Evaluation and Analysis of Green Supply Chain Management in New Energy Vehicle Enterprises Based on the Analytic Hierarchy Process
DOI:
https://doi.org/10.64229/ss4qck26Keywords:
Sustainable Development, Green Supply Chain, Analytic Hierarchy Process (AHP)Abstract
Against the backdrop of accelerating green development principles, domestic automotive manufacturers continue to confront systemic challenges such as underdeveloped environmental awareness, inefficient resource utilization, and significant pollution from logistics activities. Focusing on these industry-wide pain points, this research adopts Company B as a representative case to investigate pathways for sustainable transformation. By integrating the Analytic Hierarchy Process (AHP) with expert scoring methodology, the study systematically diagnoses key environmental bottlenecks within the supply chain and establishes a clear priority sequence for corrective actions. Based on the analytical results, targeted optimization strategies are proposed, including the introduction of IoT-based real-time energy monitoring systems, the establishment of reusable packaging cycles to reduce logistics waste, and the implementation of a green performance rating mechanism for suppliers to promote coordinated eco-friendly governance across the entire chain. The findings provide actionable guidance for Company B and other industry players to enhance green supply chain management, while contributing meaningful insights to the broader pursuit of ecological and sustainable development in the industrial sector.
References
[1]Xiang, P. C., Zhao, X. P., & Yang, Y. L. Research on Risk Propagation in New Energy Vehicle Supply Chain Based on SEIR Model. Journal of Systems Science and Mathematical Sciences, 1-20.
[2]Ma, L. N., & Chang, R. J. The Impact of "Big Data Analytics + Artificial Intelligence" on Digital Supply Chain Transformation: An Empirical Study Based on the Automotive Industry. Soft Science, 1-15.
[3]Liu, J., Wang, Y. X., & Zhang, J. X. Research on Emission Reduction Decisions of Electric Vehicle Supply Chain Considering Government Subsidies and Power Structure under Battery Swap Mode. Industrial Engineering and Management, 2024, 29(06), 141-152.
[4]Zhang, Y. D., Fan, X. M., & Yuan, H. X. Research on the Impact of Digital Transformation in Logistics and Supply Chain on Blockchain Technology Adoption in Automotive Manufacturing. Frontiers of Science and Technology of Engineering Management, 2024, 43(05), 17-24.
[5]Lyu, Y., & Deng, L. J. Efforts to Enhance the Resilience and Security of Industrial Chains and Supply Chains: Measurement and Analysis Based on the Case of China's Automotive Industry Chain. Journal of International Trade, 2023, (02), 1-19.
[6]Zhu, Z. W., Wang, S. H., & Liang, X. Technical Strategy of Automotive Manufacturing Supply Chain from the Perspective of Blockchain. Machinery Design & Manufacture, 2022, (11), 1-5.
[7]Lu, Z. N., Zhang, C. H., & Luo, Y. S. Research on Green Supply Chain Performance Evaluation of Manufacturing Enterprises under the "Dual Carbon" Goals. Ecological Economy, 2023, 39(07), 58-66.
[8]Wang, Y. L., Zhu, Q. H., & Xia, X. Q. A Low-Carbon Supplier Selection Model Based on Fuzzy AHP-GP. Operations Research and Management Science, 2020, 29(11), 121-128.
[9]Li, M., Meng, H., & Xu, S. Q. Research on Evaluation and Selection of Fabric Suppliers Based on AHP and Multi-Objective Programming. Journal of Beijing Institute of Fashion Technology (Natural Science Edition), 2017, 37(03), 63-74.
[10]Ganguly, K., & Kumar, G. Supply Chain Risk Assessment: A Fuzzy AHP Approach. Operations and Supply Chain Management: An International Journal, 2019, 12(1), 1-13.
[11]Dong, Q. X., & Cooper, O. An Orders-of-Magnitude AHP Supply Chain Risk Assessment Framework. International Journal of Production Economics, 2016, 182(04), 144-156.
[12]Yao, F. M., Du, W. L., & Sun, J. Y. Pricing and Subsidy Strategies of Low-Carbon Supply Chain Considering Green Design from the ESG Perspective. Journal of Systems Science and Mathematical Sciences, 1-20.
[13]Wen, Z., Bai, D. X., & Hou, J. Research on Green Supply Chain Financing Decision Based on Corporate Risk Aversion and Fairness Preference. Journal of Guizhou University of Finance and Economics, 1-12.
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