数字化工业工程技术在智能物流的应用研究——以亚马逊为例

Research on the Application of Industrial Engineering Technologies in Intelligent Logistics Enterprises under the Background of Digitalization—A Case Study of Amazon

摘要: 在数字化的大潮之下，工业工程技术成了智能物流优化运营的重要工具。本文从流程优化、智能调度、仓储自动化和人机协同入手，联系亚马逊案例，对工业工程在物流中所具有的优缺点以及它的特点进行分析。通过SWOT分析可知它在提高效率、降低成本和增强竞争力方面起到的作用，也暴露出我国企业技术融合、管理体系以及人才供给等方面存在的问题。最后对亚马逊在系统优化、仓储迭代、成本精细化、数据驱动决策等方面的做法进行总结，并且展示工业工程对于物流模式升级所起的作用。在此基础上，本文对比了亚马逊高投入模式与我国企业资源受限的现状，提出了相应的改进策略。最后对技术集成、人才培养和风险管理提出改进策略，给我国智能物流的数字化转型提供借鉴。

Abstract: Under the tide of digitalization, industrial engineering technology has become an important tool for optimizing the operation of intelligent logistics. This article starts from process optimization, intelligent scheduling, warehouse automation, and human-machine collaboration, and connects with the case of Amazon to analyze the advantages and disadvantages as well as the characteristics of industrial engineering in logistics. Through SWOT analysis, it is known that it plays a role in improving efficiency, reducing costs, and enhancing competitiveness, but also exposes problems in the integration of technology, management systems, and talent supply in Chinese enterprises. Finally, it summarizes Amazon’s practices in system optimization, warehouse iteration, cost refinement, and data-driven decision-making, and demonstrates the role of industrial engineering in upgrading the logistics model. On this basis, this article compares the high-investment model of Amazon with the current situation of resource constraints in Chinese enterprises and proposes corresponding improvement strategies. Finally, it puts forward improvement strategies for technology integration, talent cultivation, and risk management, providing references for the digital transformation of intelligent logistics in China.