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作 者:闫文慧
机构地区:[1]北京邮电大学经济管理学院,北京
出 处:《社会科学前沿》2024年第11期439-451,共13页Advances in Social Sciences
摘 要:车联网技术作为汽车智能交通系统的创新,正成为行业焦点。功能日益丰富,如远程解锁、启动等,但质量问题亦随之显现。提升车联网搭载功能质量,对提高车主满意度、吸引购车用户及增强企业市场竞争力至关重要。本研究以GW汽车公司的车联网远程车控为例,探讨车联网项目的质量问题,运用PDCA循环理论进行质量控制。研究选取GW公司R品牌车型,采用多种研究方法,分析了车联网项目在需求设计、研发、测试等阶段的质量管理问题,并提出优化建议,构建了一套基于PDCA循环的质量控制体系和设计优化方案。这不仅为GW公司提供质量管理优化方案,也为其他汽车企业搭载车联网项目质量管理提供了参考。研究显示,PDCA质量管理体系的实施对GW汽车车联网项目质量管理具有显著指导意义,并提出了具体的改进措施和建议,以提升整体质量管理水平。Internet of Vehicles technology is becoming an industry focus as an innovation in automotive intelligent transport systems. Functions are becoming increasingly abundant, such as remote unlocking and starting, but quality issues are also emerging. Enhancing the quality of Internet of Vehicles on-board features is crucial to improving owner satisfaction, attracting car-buying users and enhancing companies’ market competitiveness. This study takes the Internet of Vehicles remote car control of GW Automobile Company as an example to explore the quality problems of Internet of Vehicles projects, and applies the PDCA cycle theory for quality control. The study selects GW’s R-brand model and adopts various research methods to analyse the quality management problems of the Internet of Vehicles project in the phases of requirement design, R&D and testing, and puts forward optimisation suggestions. A set of quality control system and design optimisation scheme based on PDCA cycle is constructed. This not only provides a quality management optimisation solution
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