Abstract
With the rapid development of network technology and big data technology, the supply chain management model has been greatly influenced. Enterprises are seeking information management technology that meets their needs, and collaborative supply chain management is the use of blockchain information sharing platform to enable smooth interfacing between various business links. The purpose of this paper is to study the optimal management of enterprise supply chain collaboration based on blockchain technology. The introduction of blockchain technology into collaborative supply chain information management enables the decentralisation and intelligence of supply chain enterprises in their operations, providing a new model for the realisation of supply chain synergy benefits. Finally, the system is functionally validated, verifying the feasibility and rationality of the platform in terms of theory and functionality.
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Acknowledgements
This work was supported by Zhanjiang University of Science and Technology 2022 university-level scientific research project: Enterprise supply chain optimisation and response based on sustainable development: Agility, adaptation, and coordination research (project number: kjcky202209jxtd); Zhanjiang University of Science and Technology “Brand Promotion Program” school-level Teaching Team Project: Digital Finance Teaching Team (project number: ppjh202107jxtd); 2022 Provincial University Student Innovation and Entrepreneurship Project: A holistic approach to the promotion of rural economic development by Wuhua Count’s red tourism and distinctive cultural industries(project number: PUSIAE2207P).
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Wu, Y. (2024). The Optimal Management of Enterprise Supply Chain Collaboration Based on Blockchain Technology. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 2. CIPA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 197. Springer, Singapore. https://doi.org/10.1007/978-981-97-1979-2_11
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DOI: https://doi.org/10.1007/978-981-97-1979-2_11
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