Application of digital twin technology in smart warehousing and distribution network optimization

With the rapid development of smart logistics, the integration of digital twin technology into warehousing and distribution network optimization has emerged as a promising solution to improve operational efficiency, reduce costs, and enhance decision-making capabilities. This study explores how a digital twin framework can be constructed for smart warehousing and how it can be leveraged to optimize distribution networks. We review existing literature on digital twin foundations, smart warehousing systems, and distribution optimization methods, highlighting research gaps and practical challenges. A conceptual three-layer architecture is proposed, comprising the perception layer, data layer, and application layer, along with data flow and functional modules including warehousing simulation, dynamic routing optimization, and predictive maintenance. The discussion elaborates on the advantages, limitations, and managerial implications of the proposed framework. Future research directions include empirical validation, integration with blockchain, and applications in green logistics.