International Journal of Frontiers in Engineering Technology, 2022, 4(1); doi: 10.25236/IJFET.2022.040102.
Yanhai Wang1, Hang Xu1, Xinyi Wang2, Chen Chen2, Yang Luo2, Chen Cheng2, Shihui Luo2, Dacheng Ju3
1Dept. of Procurement, STATE GRID Corporation of China, Beijing, China
2China Electricity Council (Beijing) Technology Development Co., Ltd., Beijing, China
3China Telecom System Integration Co., Ltd., Beijing, China
With the economic and social development, the increase in demand for electric power supplies brings great challenges to the warehousing and distribution operation model of State Grid corporations. The rapid development of the State Grid corporations also puts forward higher requirements for its logistics management level. Therefore, optimizing the management of electric power materials warehousing and distribution, realizing the key control of the overall warehousing and distribution link of the State Grid corporations, and promoting the digital operation of intelligent logistics warehousing and distribution model is of great significance to the development of the power enterprise and even the whole power industry. This paper uses PEST analysis to analyze the storage and distribution model of the State Grid Corporation from the macro environment, uses SWOT analysis to analyze the internal strengths, weaknesses and external opportunities and threats encountered by the State Grid Corporation, and gets the strategic direction of material storage and distribution of the State Grid corporations. Finally, suggestions are made for the development of material warehousing and distribution of State Grid corporations.
Smart Warehousing, Smart Distribution, SWOT Analysis, PEST Analysis
Yanhai Wang, Hang Xu, Xinyi Wang, Chen Chen, Yang Luo, Chen Cheng, Shihui Luo, Dacheng Ju. Optimization of the Operation Model of Intelligent Logistics Warehousing and Distribution of State Grid Corporation. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 1: 7-12. https://doi.org/10.25236/IJFET.2022.040102.
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