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Overview/Description An organization's success depends upon how it delivers on its processes. Before Black Belts can begin to improve an organization's processes, they must measure those processes with the appropriate data. The crucial steps of data collection and measurement precede process improvement in any Six Sigma initiative. Successful data collection starts with careful planning; a knowledge of various data types, sampling strategies, and measurement methods; and an ongoing awareness of best practices for ensuring data accuracy and integrity. Only reliable and suitable data will yield...
Overview/Description Design for Six Sigma (DFSS) is often called the future of Six Sigma, as it is emerging as a strategy that better serves the current innovation initiatives of many industries. DFSS uses a "pay me now or pay me later" approach by spending more effort and time on process or product design up front to avoid spending time and effort in those areas later. Whereas Six Sigma just focuses on improving existing designs at a later stage, DFSS focuses on creating new and better products and processes from scratch. It designs virtually error-free products and services from the very...
Overview/Description "We are, I think, in the right road of improvement, for we are making experiments," said Benjamin Franklin. In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and changing the input variables and observing the effects on the response variable(s). After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas to optimize the response, and then the ideas are...
Overview/Description Six Sigma teams concluding the Analyze phase with a well-understood problem strive in the Improve phase to generate a well-designed solution. Design of experiments (DOE) is a controlled approach to experimentation that enables teams to systematically change the level of one or more input factors and observe the effects on the targeted response. If teams exercise care in choosing the right design – including suitable factors, levels, and responses – their experiments can reveal the precise combination of factors that will optimize the response. Later, that combination...
Overview/Description Successful organizations are founded on effectively developing and deploying strategic plans. Organizations must identify their primary goals and objectives based on their mission and vision statements. Other success factors include understanding market forces, internal strengths and weaknesses, stakeholders, relevant technology, and legal and regulatory factors. With these considerations, an organization's action plan can be developed and deployed, and its effectiveness evaluated. This course explores the concepts of strategic planning models, business environmental...
Overview/Description A project charter is the most important document used to initiate and manage a Six Sigma project, and it is treated as an informal contract between an organization and the Six Sigma team. The project charter articulates the problem that the Six Sigma team is going to work on, and the project's scope, goals, and objectives in very clear, specific, and measurable terms. As part of the process of developing a project charter, some performance measures such as cost, revenue, and schedule are identified and developed. Once the project is kicked off, its progress is measured...
Overview/Description In the Analyze stage of the Six Sigma DMAIC process, you closely examine the output variable (known as y) and its possible causes or input variables (known as x's) collected in the Measure stage to get a deeper understanding of their relationships. The goal of this analysis is to narrow down the many possible x's identified earlier during the Measure stage, to a few probable ones. This analysis is generally conducted through the use of two important toolsets: exploratory data analysis and hypothesis testing. Methods and tools used in these broad toolsets help to identify...
Overview/Description Forming an effective Six Sigma team for driving improvement projects throughout an organization is essential to Six Sigma success. Six Sigma teams are vital to improving an organization's existing quality to enhance bottom-line performance while reducing costs. The methods used to form and develop a Six Sigma team will have a dramatic effect on the team's overall performance. Black Belts need to proactively contribute to the effectiveness of Six Sigma teams to promote positive organizational change. This course explores the variety of team types, roles, and composition,...
Overview/Description In the Analyze phase of the DMAIC methodology, Six Sigma teams analyze the underlying causes of issues that need to be addressed for the successful completion of their improvement projects. To that end, teams conduct a number of statistical analyses to determine the nature of variables and their interrelationships in the process under study. It is rarely possible to study and analyze the full scope of population data pertaining to all processes, products, or services, so Six Sigma teams typically collect samples of the population data to be analyzed, and based on that...
Overview/Description The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random chance or if it is a true difference. If it is a real difference, Six Sigma teams like to determine if it has practical significance. The goal of this course is to explore...

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