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Voice of the Customer in Six Sigma

Overview/Description A high quality process that follows Six Sigma standards will create and deliver goods and services that meet and exceed customer requirements and expectations, This requires you to collect the Voice of the Customer (VOC) and translate that to product features, performance measures, or opportunities for improvement. You need a seamless process of identifying customers, collecting customer data, identifying customer requirements, and finally translating requirements into measures that are easy to understand and follow for employees who are responsible for processes,...

Basics of Six Sigma Project Management

Overview/Description Effective management of a Six Sigma project is critical to delivering expected organizational results. It requires a disciplined approach to managing schedules, costs, and deliverables. This course will examine the basic project management tools used in a successful Six Sigma project. You will learn how to create a project charter and how project scope and metrics are developed, and gain insight into the tools used to plan and implement a Six Sigma improvement initiative. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates...

Six Sigma Management and Planning Tools

Overview/Description In the early stages of a Six Sigma project, a set of management and planning tools are used to analyze and understand the quality and improvement issues at hand. Once this is done, the team measures current processes, analyzes them, and finds improvement solutions. In this course, you will learn about several management and planning tools that are used on Six Sigma projects. You will also be presented with some real-life examples of situations where these tools are best suited. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt...

Performance Metrics for Six Sigma

Overview/Description In the Define phase of Six Sigma DMAIC, teams identify improvement projects that have the maximum potential for return on time, money, and resource investments. For an accurate assessment of these opportunities, you need to have correct performance metrics and knowledge of where and how to use them. Later, during the Control phase, performance is assessed again using the same metrics to ensure improvements have been achieved. This course explores some of these metrics, such as defects per unit, defects per million opportunities, rolled throughput yield, process...

Six Sigma Project Team Dynamics and Performance

Overview/Description Six Sigma needs both effective leadership and management to deliver its promised results to an organization. Understanding team building processes, tools, and role structures helps Six Sigma team members produce desired results and resolve negative team dynamics. This course will examine Six Sigma team roles and responsibilities, tools for effective team management, and strategies for overcoming challenges. This course is aligned to the ASQ Body of Knowledge and designed to assist Green Belt candidates toward achieving their certifications and becoming productive members...

Process Documentation and Analysis in Six Sigma

Overview/Description During the Define stage of a Six Sigma project, the Six Sigma team identifies process areas that require analysis and improvement. During the Measure stage, the team maps the processes and procedures that were identified. As this mapping takes place, the team begins to uncover likely causes of the problems and analyze them fully. This course will examine key tools and techniques used to model and analyze existing processes. From a process modeling perspective, the course looks at techniques such as process mapping, written procedures, and work instructions. This course...

Basic Probability and Statistical Distributions in Six Sigma

Overview/Description To make accurate inferences about populations from sample data, you need to be able to determine the probability that an event or a combination of events will occur. You also need to be familiar with the characteristics of various statistical distributions, and their suitability for different types of data. In this course, you'll be introduced to the concept of probability. You'll learn how to calculate probability involving independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You'll also look at different types of...

Data Classification, Sampling, and Collection in Six Sigma

Overview/Description Before a Six Sigma team can begin to improve an organization's processes, it must measure key performance indicators. In doing so, the team identifies, collects, and analyzes data related to the processes. This course introduces basic types of data, such as continuous and discrete data, as well as various measurement scales. You will learn how to plan data collection and how to use data sampling techniques and data collection tools, such as check sheets. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving...

Statistics and Graphical Presentation in Six Sigma

Overview/Description Basic graphs and tables can be used to summarize and assess performance-related data in a meaningful way. Six Sigma practitioners use descriptive statistics to tabulate and graphically represent sample data through a number of informative charts and diagrams. Using analytical statistics, inferences are made about the larger population based on their sample data. These tools allow the organization to view its performance graphically and draw valid conclusions about its processes and products. This course provides basic statistical tools for describing, presenting, and...

Measurement System Analysis in Six Sigma

Overview/Description The adequacy and accuracy of measurement systems is vital to the success of any data collection and analysis, and therefore critical to the overall success of any Six Sigma initiatives in an organization. Measurement systems encompass devices, procedures, and the human element of measurement, which together must produce correct measurements and comply with appropriate standards. This course examines how to analyze a measurement system to help it produce correct measurements and minimize its proportion of variability in the overall process variability. It introduces key...

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