The Frontiers of Society, Science and Technology, 2022, 4(3); doi: 10.25236/FSST.2022.040303.
Wu Xiangfeng
Shandong Polytechnic, Jinan, Shandong, China
Because there are many factors affecting the adaptability of logistics distribution mode, it is difficult to analyze its adaptability. The accuracy of qualitative analysis of the adaptability of logistics distribution mode by existing methods is low, and the consistency coefficient of analysis results is low. Therefore, a study on the adaptability of logistics distribution mode based on entropy weight method is proposed. Through the analysis of its influencing factors, select the regional economic development level A1, the logistics distribution market demand scale A2, the enterprise service level A3, the logistics cost A4 and the importance of logistics to the enterprise A5 as the analysis indicators, calculate the index weight by using the entropy weight method, calculate the adaptability coefficient by using the evaluation function combined with the index weight, and realize the qualitative analysis of the adaptability of the logistics distribution mode according to the evaluation criteria. Experiments show that the consistency coefficient of the analysis results of the design method is higher than that of the traditional method.
entropy weight method; Logistics distribution mode; Adaptability; Qualitative analysis; Consistency coefficient
Wu Xiangfeng. Research on adaptability of logistics distribution mode based on entropy weight method. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 3: 13-16. https://doi.org/10.25236/FSST.2022.040303.
[1] Hao Li, Feng Lu. Innovative analysis of Suning logistics distribution mode based on SWOT analysis [J]. China storage and transportation, 2020 (12): 92-95
[2] Peng Siyang, Liu ruli. Research on logistics distribution path based on o2o mode -- Taking Xingsheng optimization as an example [J]. National circulation economy, 2021 (10): 15-17
[3] Sudan, CEN Weishen. Research on logistics distribution mode selection based on fuzzy analytic hierarchy process [J]. Volkswagen technology, 2020,22 (09): 139-142
[4] Hu Fang, Zhan Renyuan. Analysis on logistics distribution mode of e-commerce enterprises -- Taking Jingdong Mall as an example [J]. China market, 2020 (22): 181-182
[5] Guo Fuli, Li Saisai, Liu Chenyang, et al. Research on the adaptability of rural logistics distribution mode based on entropy weight method and grey correlation analysis [J]. Logistics technology, 2022,41 (01): 92-95 + 101