| Basic Statistics and Graphical Methods for Six Sigma - 2 hoursOrganizations 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 inferences about the larger population based on their sample data, and can test the statistical validity of their inferences. Thus, basic statistics can provide an organization with a view of its performance in graphical format, and the tools for reaching valid conclusions regarding its processes and products. This course provides Black Belts with basic statistical tools for describing, presenting, and analyzing sample and
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Course Bundle: Six Sigma Black Belt (2007 BOK): Measure - 12.0 hours- "Process Characteristics for Six Sigma" - 2.0 hours Item oper-15-a01-bs-enus
- "Data Collection and Measurement in Six Sigma" - 2.0 hours Item oper-15-a02-bs-enus
- "Six Sigma Measurement Systems" - 2.0 hours Item oper-15-a03-bs-enus
- "Basic Statistics and Graphical Methods for Six Sigma" - 2.0 hours Item oper-15-a04-bs-enus
- "Probability for Six Sigma" - 2.0 hours Item oper-15-a05-bs-enus
- "Process Capability for Six Sigma" - 2.0 hours Item No.oper-15-a06-bs-enus
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| Data Collection and Measurement in Six Sigma - 2 hoursAn 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 dependable analyses that translate into desired process improvements. As Six Sigma team leaders, Black Belts will help to oversee careful data collection efforts during the Measure phase of the Six Sigma DMAIC process. They will determine what should be measured, how data should be collected, and what tools can be employed to gather data as the basis for further improvements. This course prepares Black Belts for succe
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| Probability for Six Sigma - 2.0 hoursOrganizations need to make inferences about a population from sample data, and understanding how to calculate the probability that an event will occur is crucial to making those inferences. In a Six Sigma context, it is often important to calculate the likelihood that a combination of events or that an ordered combination of events will occur. Understanding probabilities can provide Black Belts with the tools to make predictions about events or event combinations. To make accurate inferences about a population from the sample data collected in the Measure stage, Black Belts must also be familiar with the characteristics of various probability distributions, and their suitability for different types of data. Understanding the behavior of probability distributions allows the Black Belts to find the probability that values will be found within a given range, and thus to provide information on the variation in the organization's processes and products. This course provides Black Belts with
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| Process Capability for Six Sigma - 2.0 hoursIn any improvement initiative, organizations must determine whether their existing processes meet the targets and specifications demanded by the business, or by the customer. Measuring and analyzing the capability and performance of a process under review enables organizations to numerically represent and interpret its current state, and to report its sigma level. When done correctly, process capability analyses enable Black Belts to precisely assess current performance in light of future goals, and ultimately, to determine the need and targets of process improvement. Process capabilities can be determined for normal and non-normal data, and for variable (continuous) and attribute (discrete) data alike. This course explores the considerations, verifications, and associated calculations used to conduct process capability studies, from choosing parameters and verifying the stability and normality of a given process, to gathering and interpreting capability and performance data using comm
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| Process Characteristics for Six Sigma - 1.5 hoursTo improve the processes behind an organization's products and services, a Six Sigma Black Belt must measure them. But first, they must identify those processes. Among the many Six Sigma tools, several are designed specifically to isolate relevant process variables, determine their relationships to each other, prioritize their importance relative to customer or business requirements, and assess their efficiency. Using SIPOC and cause-and-effect matrices, Black Belts can determine which process inputs to target first – those with the most significant impact on important outputs. Using process efficiency formulas, they can determine the ratio of value-added time to total lead time, then enhance this ratio by reducing that troublesome drag on lead time – work in process. With metrics established, Black Belts can recommend approaches involving takt time, one-piece flow, and pull to balance the flow of processes, eliminating the inefficiencies of work in process, cutting overhead budgets, a
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| Six Sigma Measurement Systems - 2.0 hoursSix Sigma measurement systems are vital to improving an organization's processes. Measurement systems encompass the conditions, devices, and the human element of measurement, which together must produce correct measurements and comply with appropriate standards. Measurement error, or measurement variability, is a problem whose components must be thoroughly understood and kept in check to maintain the effectiveness of any measurement system. Measurement variability contributes to the overall variability in the process and it is important to understand its sources and minimize it. Black Belts can calculate correlation, bias, linearity, stability, reproducibility, and repeatability to analyze and further improve measurement systems. This course examines how to analyze a measurement system to help it produce correct measurements and minimize its proportion of variability in the overall variability. It introduces key elements of metrology and international systems of measurement, explores t
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