engineering, 134, 231-236. https://doi.org/10.1016/j.proeng.2016.01.064
[22]
Sun, X., Gao, L. and Liang, Y. (2019) Research on Big Data Acquisition and Application of Cold Chain Logistics Based on Artificial Intelligence and Energy Internet of Things. IOP Conference Series: Earth and Environmental Science, 252, Article ID: 052052. https://doi.org/10.1088/1755-1315/252/5/052052
[23]
Meng, D.B., Sun, M. and Zhang, Y.S. (2020) A Discussion on the Development Strategy of Railway Cold-Chain Transportation. Railway Transport and Economy, 42, 44-47+53.
[24]
China Railway (2018) The 13th Five-Year Development Plan for the Layout of Railway Cold Chain Logistics Network. http://www.china-railway.com.cn/gsjs/gszl/201812/t20181217_91341.html
[25]
Li, J. (2019) A Research on Intelligent Logistics Mode Reconstruction Based on Big Data Cloud Computing. China Business and Market, 33, 20-29.
[26]
Kang, D., Guo, M. and Chen, G. (2021) Literature Review of Cold Chain Logistics Research in China Based on CiteSpace. The International Conference on Artificial Intelligence and Logistics Engineering, Vol. 82, Kiev, 22-24 January 2021, 307-316. https://doi.org/10.1007/978-3-030-80475-6_30
