数字孪生技术在电商智能仓储调度中的应用与效果验证

Application and Effect Verification of Digital Twin Technology in E-commerce Intelligent Warehouse Scheduling

摘要

电商行业高速发展之下，仓储调度作为供应链关键部分，碰上订单波动幅度大，库存周转要求高，资源配置复杂等痛点，数字孪生技术凭借创建物理仓储和虚拟模型的即时映射，达成调度全流程的可视化，可预测，可优化，本文针对数字孪生在电商智能仓储调度中的应用展开研究，剖析技术应用状况与现存问题，给出对应的实施策略，经由实际场景检验其在效率，成本，风险等方面的应用成效，研究显示，数字孪生技术能够破解传统仓储调度信息孤岛和决策迟缓的难题，给电商仓储达成智能化，柔性化调度给予支持，有着重大的实际价值和推广意义。

Abstract

With the rapid development of the e-commerce industry, as a key part of the supply chain, the warehousing scheduling industry encounters pain points of large order fluctuations, high inventory turnover requirements and complex resource allocation. With the help of digital twin technology, the physical warehouse and virtual model can be created and mapped in time, and the whole process of scheduling can be visualized, predicted and optimized. This paper focuses on the application of digital twin in e-commerce intelligent warehousing scheduling, analyzes the application status and existing problems of the technology, and gives the corresponding implementation strategy. The application effectiveness in efficiency, cost and risk is tested by real scene, the research shows the digital twin technology can break the information island and slow decision-making problems of traditional warehousing scheduling, and provide support for the intelligent and flexible scheduling of e-commerce housing, which has important practical value and promotion significance.

关键词

数字孪生技术 / 电商智能 / 仓储调度 / 应用 / 效果验证

Key words

Digital twin technology / E-commerce intelligence / Warehouse scheduling / Application / Effect verification

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