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Courses
Course: Basic Statistical Tools for Production
课程名称：生产实用统计学基础工具
时长/Duration: 4 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, and the correlation analysis and regression analysis used to identify the quantitative relationship between input variables and output variables.
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. This course will teach the basic knowledge of statistics needed in production, and systematically introduce the commonly used statistical tools, so that students can better understand and use them at work.
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。
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。本门课程将传授生产中需要用到的统计学基础知识，并系统地介绍常用的统计学工具，使学员更好地理解并运用这些工具。
Target Audience
Technicians, engineers, and management personnel in the field of quality, production and technology.
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。
Objective
At the end of the course, students will master the basic statistical knowledge and tools for production, including but not limited to the following contents:
• Measurement system analysis
• Sample size calculation
• Sampling strategy
• Process capability analysis
• Hypothesis test
• Correlation analysis
• Simple linear regression
课程目标
在课程结束时，学员将掌握生产实用统计学基础知识及工具，包括但不限于以下内容：
• 测量系统分析
• 样本量计算
• 抽样策略
• 过程能力分析
• 假设检验
• 相关分析
• 简单线性回归
Course Outline
• Basic knowledge of Statistics
◦ Data distribution
◦ Sampling basics
◦ Data source
◦ Sample size
◦ Confidence interval
◦ Sampling strategy
• Introduction and demonstration of statistical analysis software - Minitab
• Measurement system analysis
◦ Introduction to the basic principle of measurement system analysis
◦ Explanation of multi-dimensional measurement system analysis theory and practical steps
◦ Case study of measurement system analysis and improvement
• Process capability analysis
◦ Basic principles of process capability analysis
◦ Practical steps of process capability analysis
◦ Case study of process capability analysis
• Control chart
◦ Basic principle of control chart
◦ Operation steps, deviation criteria and corresponding process improvement directions different types of control charts
◦ Case study of control chart
• Hypothesis test
◦ Basic principle of hypothesis test
◦ Practical exercise for hypothesis test
• Correlation
◦ Basic principle of correlation
◦ Practical exercise for correlation
• Regression
◦ Basic principle of regression
◦ Practical exercise for regression
课程大纲
• 统计学基础知识
◦ 数据分布类型
◦ 抽样原理
◦ 数据源选取
◦ 样本量选取
◦ 置信区间
◦ 抽样策略
• Minitab统计分析软件讲解与演示
• 测量系统分析
◦ 测量系统分析基本原理介绍
◦ 多维度测量系统分析理论讲解、实操步骤、及案例分析
◦ 测量系统分析及改善的案例讲解
• 过程能力分析
◦ 过程能力分析的基本原理
◦ 过程能力分析的实操步骤
◦ 过程能力分析的案例讲解
• 控制图
◦ 控制图的基本原理
◦ 分类详解控制图的实操步骤、判异标准及对应的流程改善方向
◦ 控制图的案例讲解
• 假设检验
◦ 假设检验原理
◦ 假设检验实操练习
• 相关分析
◦ 相关分析原理
◦ 相关分析实操练习
• 回归分析
◦ 回归分析原理
◦ 回归分析实操练习
