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Research on logistics cooperative scheduling method based on multi-intelligent body system in supply chain management

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Nov 18, 2024

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Hugos, M. H. (2024). Essentials of supply chain management. John Wiley & Sons. Search in Google Scholar

Blanchard, D. (2021). Supply chain management best practices. John Wiley & Sons. Search in Google Scholar

Lambert, D. M., & Enz, M. G. (2017). Issues in supply chain management: Progress and potential. Industrial marketing management, 62, 1-16. Search in Google Scholar

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International journal of production research, 57(15-16), 4719-4742. Search in Google Scholar

Zhou, H., & Li, L. (2020). The impact of supply chain practices and quality management on firm performance: Evidence from China’s small and medium manufacturing enterprises. International Journal of Production Economics, 230, 107816. Search in Google Scholar

Hong, J., Liao, Y., Zhang, Y., & Yu, Z. (2019). The effect of supply chain quality management practices and capabilities on operational and innovation performance: Evidence from Chinese manufacturers. International Journal of Production Economics, 212, 227-235. Search in Google Scholar

Hong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of cleaner production, 172, 3508-3519. Search in Google Scholar

Fu, Y., & Zhu, J. (2019). Big production enterprise supply chain endogenous risk management based on blockchain. IEEE access, 7, 15310-15319. Search in Google Scholar

Addo-Tenkorang, R., Helo, P. T., & Kantola, J. (2017). Concurrent enterprise: a conceptual framework for enterprise supply-chain network activities. Enterprise Information Systems, 11(4), 474-511. Search in Google Scholar

Bhat, S. A., Huang, N. F., Sofi, I. B., & Sultan, M. (2021). Agriculture-food supply chain management based on blockchain and IoT: a narrative on enterprise blockchain interoperability. Agriculture, 12(1), 40. Search in Google Scholar

Kot, S. (2018). Sustainable supply chain management in small and medium enterprises. Sustainability, 10(4), 1143. Search in Google Scholar

Xu, Z., Guo, L., Zhou, S., Song, R., & Niu, K. (2024). Enterprise supply chain risk management and decision support driven by large language models. Applied Science and Engineering Journal for Advanced Research, 3(4), 1-7. Search in Google Scholar

Luo, H. (2023, July). Research on Dynamic Multi Intelligence Algorithm and Its Application in Logistics Distribution System in Post Epidemic Era. In International Conference on Frontier Computing (pp. 211-216). Singapore: Springer Nature Singapore. Search in Google Scholar

Chang, Q., & Feng, W. (2023, June). Research and Performance of Information Management System Algorithm Based on Multi-Intelligence Technique. In 2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII) (pp. 509-512). IEEE. Search in Google Scholar

Chen, X., Zheng, C., & Liu, M. (2024, April). Research on Inventory Management Optimization Strategy in Supply Chain Based on Deep Reinforcement Learning. In 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL) (pp. 786-791). IEEE. Search in Google Scholar

Rushton, A., Croucher, P., & Baker, P. (2022). The handbook of logistics and distribution management: Understanding the supply chain. Kogan Page Publishers. Search in Google Scholar

Frazelle, E. (2020). Supply chain strategy: the logistics of supply chain management. McGraw-Hill. Search in Google Scholar

Yu, Y., Wang, X., Zhong, R. Y., & Huang, G. Q. (2017). E-commerce logistics in supply chain management: Implementations and future perspective in furniture industry. Industrial Management & Data Systems, 117(10), 2263-2286. Search in Google Scholar

Li, J., Dong, R., Wu, X., Huang, W., & Lin, P. (2024). A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer. Biomimetics, 9(9), 516. Search in Google Scholar

Ji, B., Yuan, X., & Yuan, Y. (2018). A hybrid intelligent approach for co-scheduling of cascaded locks with multiple chambers. IEEE transactions on cybernetics, 49(4), 1236-1248. Search in Google Scholar

Yongqing Fan,Yu Zhang & Zhen Li. (2025). Distributed adaptive tracking consensus control for a class of heterogeneous nonlinear multi-agent systems. Mathematics and Computers in Simulation420-441. Search in Google Scholar

Liu Xiaoxiong,Yin Yi,Su Yuzhan & Ming Ruichen. (2022). A Multi-UCAV Cooperative Decision-Making Method Based on an MAPPO Algorithm for Beyond-Visual-Range Air Combat. Aerospace(10), 563-563. Search in Google Scholar

Yinxia Zhang & Liang Wang. (2024). A Dynamic Scheduling Method for Logistics Supply Chain Based on Adaptive Ant Colony Algorithm. International Journal of Computational Intelligence Systems(1),198-198. Search in Google Scholar

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