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Overview/Description Probability distributions are an essential part of descriptive statistics that Six Sigma teams can use to assist in fitting collected data into various types of distributions. Probability distributions help to ascertain specific probability values in the distribution and lead the Six Sigma teams down the hypothesis testing roadmap to the next stage of the Six Sigma DMAIC process. Of course, all this is meaningless if the data you have gathered and used is not accurate or precise, which is where measurement systems analysis (MSA) comes into play. MSA is a task in the...
Overview/Description A process is a means of creating and delivering products and services needed by customers. According to Takashi Osada, Japanese author and quality pioneer, "if the process is right, the results will take care of themselves." By Six Sigma standards, a "right process" is one that creates and delivers precisely what the customer needs. By this logic, no Six Sigma effort can start without having a high-level picture of an organization's customers and other stakeholders, their needs, and the business processes meant to fulfill those needs. A thorough analysis of the existing...
Overview/Description Six Sigma is a highly disciplined, data-driven improvement program that helps companies focus on eliminating defects in any process and delivering near-perfect products and services. Six Sigma has been globally accepted as a profitable and winning business strategy. More and more companies are embracing Six Sigma in a time when competition and sluggish markets have left operational efficiency and quality improvement as the only way to protect margins and win customer loyalty. Originally developed in Toyota's manufacturing operations, Lean is a continuous improvement...
Overview/Description In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold...
Overview/Description Six Sigma bases its analysis and findings on the facts and figures at hand. Statistical studies and probability are the key tools that Six Sigma teams use to measure and analyze issues that are identified in the early stages of Six Sigma projects. This course explores basic statistical concepts that apply to Six Sigma. It distinguishes between enumerative and analytical statistics and population and sample characteristics, and describes the Central Limit Theorem. It also examines basic probability concepts and looks at dependent, independent, and mutually exclusive...
Overview/Description Six Sigma teams use measures of central tendency and dispersion to reveal key facts about process data and the existing processes. They summarize data and put forth the relationships between various data components for further analysis. The teams then present these relationships in easy-to-understand graphical forms that facilitate comparison and help to identify possible trends. This course deals with the basic concepts of descriptive statistics, such as measures of central tendency and dispersion, and their significance in Six Sigma data analysis. The course also shows...
Overview/Description To test your knowledge on the skills and competencies being measured by the vendor certification exam. TestPrep can be taken in either Study or Certification mode. Study mode is designed to maximize learning by not only testing your knowledge of the material, but also by providing additional information on the topics presented. Certification mode is designed to test your knowledge of the material within a structured testing environment, providing valuable feedback at the end of the test. Target Audience Individuals seeking practice in a structured testing environment,...
Overview/Description In many situations your results are only as good as the tools you use. Knowing which tools to use, and how to apply them effectively, is the key to any endeavor's success. This assertion holds true for process and quality improvement strategies, and Six Sigma and quality improvement teams throughout the world use a set of management and planning tools to analyze and understand a variety of issues. This course will examine the tools used in Six Sigma to help organizations make decisions and plan and communicate findings. These tools include affinity diagrams,...
Overview/Description In a Six Sigma DMAIC project, once you've measured your current processes, analyzed the gaps and causes of problems, and improved processes to the desired level, you need to monitor and control them over an extended period of time. The process may show variation, and control charts are used to determine if the variation is natural to the process or if there is another reason for the discrepancy. Control charts can also be used in other stages of Six Sigma – to examine how a process is performing over time and also to identify and analyze any special cause variations....
Overview/Description Six Sigma is a business improvement methodology that begins by comparing the current state of a company's products and processes to their desired levels. The goal of the Define phase in the Six Sigma DMAIC methodology is to identify improvement opportunities that have the maximum potential for return on time, money, and resource investments. Knowing what projects to select for improvement requires an assessment and analysis of existing business processes. For a precise, objective, and accurate assessment of the existing processes, you need to have correct metrics and...

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