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Overview/Description
Organizations should regularly evaluate existing processes to make sure they meet targets and specifications set by their customer and business requirements. Measuring and analyzing process capability and performance enables an organization to report its sigma level and improvement teams to targets their efforts effectively. This course explores the key concepts related to process capability and performance, and the methods of measuring and interpreting common performance indices. It also discusses how to verify the stability and normality of a given process and identify...
Overview/Description
In the Analyze stage of the Six Sigma DMAIC process, project teams carefully analyze process output and input variables. The goal of this analysis is to narrow down the many possible inputs identified during the Measure stage. The analysis is carried out using tools that help identify a few probable root causes that are impacting process performance. This course introduces some key tools used for exploratory data analysis in Six Sigma, such as multi-vari studies, correlation analysis, and regression models. It also explains the correlation coefficient and its statistical...
Overview/Description
During the Analyze phase of a Six Sigma improvement project, the team conducts a number of statistical analyses to determine the nature of variables and their interrelationships in the process under study. Team members typically collect samples of the population data to be analyzed, and based on that sample data, they make hypotheses about the entire population. Because there is a lot at stake in forming the correct conclusions about the larger population, Six Sigma teams validate their inferences using hypothesis tests. This course introduces basic hypothesis testing...
Overview/Description
As a Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for improvement. It is here where assumptions or hypotheses about a process, product, or service are made and validated using tests based on sample data. This course will familiarize you with some of the advanced hypothesis tests used in Six Sigma, such as test for proportions, variances, and analysis of variance (ANOVA). You will learn how to use Paired-comparison t-test and chi-square tests for validating hypotheses. This course is...
Overview/Description
In the Improve stage of Six Sigma DMAIC, 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 their relationships. After determining what and how much needs to be changed to gain the desired improvement, teams generate solution ideas. This course surveys the concepts that are fundamental to the Design of Experiments methodology, including the basic...
Overview/Description
Getting to the source of why something has gone wrong in a system or process is critical to identifying the changes necessary for resolving the problem. During the Improve phase of a Six Sigma project, team members use a variety of nonstatistical methods and Lean tools to analyze systems and processes, looking for ways to reduce costs and eliminate waste. These tools help identify root causes and possible solutions. This course explores how to use various tools for conducting root cause analysis and reducing waste, such as fishbone diagrams, relational matrices, the 5...
Overview/Description
During the Improve stage of a project, the Six Sigma team uses tools to address the causes of problems in the process. Cycle time reduction and continuous improvement tools are popular choices to address many of these problems. Reducing cycle time brings products to the market faster and improves delivery time and overall customer satisfaction. A timely and productive application of kaizen - or continuous improvement - allows an organization to eliminate waste, streamline processes, reduce costs, and create a Lean culture in the organization. This course looks at some of...
Overview/Description
Ensuring a process is in control and it's behaving in the manner it was intended to is critical to any Six Sigma improvement initiative. In the Control phase of a Six Sigma DMAIC project, teams need to control the improved processes in order to sustain continuous gains. Process control involves applying tools to monitor and maintain each improved process, and to prevent it from reverting to its previous state. By applying statistical process control, you can identify out of control processes, reasons for noncompliance, and take actions to address the situation. This...
Overview/Description
Having analyzed and improved your processes to the desired level in a Six Sigma DMAIC project, you need to monitor and control them over an extended period of time. SPC tools such as control charts are used to determine if the process is stable. This course teaches methods for identifying, selecting, creating, and interpreting control charts for variables and attributes data. The course also explains how you can recognize when a process has become unstable and is out of control. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt...
Overview/Description
In the final stages of a Six Sigma project, teams need to control the improved process in order to sustain the improvements. Process control involves applying tools to continuously monitor and maintain each improved process, and to prevent it from reverting to its previous state. Two tools from the Lean toolset specifically help here. Total Productive Maintenance (TPM) is a proactive equipment maintenance program that seeks to engage employees at all levels and functions in an organization to maximize the overall effectiveness of existing processes and equipment. The...
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