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论文编号：	15637
作者编号：	2320234014
上传时间：	2025/12/8 17:27:11
中文题目：	基于DMAIC方法的X公司治疗仪质量管理改善研究
英文题目：	A Study on the Improvement of Quality Management of Therapeutic Devices in Company X Based on DMAIC Method
指导老师：	梁峰
中文关键字：	医疗器械；六西格玛；DMAIC；质量改善；一次交验合格率
英文关键字：	Medical Devices; Six Sigma; DMAIC; Quality Improvement; First-Pass Yield (FPY)
中文摘要：	随着中国医疗器械行业进入高速、高质量的发展阶段，在监管趋严和市场竞争加剧的双重压力下，质量管理能力已成为医疗器械生产企业的核心竞争力。通过文献回顾与调研，研究梳理了国内外医疗器械质量管理研究现状，发现当前国内中小医疗器械生产企业的六西格玛实施路径研究存在一定的局限性。同时通过调研显示X公司在质量管理中暴露出由多重因素共同作用导致的系统性缺陷。因此，本研究以X公司生产的干眼治疗仪为研究对象，选取治疗仪量产初期仅61.7%的一次交验合格率这一突出的质量问题，将六西格玛中DMAIC方法与医疗器械行业特性相结合，开展系统性质量改善研究。 在DMAIC的定义阶段，运用SIPOC模型梳理了供应商、输入、过程、输出及客户等关键环节，并基于现状分析确立了将产品一次交验合格率提升至80%的量化目标。在测量阶段，通过严格的测量系统分析确保数据采集的可靠性和一致性，识别并锁定了操作不当和物料批次波动作为核心影响因子。在分析阶段，运用鱼骨图对潜在问题进行全面结构化梳理，借助FMEA工具评估失效模式及影响，深入剖析了根本原因。在改进阶段，实施了一系列综合改善方案，包括作业标准化以规范操作流程、过程监控强化等。在控制阶段，通过标准操作程序的迭代优化和统计过程控制的持续应用，构建了长效的质量监控与保障体系。通过一系列改善活动，X公司干眼治疗仪生产过程的一次交验合格率提升幅度达20.8%，实现了质量目标并提升了整体生产效能。 研究证实，DMAIC方法能够有效解决医疗器械生产中的复杂质量问题，其数据驱动与合规融合的实施路径，不仅为X公司建立了科学的质量改善路径和可持续的质量改善文化，更探索出适用于中小企业在高风险医疗器械质量管理中的DMAIC实施路径，为行业提供了实践案例。
英文摘要：	As China's medical device industry enters a phase of rapid and high-quality development, stringent regulatory requirements and intensifying market competition have made quality management capability a core competitive advantage for manufacturers. Through literature review and empirical research, this study systematically examines the current landscape of quality management in medical devices, revealing significant gaps in Six Sigma implementation pathways for small and medium-sized domestic medical device enterprises. A diagnostic analysis of Company X further identified systemic quality defects driven by multiple factors. Focusing on the intense pulsed light therapy device—which exhibited an initial first-pass yield of only 61.7%—this study integrates the DMAIC methodology with medical device industry-specific requirements to conduct systematic quality improvement. In the Define phase, the SIPOC model was employed to map critical processes (suppliers, inputs, processes, outputs, customers), establishing a quantified goal of achieving an 80% first-pass yield. The Measure phase ensured data reliability through measurement system analysis, identifying operational inconsistencies and material batch variations as key factors. During the Analyze phase, fishbone diagrams and FMEA were used to structurally identify root causes. The Improve phase implemented solutions including standardized workflows and enhanced process monitoring. Finally, the Control phase institutionalized improvements through optimized SOPs and SPC-based continuous monitoring. Through these interventions, the first-pass yield for Company X's IPL devices improved 20.8% relative increase—achieving the target while enhancing overall production efficiency. The study demonstrates that DMAIC effectively addresses complex quality challenges in medical device manufacturing. Its data-driven and compliance-integrated approach not only established a scientific quality improvement framework for Company X but also developed a replicable DMAIC implementation model for SMEs in high-risk medical device production, providing actionable insights for the industry.
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