摘 要
随着现代制造业的快速发展，机械设计制造自动化已成为提升生产效率和产品质量的关键技术。本研究聚焦于机械设计制造自动化过程中的质量控制与持续改进策略，旨在通过系统化的理论分析与实践探索，构建一套适用于自动化生产的质量管理体系。通过对国内外相关文献的梳理及对典型企业的实地调研，发现当前质量控制存在流程标准化不足、实时监控手段欠缺等问题。提出基于大数据分析的质量预测模型，结合物联网技术实现生产过程的全程可视化管理，并引入六西格玛管理理念优化工艺流程。创新性地将智能制造技术与传统质量管理方法相融合，为制造业转型升级提供了可借鉴的解决方案，不仅提升了企业竞争力，也为行业标准制定提供了参考依据，推动了机械制造领域的高质量发展。
关键词：机械设计制造自动化 质量控制体系 大数据分析
Abstract
With the rapid development of modern manufacturing industry, mechanical design and manufacturing automation has become a key technology to improve production efficiency and product quality. This study focuses on the quality control and continuous improvement strategies in the automation process of mechanical design and manufacturing, aiming to build a set of quality management system suitable for automated production through systematic theoretical analysis and practical exploration. Through the review of relevant literature at home and abroad and the field investigation of typical enterprises, it is found that there are some problems in the current quality control, such as insufficient standardization process and lack of real-time monitoring means. This paper proposes a quality prediction model based on big data analysis, combines the Internet of Things technology to realize the visual management of the entire production process, and introduces six Sigma management concept to optimize the process flow. The innovative integration of intelligent manufacturing technology and traditional quality management methods provides a referential solution for the transformation and upgrading of the manufacturing industry, which not only enhances the competitiveness of enterprises, but also provides a reference basis for the formulation of industry standards, and promotes the high-quality development of the field of machinery manufacturing.
Keyword:Mechanical Design And Manufacturing Automation Quality Control System Big Data Analysis
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
2质量控制体系构建 2
2.1自动化生产中的质量标准 2
2.2质量检测技术应用 2
2.3质量数据管理与分析 3
3持续改进机制实施 4
3.1改进流程的设计与优化 4
3.2关键环节的监控与调整 4
3.3人员培训与意识提升 5
4技术创新与智能化升级 5
4.1新型自动化技术引入 5
4.2智能制造对质量的影响 6
4.3技术融合促进持续改进 7
结论 7
参考文献 9
致谢 10
