This course, titled "The Measure Phase for the 6 σ Black Belt," is the fourth of eight in a specialization that focuses on the Measure Phase of Six Sigma. It is designed for professionals seeking to deepen their understanding of Lean Sigma, the DMAIC process, and DFSS. The course is particularly suitable for individuals with some background in statistics and a keen interest in spearheading continuous improvement within their organizations.
The course is offered by the University System of Georgia and entails a method of assessment that includes both formative and summative quizzes, as well as a multi-part peer-reviewed project completion regimen. It covers a range of topics, from process characteristics and data collection to probability, distributions, and process capability.
Upon completion of this course, learners will have gained a comprehensive understanding of the principles and tools essential for implementing Six Sigma methodologies and driving organizational improvement.
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This course comprises eight modules that cover process characteristics, data collection, measurement systems, basic statistics, probability, distributions, and process capability, culminating in a summative project completion segment.
The first module, "Process Characteristics," delves into Lean terminology, creating value, the value stream map, and other common process analysis tools. Learners will also engage in formative and summative quizzes to reinforce their understanding of the concepts covered in this module.
The second module, "Data Collection," explores types of data, measurement scales, sampling methods, and the sampling plan. Learners will have the opportunity to assess their knowledge through mid-formative and terminal formative quizzes.
Module three, "Measurement Systems," covers metrology, measurement error, measurement system parameters, and measurement variation. It also includes mid-formative and terminal formative quizzes to evaluate learners' comprehension.
The fourth module, "Basic Statistics," introduces statistics terminology, measures of central tendency, dispersion, position, and graphical methods, as well as statistical inference. Learners will engage in mid-formative and terminal formative quizzes as part of their assessment.
Module five, "Probability," focuses on probability terminology, event relationships and operations, and common probability rules. Learners will have the opportunity to test their understanding through a formative quiz.
The sixth module, "Distributions," delves into probability distributions, discrete distributions, continuous distributions, and other common distributions. It includes mid-formative and terminal formative quizzes for assessment purposes.
Module seven, "Process Capability," covers understanding process capability, quantifying process capability, coping with non-normal data, and process performance metrics. Learners will partake in mid-formative and terminal formative quizzes to reinforce their learning.
The final module, "Course 4 Summative Deliverables," culminates in a comprehensive project completion segment that allows learners to apply the knowledge and skills acquired throughout the course.
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