Posted January 24, 2023

Course Description The control plan is one of the most important documents used to maintain the gains made during the analysis and improve portions of a Six Sigma project. The control plan is a living document that is continually updated to capture continuing improvements. By the end of this course, you will be able to […]

Posted January 24, 2023

Course Description Improvements to a process are almost always needed to meet the goals of an organization. Many Six Sigma tools can be used to implement and validate the improvements. By the end of this course, you will be able to List the steps to improve a process Identify Six Sigma tools used to improve […]

Posted January 24, 2023

Course Description Statistical Process Control, or SPC, is a quality control methodology that uses statistics to predict variation in processes. SPC is the basis for the control portion of a Six Sigma project. By the end of this course, you will be able to Define statistical process control Define and describe the objectives and benefits […]

Posted January 24, 2023

Course Description Properly designed experiments are essential to improving a Six Sigma project and making the project successful. By the end of this course, you will be able to Define terms associated with the design of experiments Interpret main effects of a factor Interpret interaction plots   Estimated completion time (hours): 1.3

Posted January 24, 2023

Course Description Six Sigma teams must understand the difference between the types of hypotheses tests to determine the proper test for the problem. Selection of the proper test is determined by the statistical parameter to be tested and the available information from the sample data. By the end of this course, you will be able […]

Posted January 24, 2023

Course Description Hypotheses tests are statistical methods of making decisions on the results of a study to determine if the results are truly related, or if they occur by chance. Hypotheses tests differ in the results they produce and what information is required, but they all share some basic terms and concepts. By the end […]

Posted January 24, 2023

Course Description Before any problem can be eliminated or controlled, the cause of the problem must be identified and confirmed. Six Sigma teams use statistical tools to perform an analysis of data to identify and confirm the variable that causes most variation in a process or product. By the end of this course, you will […]

Posted January 24, 2023

Course Description A main goal of a Six Sigma project is to reduce variation in a process. To meet this goal, the Six Sigma team must know the capability and performance of the process before and after improvements are implemented. By the end of this course, you will be able to Describe the process of […]

Posted January 24, 2023

Course Description Data often consists of measurements of characteristics or conditions. A measurement system analysis is necessary to identify measurement variation and distinguish between measurement and process variation. By the end of this course, you will be able to Define measurement system analysis Identify and conduct gauge repeatability and reproducibility studies Define measurement terms including […]

Posted January 24, 2023

Course Description To improve a process or product it is important to know its current status and its status after improvements are made. Valid data must be collected and summarized to verify the status of the process or product. By the end of this course, you will be able to Identify continuous or variable data […]