Evaluation and Analysis of Core Competitiveness in Logistics Enterprises Based on the Fuzzy Comprehensive Evaluation Method
DOI:
https://doi.org/10.64229/0eqdwg29Keywords:
Logistics Enterprises, Competitiveness Evaluation, Fuzzy Comprehensive Evaluation MethodAbstract
This study investigates the development status of Group A with a particular focus on the structure and performance of its logistics system. In the context of intensified market competition and rapid industrial transformation, logistics is increasingly recognized as a strategic driver of enterprise competitiveness, shaping cost efficiency, service quality, and supply chain resilience. To provide a systematic and rigorous evaluation, the research adopts the Fuzzy Comprehensive Evaluation Method, which enables the integration of both qualitative judgments and quantitative indicators. Based on this analytical framework, the study identifies the most influential factors affecting Group A’s logistics competitiveness, including operational cost control, service responsiveness, digital and intelligent technology adoption, and supply chain coordination capabilities. Furthermore, the findings highlight feasible strategies for strengthening competitiveness, such as advancing digital transformation, fostering collaborative innovation across the supply chain, and enhancing adaptive capacity in a volatile market environment. The analysis underscores how Group A can capitalize on its strengths while mitigating its weaknesses to achieve sustainable growth and maintain long-term strategic advantages. Finally, the study provides forward-looking recommendations that may inform the optimization and strategic upgrading of logistics systems in enterprises with similar developmental trajectories.
References
[1]Pei Xuan. Impact of the Trump Administration's Reciprocal Tariff Policy on International Logistics Trade and China's Countermeasures [J]. Logistics Technology, 2025, 44(09): 32-42.
[2]Chang Heshan. State Council's Promotion of “AI+” Yields Results in Cost Reduction and Efficiency Enhancement for Leading Logistics Enterprises [N]. Modern Logistics News, 2025-09-08(001).
[3]He Liming. Review of China's Logistics Industry Development in 2023 and Outlook for 2024 [J]. China Circulation Economy, 2024,38(03):3-8.
[4]Xu Wenjian. Impact and Mechanism of Data Element Marketization on Innovation Levels of Logistics Enterprises [J]. Research on Commercial Economics, 2024, (15): 93-96.
[5]Zhang Jiankai, Li Zequn, Liu Hong, et al. Research on Optimizing Timeliness of Coal Truck Transportation Based on AHP-Fuzzy Comprehensive Evaluation Method [J]. Research on Coal Economy, 2025, 45 (08):211-218.
[6]Liu Chen. Evaluation of Integrated Planning Management Effectiveness in Company A: Based on AHP Analysis and Fuzzy Comprehensive Evaluation Method [J]. Business News, 2025,(11):4-6.
[7]Li Chao, Jin Fenghua. Research on Supply Chain Performance Evaluation Based on AHP-Fuzzy Comprehensive Evaluation Method: Taking Smartwatch Manufacturing Enterprises as an Example [J]. China Storage and Transportation, 2025, (02): 84-85.
[8]Yao Kai. Research on the Development Level Assessment of Chengdu's Fresh Agricultural Products Cold Chain Logistics Based on Fuzzy Hierarchical Comprehensive Evaluation Method [D]. Yunnan Agricultural University, 2024.
[9]Yang Yang, Guo Dongjun. Planning and Design of Logistics Systems [M]. Electronics Industry Press, 202003.
[10]Luan Tang, Lele Mi. Energy Internet Policy Evaluation Based on Fuzzy Comprehensive Evaluation Method [J]. Journal of Simulation, 2020, 8(4).
[11]Liu Jian. Multi-level Dynamic Fuzzy Evaluation of Core Competitiveness in Railway Transportation Enterprises [J]. Journal of Lanzhou Jiaotong University, 2007(01):115-119.
[12]Wei Mengjin. Exploring the Practice of Logistics Enterprise Culture Development Based on Core Competitiveness [J]. China Logistics and Purchasing, 2024, (12): 115-116.
[13]Qin Lei. A Brief Discussion on How Modern Logistics Supply Chain Management Enhances Corporate Core Competitiveness [J]. Business Exhibition Economy, 2022, (15): 94-96.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mu Chen, Tianxin Wu, Xuanqiao Mao (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.