Seven Quality Tools
Explains the purpose of 7 quality tools used in many situations to analyze and interpret data. Seven quality tools are needed to identify business process improvements, and understand the information contained in the data. Seven quality tools are: flow charts, cause and effect diagrams, check sheets, pareto diagrams, histograms, scatter diagrams, and run charts.
Statistical Data Analysis
This module covers the process of determining sample size, collecting data from a sample, and interpreting the data from a statistical standpoint. Sampling strategies are required for process understanding and characterization. Confidence intervals are required to understand how a data subset may or may not reflect the population from which it was drawn. These interpretations can then be used to make decisions on how to improve a business process.
Defect and Yield Analysis
Defines the calculation and understanding of key process failures in terms of Six Sigma measures (e.g. DPMO, sigma level). Relationships among these measures are also explained. Data collection and analysis is used to understand current process performance and set realistic goals for improvement that ultimately will lead to Six Sigma performance.
Process Reliability Improvement
Is your process capable of delivering the required output (quality and quantity) consistently over time? This module will provide the answer as well as define measures of reliability, explain the impact of multiple components on system reliability, and define an improvement methodology.
Control Charts - Defining, Creating, and Taking Action
Key process parameter data are captured and plotted to understand common cause from special cause variation. Constructing control charts and then interpreting the resulting plots are explained so appropriate action can be taken to improve process output and consistency.
Process Capability Analysis
How capable is your process relative to what your customers want? How consistent is your process in delivering against those customer requirements? Process capability analysis is required to answer these questions and determine what course of action should be taken to create a more robust process.