Who is this course for?

Beginners, business professionals, quality teams, and process improvement practitioners looking to build measurement and analysis skills using Lean Six Sigma.

What will I be able to do after completing this course?

Define and map processes, analyse data using Six Sigma statistics, validate measurement systems, and assess process capability to support data-driven improvement decisions.

What topics are covered in the course?

Six Sigma Measure phase, process mapping (SIPOC, process maps), Value Stream Mapping, X-Y diagrams, FMEA, Six Sigma statistics, Measurement System Analysis (Gage R&R, Attribute Agreement Analysis), and process capability (DPU, DPMO).

Are there any prerequisites for this course?

No prior Six Sigma or advanced statistical knowledge is required. This is a beginner-level course.

Will I receive a certificate after completion?

Yes, you’ll earn a certificate validating your ability to apply Lean Six Sigma Measure phase concepts, analyse data, and evaluate process performance.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Measuring and Analyzing Process Performance Training

Measuring and Analyzing Process Performance Training

本课程是 Six Sigma Yellow Belt Exam Prep Certification 专项课程的一部分

位教师：Priyanka Mehta

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

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

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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。

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通过实践项目培养工作相关技能
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该课程共有4个模块

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.

By the end of this course, you will be able to: - Apply Measure Phase Tools: Define, map, and analyse processes using SIPOC, process maps, and risk analysis tools - Use Six Sigma Statistics: Analyse data using basic metrics, charts, and distributions - Validate Measurement Systems: Assess data accuracy and reliability using MSA, Gage R&R, and attribute studies - Assess Process Capability: Evaluate process performance and variation to support improvement decisions No prior advanced statistical knowledge required; ideal for professionals looking to strengthen measurement, analysis, and data-driven improvement skills in Lean Six Sigma projects.

单元详情

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

17个视频总计41分钟

Introduction to Measure Phase1分钟
Learning Objectives0分钟
Tools to Define a Process1分钟
Cause-and-Effect Diagram1分钟
Drawing a Fishbone Diagram2分钟
Process Mapping2分钟
Creating a Process Map3分钟
Process Mapping Levels2分钟
Four Types of Process Maps1分钟
SIPOC Process Map3分钟
Value Stream Maps3分钟
Value Stream Map: Key Metrics 4分钟
X-Y Diagrams or Scatter Plots7分钟
Failure Mode and Effects Analysis (FMEA) 3分钟
FMEA Process2分钟
FMEA Template5分钟
Key Takeaways1分钟

1篇阅读材料总计10分钟

Course Syllabus10分钟

4个作业总计145分钟

Quiz on Understanding the Measure Phase15分钟
Quiz on Process Mapping and Visualization15分钟
Quiz on Advanced Process Analysis Tools55分钟
Assessment for Process Definition60分钟

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

16个视频总计48分钟

Learning Objectives1分钟
Data4分钟
Measurement Scales2分钟
Basic Statistics4分钟
Measures of Central Tendency3分钟
Measures of Dispersion2分钟
Graphical Analysis1分钟
Graphical Analysis Tools3分钟
Demo: Introduction to Minitab 14分钟
Demo: Box Plot One Variable2分钟
Demo: Box Plot with Three Variables1分钟
Demo: Time Series Plot2分钟
Normal Distribution 2分钟
Standard Normal Distribution3分钟
Demo: Normality Test2分钟
Key Takeaways1分钟

4个作业总计145分钟

Quiz on Fundamentals of Data and Measurement15分钟
Quiz on Graphical and Statistical Analysis15分钟
Quiz on Understanding Normality55分钟
Assessment for Six Sigma Statistics60分钟

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

19个视频总计25分钟

Learning Objectives0分钟
Measurement System Analysis: Overview2分钟
Good and Poor Measurement System Analysis2分钟
Measurement Error: Categories2分钟
MSA: Sources of Variation1分钟
Repeatability1分钟
Reproducibility 1分钟
Accuracy1分钟
Bias0分钟
Stability1分钟
Linearity1分钟
Types of MSA1分钟
Gage R&R Study2分钟
Gage R&R: Ground Rules1分钟
Demo: Gage R&R Continuous Data2分钟
Attribute Agreement Analysis (AAA)2分钟
Attribute Gage Study1分钟
Demo: Gage R&R Attribute Data2分钟
Key Takeaways1分钟

4个作业总计145分钟

Quiz on Overview of MSA15分钟
Quiz on Assessing Measurement Accuracy and Consistency15分钟
Quiz on Performing MSA Studies55分钟
Assessment for Measurement System Analysis60分钟

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.