智能制造在汽车工业中的实施与挑战

Implementation and Challenges of Smart Manufacturing in the Automotive Industry

摘要

伴随全球制造业走向智能化转型，汽车产业正在经历技术升级和产能重构的重要时期。本文基于智能制造核心理念，自系统规划、信息集成与装备互联等方面研究其于汽车工业中的应用路径，借助理论梳理和实地调研，总结出关键实施环节与障碍瓶颈。研究结果表明，智能制造显著提高了生产效率和产品质量，然而于技术融合、协同管理以及组织变革等方面依旧遭遇挑战。研究也阐明了企业文化与技术融合的重要性，促进跨界协同创新，给汽车产业达成高质量转型供给理论支持和实践启示。

Abstract

As the global manufacturing sector moves towards intelligent transformation, the automotive industry is experiencing a critical period of technological advancement and production capacity restructuring. Based on the core concepts of smart manufacturing, this paper examines its application pathways in the automotive industry from the perspectives of system planning, information integration, and equipment connectivity. Through theoretical analysis and field research, key implementation stages and operational bottlenecks are summarized. The findings indicate that smart manufacturing significantly enhances production efficiency and product quality, yet challenges remain in areas such as technology integration, collaborative management, and organizational change. The study also highlights the importance of corporate culture in facilitating technological convergence and fostering cross-disciplinary collaborative innovation, providing theoretical support and practical insights for the high-quality transformation of the automotive industry.

关键词

智能制造 / 汽车产业 / 系统规划 / 技术融合 / 跨界协同创新

Key words

Smart manufacturing / Automotive industry / System planning / Technology integration / Cross-disciplinary collaborative innovation

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