This measuring and analyzing process performance training develops strong skills in defining, measuring, and analysing processes to enable accurate, data-driven improvement. You learn the Measure phase and key tools such as SIPOC, process maps, cause-and-effect analysis, Value Stream Mapping, and FMEA to identify risks and performance gaps. The course also covers Six Sigma statistics, Measurement System Analysis, and process capability techniques to assess variation, reliability, and short- and long-term performance, enabling confident, evidence-based improvement decisions.
Measuring and Analyzing Process Performance Training
Measuring and Analyzing Process Performance Training
位教师：Priyanka Mehta
访问权限由 New York State Department of Labor 提供
您将学到什么
Define and map processes using the Six Sigma Measure phase and core tools
Analyse data using Six Sigma statistics, charts, and distributions
Validate data accuracy and reliability through Measurement System Analysis
Assess process capability to evaluate variation and performance gaps
您将获得的技能
- Risk Analysis
- Process Mapping
- Descriptive Statistics
- Process Capability
- Failure Mode And Effects Analysis
- Statistical Analysis
- Process Analysis
- Process Improvement
- Statistical Methods
- Statistics
- Performance Measurement
- Lean Six Sigma
- Systems Of Measurement
- Probability & Statistics
- Statistical Process Controls
- Root Cause Analysis
- 技能部分已折叠。显示 9 项技能，共 16 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Six Sigma Yellow Belt Exam Prep Certification 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
Explore the Six Sigma Measure phase to define, map, and analyse processes. Learn Measure phase objectives and tools to document processes effectively. Create cause-and-effect and fishbone diagrams, build process maps at multiple levels, and use SIPOC for end-to-end visibility. Apply Value Stream Maps, X-Y diagrams, and FMEA to identify risks, relationships, and performance gaps, enabling accurate measurement and data-driven improvement.
涵盖的内容
17个视频1篇阅读材料4个作业
Explore Six Sigma statistics to build a foundation in data and measurement. Learn data types, measurement scales, basic statistics, and measures of central tendency and dispersion. Use graphical analysis tools such as box plots and time series plots with practical Minitab demos. Understand normal and standard normal distributions, perform normality tests, and interpret results to support accurate, data-driven decisions.
涵盖的内容
16个视频4个作业
Explore Measurement System Analysis to evaluate the accuracy and reliability of data in Six Sigma projects. Learn MSA fundamentals, measurement errors, and sources of variation. Assess repeatability, reproducibility, accuracy, bias, stability, and linearity. Perform MSA studies using Gage R&R and Attribute Agreement Analysis, with practical demonstrations for continuous and attribute data, to ensure measurement systems support valid analysis and confident decision-making.
涵盖的内容
19个视频4个作业
Explore Process Capability to assess how well processes meet performance requirements. Learn process capability concepts, data types, and how to establish reliable performance baselines. Understand components of variation and process stability. Apply process capability indices and perform capability analysis using continuous and attribute data, including DPU, DPMO, and sigma levels. Evaluate short- and long-term process performance to drive data-driven improvement decisions.
涵盖的内容
20个视频5个作业
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