Quality Engineering
质量工程是研究如何通过系统的方法和工具实现产品和过程质量保证与持续改进的学科。课程内容包括质量管理发展史、全面质量管理、质量成本分析、统计过程控制（SPC）、控制图、过程能力分析、抽样检验、质量功能展开（QFD）、失效模式与影响分析（FMEA）、田口方法、六西格玛管理等。学生将学习运用Minitab等工具进行质量数据分析和改进。
Quality Engineering studies how to achieve quality assurance and continuous improvement of products and processes through systematic methods and tools. Topics include quality management history, total quality management, quality cost analysis, statistical process control (SPC), control charts, process capability analysis, acceptance sampling, quality function deployment (QFD), failure mode and effects analysis (FMEA), Taguchi methods, and Six Sigma management. Students learn to use Minitab for quality data analysis and improvement.
选择一个制造过程或服务过程作为研究对象，收集关键质量特性的连续测量数据。应用统计过程控制方法，绘制控制图（如X-bar-R图、P图等）判断过程是否处于统计受控状态，计算过程能力指数Cp、Cpk评价过程满足规范的能力。针对发现的质量问题，运用鱼骨图、帕累托图等工具进行原因分析，提出DMAIC改进方案并预期改进效果。
Select a manufacturing or service process as the research subject and collect continuous measurement data of key quality characteristics. Apply statistical process control methods, plot control charts (such as X-bar-R charts, P charts) to determine if the process is in statistical control, and calculate process capability indices Cp and Cpk to evaluate the process's ability to meet specifications. For identified quality issues, use tools like fishbone diagrams and Pareto charts for cause analysis, propose a DMAIC improvement plan, and anticipate improvement effects.