Quality Management in Excel- Control Charts

Quality Management in Excel- Control Charts, available at $69.99, has an average rating of 4.7, with 21 lectures, 4 quizzes, based on 25 reviews, and has 163 subscribers.

You will learn about Statistical Process Control how to use and interpret Control Charts how to understand Process Variation Six Sigma concepts and tools Process Improvement concepts and tools Continuous Improvement concepts and tools how to perform statistical Data Analysis Statistics Data Visualizations Quality Management Process Quality Quality This course is ideal for individuals who are Six Sigma Green Belt or Six Sigma Yellow Belt or Operations Managers or Process Engineers or Design Engineers or Industrial Engineers or Data Analysts or Statisticians or Quality Engineers or Quality Managers It is particularly useful for Six Sigma Green Belt or Six Sigma Yellow Belt or Operations Managers or Process Engineers or Design Engineers or Industrial Engineers or Data Analysts or Statisticians or Quality Engineers or Quality Managers.

Enroll now: Quality Management in Excel- Control Charts

Summary

Title: Quality Management in Excel- Control Charts

Price: $69.99

Average Rating: 4.7

Number of Lectures: 21

Number of Quizzes: 4

Number of Published Lectures: 21

Number of Published Quizzes: 4

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Statistical Process Control
how to use and interpret Control Charts
how to understand Process Variation
Six Sigma concepts and tools
Process Improvement concepts and tools
Continuous Improvement concepts and tools
how to perform statistical Data Analysis
Statistics
Data Visualizations
Quality Management
Process Quality
Quality

Who Should Attend

Six Sigma Green Belt
Six Sigma Yellow Belt
Operations Managers
Process Engineers
Design Engineers
Industrial Engineers
Data Analysts
Statisticians
Quality Engineers
Quality Managers

Target Audiences

Six Sigma Green Belt
Six Sigma Yellow Belt
Operations Managers
Process Engineers
Design Engineers
Industrial Engineers
Data Analysts
Statisticians
Quality Engineers
Quality Managers

Statistical process control and control charts are an important part of operations management. For years, these tools have been used in all kinds of industries including healthcare, manufacturing, software development finance and Human Resources. With the increasing accessibility and the increasing demand for data analysis and data-based decision making, control charting is an important tool to be able to create, understand and apply.

This course will walk through the fundamentals of what control charts are, what insights can be gathered from them and how different control charts can be used to answered different strategic and operational questions.

Each module features several lectures, downloadable lecture files and a quiz to test your learning.

Additionally, The course features an entire module tackling specific real-world cases for using control charts and statistical process control.

Topics covered include:

Module 1:

The history of statistical process control (SPC) and control charting

Parts of a control chart

Advantages of using control charts

Types of control charts (I chart, U chart, P chart, etc.)

Module 2:

Key assumptions

Change in mean signals

External influence signals

Change in process stability/capability signals

Module 3:

Exercises for building individual range charts

Exercises for building moving range charts

Exercises for building P charts

Exercises for building U charts

Module 4:

Applying control charts to hospital wait times

Applying control charts to manufacturing process control

Applying control charts to A/B testing in software development

Applying control charts to an inspection process

Module 5:

Control Chart Case Examples

Course Curriculum

Chapter 1: Control Chart Fundamentals

Lecture 1: What are Control Charts?

Lecture 2: Parts of a Control Chart, Making a Control Chart in Excel

Lecture 3: Benefits of Control Charting

Lecture 4: Types of Data and Types of Control Charts

Lecture 5: Appendix: Offset Formula from Lecture 1.4

Chapter 2: Module 2: Signals

Lecture 1: Control Charting Assumptions

Lecture 2: Strong Signals

Lecture 3: Moderate Sustained Signals

Lecture 4: Weak Sustained Signals

Lecture 5: Appendix 2.1: Root Cause Analysis Part 1

Lecture 6: Appendix 2.1: Root Cause Analysis Part 2

Lecture 7: Appendix 2.2 Improving Stable Processes

Chapter 3: Module 3: Control Charts with Categorical Data

Lecture 1: P-Charts

Lecture 2: U-Charts

Chapter 4: Module 4: Control charts without Control Charts

Lecture 1: Control Charts without charts fundamentals

Lecture 2: Control Charts without charts – Signals continued

Lecture 3: Nested Logic Part 1

Lecture 4: Nested Logic Part 2

Lecture 5: Nested Logic Part 3

Chapter 5: Module 5: Cases

Lecture 1: Case 1: Manufacturing Application

Lecture 2: Case 2: Ph Testing

Instructors

Michael Parent
Principal – Michael Parent Consulting

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 5 votes
5 stars: 18 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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