Research on the Construction of Smart Logistics in Heilongjiang Province Under the Background of New Retail
- DOI
- 10.2991/978-94-6463-052-7_11How to use a DOI?
- Keywords
- new retail; intelligent logistics; intelligent warehouse center; entropy weight method
- Abstract
In the face of the rapid development of new retail, the development of smart logistics in Heilongjiang province lags behind. The analytic hierarchy process is used to find out the factors affecting the construction of smart logistics in Heilongjiang Province, and the entropy weight method is used to determine the weight of factors. It is found that there is a lack of smart logistics service platform and large storage center in Heilongjiang Province. Information standardization and sharing degree is low and lack of leading enterprises and industrial cluster effect. The important ways for Heilongjiang to develop intelligent logistics in the new retail context are speeding up the construction of intelligent logistics service platform, intelligent warehousing, information standardization and sharing, application of modern science and technology, and training of intelligent logistics talents.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qinghua Shang PY - 2022 DA - 2022/12/27 TI - Research on the Construction of Smart Logistics in Heilongjiang Province Under the Background of New Retail BT - Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022) PB - Atlantis Press SP - 87 EP - 95 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-052-7_11 DO - 10.2991/978-94-6463-052-7_11 ID - Shang2022 ER -