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Basic Statistics and Graphical Methods for Six Sigma

Overview/Description Organizations must ensure that their processes and products are extremely consistent, as variations can lead to rejected orders, lower revenues, and eventually, financial disaster. Basic statistics can provide Black Belts with the tools to summarize and assess collected data in a meaningful way. Black Belts can use descriptive (enumerative) statistics to tabulate and graphically represent sample data through a number of informative charts and diagrams. Using analytical (inferential) statistics, supported by the central limit theorem, Black Belts can confidently make...

Basics of Six Sigma Projects and Teams

Overview/Description "Effective leadership is putting first things first. Effective management is discipline, carrying it out," says famous motivator and author, Stephen R. Covey. Six Sigma needs both effective leadership and management to deliver its promised results to an organization. It requires all Six Sigma leaders – Master Black Belts, Black Belts, and Green Belts – to effectively lead project teams to deliver their expected results. Understanding team building processes, tools, and role structures helps Six Sigma team members produce desired results and resolve negative team...

Business Performance and Financial Measures in Six Sigma

Overview/Description Six Sigma improvement begins with assessing the current performance of an organization's processes and products, and comparing it with the desired performance. An important part of this assessment is choosing a set of measures that will provide a comprehensive picture of how the company is achieving its goals of customer satisfaction, organizational learning and improvement, internal process performance, and bottom-line financial growth. This course examines business measures in two categories: business performance measures and purely financial measures, exploring how...

Common Design for Six Sigma Methodologies, Design for X, and Robust Design

Overview/Description Design for Six Sigma (DFSS) is the methodology associated with the design of a process, product, or service, which results in Six Sigma output that satisfies both the external customer and internal business requirements. DFSS is an innovative strategy for the design or redesign of a process, product, or service from the ground up. This course examines several of the common methodologies utilized in Design for Six Sigma (DFSS), beginning with the two common counterparts to the DMAIC methodology: DMADV and DMADOV. Design for X is emerging as an important knowledge-based...

Communication Skills and Project Management

Overview/Description An essential element of management is the ability to effectively communicate with people. The capacity to successfully communicate in today's global economy is a pivotal element to the success of any organization. Managers need to be aware of emerging technologies and how these affect international communication. To meet an improvement project's specified goals and objectives, a manager must also effectively plan, estimate, and monitor the progress of the project and know what tools to apply. This course explores how communication takes place, and presents techniques...

Conducting Experiments and Analyzing Results in Six Sigma

Overview/Description Six Sigma teams design and conduct experiments to investigate the relationships between input variables and response variables. By controlling and changing the input variables and observing the effects on the response variables, a Six Sigma team gains a deep understanding of these relationships. After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas based on the best combination of input variables' settings to optimize the response, and then the ideas are tested, implemented, and validated. Later in the...

Correlation and Regression Analysis in Six Sigma

Overview/Description As a Six Sigma team moves into the Analyze stage of the DMAIC process, it looks more closely at the variables and variable interrelationships identified during the Measure stage. As part of the analysis, a scatter diagram of dependent and independent variables is drawn to visualize the form, strength, and direction of their relationships. By determining their correlation coefficient, a linear relationship can be quantified and identified as positive, negative, or neutral. Then, using regression analysis, a model is developed to describe the relationship as a linear...

Critical Requirements and Benchmarking for Six Sigma

Overview/Description The success of Six Sigma deployment in an organization largely depends on the success of individual Six Sigma projects. Organizational stakeholders, including customers, suppliers, and employees, have a strong influence on the implementation of Six Sigma projects. In turn, these projects impact the organizational stakeholders by throwing many opportunities and challenges before them. It is imperative that Six Sigma leaders determine the critical quality, cost, process, and delivery requirements from customers and the organization, and then align projects with these...

Customer-Focused Management

Overview/Description Sam Walton, founder of Wal-Mart, is reputed to have said, "There is only one boss – the customer. And he can fire everybody in the company – from the chairman on down – simply by spending his money somewhere else." Effective quality management processes focus on the customer. In today's global marketplace, customers have more choices than ever before. To achieve success, it is vital for enterprises to accurately identify the wants, needs, and expectations of their customers. This course explores the relationship between the treatment of internal customers and the...

Data Classification and Collection in Six Sigma

Overview/Description "Measure what is measurable, and make measurable what is not so" said Galileo Galilei, the famous Italian physicist, mathematician, astronomer, and philosopher. Measuring the key characteristics in your current processes is a very significant step in any Six Sigma improvement journey. As such, sample data from existing processes needs to be identified, collected, presented, and analyzed. Collecting data that is correct and useful is one of the first steps in the measurement process. Various types of data exist, and they all need appropriate treatment during the collection...

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