主要课程
Courses
Course: Advanced Statistical Tools for Production
课程名称：生产实用统计学高阶工具
时长/Duration: 3 days
语言/Language: CN/EN
Introduction
In the production area, statistical knowledge has been applied everywhere, whether it is the control chart and process capability analysis in SPC, the hypothesis test used to identify the impact of factors on product performance, the correlation analysis and regression analysis used to identify the quantitative relationship between input variables and output variables, and ANOVA and DOE that analyze the interaction among multiple influencing factors.
These basic statistical tools can help us form a more scientific and quantifiable understanding of the process, so as to better control the product quality. Based on the course of basic statistical for production, this course will continue to introduce more advanced statistical tools to meet the demand for more complex situations.
课程简介
在生产领域，统计学知识与工具的应用无处不在，不论是SPC中的控制图和过程能力分析，还是用于识别因子对产品性能影响的假设检验，以及用于识别输入变量和输出变量之间量化关系的相关分析和回归分析，乃至同时研究多个因子交互作用的方差分析和实验设计。
这些统计学基础工具可以帮助我们对工艺流程形成更科学的、可量化的理解，从而更好地把控产品质量。本门课程将在生产实用统计学基础工具课程的基础上，继续介绍更高级的统计学工具，以应对更复杂场景的需要。
Target Audience
• Technicians, engineers, and management personnel in the field of quality, production and technology.
• Have basic statistical knowledge or have attended basic statistical for production training.
目标学员
• 企业质量、生产和技术领域的技术员、工程师及管理人员。
• 具备统计学基础知识，或参加生产实用统计学基础工具培训。
Objective
At the end of the course, students will master the advanced statistical knowledge and tools for production, including but not limited to the following contents:
• Multiple regression analysis
• ANOVA
◦ One way ANOVA
◦ Two way ANOVA
• DOE
◦ Full factorial design
◦ Fractional factorial design
◦ Center point
◦ Response surface design
◦ Mixture design
◦ Taguchi design
课程目标
在课程结束时，学员将掌握生产实用统计学高阶知识及工具，包括但不限于以下内容：
• 多元回归分析
• 方差分析
◦ 单因子方差分析
◦ 多因子方差分析
• 实验设计
◦ 全因子析因设计
◦ 部分因子实验设计
◦ 中心点
◦ 响应曲面设计
◦ 混料设计
◦ 田口设计
Course Outline
• Multiple regression analysis
◦ Basic principle of multiple regression analysis
◦ Operation steps and practical exercise for multiple regression analysis
• ANOVA
◦ Basic principle of ANOVA
◦ Operation steps and practical exercise for one way ANOVA
◦ Operation steps and practical exercise for wo way ANOVA
• DOE
◦ Basic principle of DOE
◦ Operation steps and practical exercise for full factorial design
◦ Operation steps and practical exercise for fractional factorial design
◦ Center point
◦ Response surface design
◦ Mixture design
◦ Taguchi design
课程大纲
• 多元回归分析
◦ 多元回归分析原理
◦ 多元回归分析步骤及实操练习
• 方差分析
◦ 方差分析原理
◦ 单因子方差分析步骤及实操练习
◦ 多因子方差分析步骤及实操练习
• 实验设计
◦ 实验设计基本原理
◦ 全因子析因设计、分析步骤及实操练习
◦ 部分因子实验设计、分析步骤及实操练习
◦ 中心点
◦ 响应曲面设计
◦ 混料设计
◦ 田口设计
