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Research on the Optimization of Enterprise Supply Chain Management Model under the Digital Transformation

Qingwen Xue

Green Veil Mining Simplified Co. LTD. Haidian District Beijing

Abstract:

Against the backdrop of accelerating digital economy penetration, supply chains—serving as crucial platforms for corporate competitiveness—are undergoing unprecedented transformations in their management models. Digital transformation provides technological support and methodological guidance for enterprise supply chain management, effectively addressing pain points in traditional supply chains such as information silos, delayed responsiveness, and inefficient collaboration. Based on the technical characteristics and value logic of digital transformation, this paper analyzes existing issues in current enterprise supply chain management. It proposes optimization pathways for supply chain management models from four dimensions: information sharing mechanisms, end-to-end collaborative systems, intelligent decision-making capabilities, and risk prevention systems. The feasibility of these optimization strategies is validated through case studies of typical enterprises. Finally, implementation recommendations are provided to ensure successful optimization implementation, offering references for enterprises to enhance supply chain management capabilities through digital means.


Key Words:

digital transformation; supply chain management; model optimization; information sharing; intelligent collaboration

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