BMG University
Denver, Colorado, United States
http://www.bmguniversity.com/

Control Phase Tools

This course provides a fundamental overview of the control plan tool, along with a description of the various types of control methods. Intended for Six Sigma practitioners, process owners and team members, this program is a recommended course for individuals that will be involved in implementing and maintaining the Six Sigma project solution....
 

In this module, a detailed overview of the control plan tool is provided along with a description of the various types of control methods....
 

From the history of SPC to the difference between common cause and special cause variation, this course describes how to use SPC to measure and control process variation. Run Charts and Control Charts are illustrated and defined, and the rules for interpreting the charts are described in detail. Finally, the course discusses how Control Charts can be used to assess variation and take action to ......
 

This course covers Full Factorials and introduces 2K Factorials. General factorial experiment design and analysis are demonstrated, and several concepts are introduced including main effects and interactions, as well as key DOE terms. In addition, this course shows how to derive Y as a function of X. This module is intended for Six Sigma practitioners, team members, and process owners. Introduc......
 

In this course, students will learn a variety of tools used to produce solutions aimed at reducing the effects of root cause issues. Techniques explored include brainstorming, benchmarking, open innovation, and biomimicry. Students will also learn how to group and clarify ideas in preparation for evaluating solutions....
 

Concepts covered in this course include ANOVA, or Analysis of Variance, sum of squares and mean square error. A detailed process for executing a successful ANOVA is demonstrated and calculations are practiced using Minitab....
 

This module introduces simple Linear Regression and how it can be used to study the relationship between a continuous Y and continuous X variable. It discusses how the regression line can be used to predict the value of Y for a given value of X....
 

This module discusses how to deal with hypothesis tests when both the X and Y are attribute or discrete data and the levels of interest are greater than 2. It demonstrates how to select the appropriate test, how to arrange the data and perform the test in MINITAB, and how to interpret the results. Contingency tables and chi-square tests are among the most simple hypothesis tests. However, they ......
 

The Failure Modes and Effects Analysis, or FMEA, identifies key errors, assigns severity, determines occurrence, and identifies the ease of detection of those errors. In this module, students will learn to use the risk assessment tool to identify critical "failure modes," potential issues can be prioritized and resolved....
 

This module introduces the concept of statistical hypothesis testing, defines the null and alternate hypotheses, provides a general method for constructing a hypothesis test, and demonstrates how to use MINITAB for hypothesis testing....
 

Using Hypothesis Testing, practitioners learn how to prove and disprove theories, leading to more sound and statistically-based decisions....
 

This course reviews the ways of quantifying the statistical uncertainty of sampling. It describes how to use sample statistics to calculate and interpret confidence intervals for the population mean, the population standard deviation and the population proportion. Confidence Intervals is recommended to anyone who is involved in data analysis activities....
 

This course describes how to build and analyze a cause and effect matrix, or “C&E Matrix.�The C&E matrix links the critical-to-quality aspects of a process to the previously identified causes and effects. It is a very useful tool for prioritizing the factors that have the highest impact on customer satisfaction, and choosing the correct factors that require further measurement....
 

This module introduces the Fishbone Diagram, its purpose, and its application. It also explains how to construct a Fishbone Diagram....
 

This module provides a thorough understanding of what it means to perform a capability analysis and the benefits that can be gained from quantifying the capability of a process. It covers several concepts such as short-term vs. long-term capability, various capability metrics, and a four step process for calculating capability for attribute and variable performance characteristics....
 

This module provides a thorough understanding of what it means to perform a capability analysis and the benefits that can be gained from quantifying the capability of a process. It covers several concepts such as short-term vs. long-term capability, various capability metrics, and a four-step process for calculating capability for both attribute and variable performance characteristics....
 

This module introduces Variable Repeatability & Reproducibility measurement systems and the related concepts of Accuracy, Resolution and Precision....
 

This module provides an overview of Variable Repeatability & Reproducibility concepts. The Variable R&R tool is used when operators are measuring continuous or variable data such as time, height, weight, and pressure. These studies are used to prove whether an individual can repeat the same measurement process, and if a different individual will be able reproduce the same measurement process. V......
 

This module introduces Attribute Repeatability & Reproducibility, and explains how to assess the capability of a measurement system and why this task is critical to measurement success....
 

This module demonstrates Attribute Repeatability & Reproducibility by looking at the different types of measurement systems available, by illustrating how to execute an Attribute R&R, and by actually applying an Attribute R&R to a process....
 

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