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The Quality Tools topic will provide the participant with an array of classical quality improvement methods and diagnostic tools commonly associated with such initiatives as Six Sigma, Lean Sigma, TQM, 8D and other fine process improvement programs. Specifically, the participant will learn how to establish basic cause-and-effect relationships, solve on-going operational problems and discover how to enhance or otherwise improve daily operations.
Furthermore, the participant will learn how data can be collected and graphically analyzed to track down unwanted sources of product and process variation; thereby, reducing product defects, process cycle time and operational costs. These time-proven methods and tools can serve as the backbone for virtually any type of quality improvement effort. Naturally, the tools and methods presented in this course can serve as an excellent entry point for a Six Sigma X-Belt program or be linked to other initiatives such as lean manufacturing to form a Lean Sigma initiative. Such an integrated approach can often represent a viable alternative for a commercial enterprise or small business that is dedicated to increasing customer satisfaction and business performance.
Reinforcement of major concepts, techniques, and application is realized through exercises, scenarios, and case studies. By way of this training, the participant will gain tremendous insight into the logic and reasoning which underlies Six Sigma and the process of breakthrough improvement. Total instructional time for this topic is 13 hours and 13 minutes.
- Variable Classifications - Define the various types of variables commonly encountered during quality improvement
- Measurement Scales - Describe each of the four primary scales of measure and their relative power
- Problem Definition - Characterize the nature of a sound problem statement
- Focused Brainstorming - Explain how focused brainstorming is used to facilitate improvement efforts
- Process Mapping - Understand how to define the flow of a process and map its operations
- SIPOC Diagram - Describe the nature and purpose of an SIPOC diagram
- Force-Field Analysis - Utilize force field analysis to solve problems
- Matrix Analysis - Understand how matrices are created and used to facilitate problem solving
- C&E Analysis - Explain how C&E matrices can be used to solve quality problems
- Failure Mode Analysis - Understand how FMEA is used to realize process and design improvements
- Performance Sampling - Explain how to design and implement a sampling plan
- Check Sheets - Understand how check sheets can be used for purposes of data collection
- Analytical Charts - Identify the general range of analytical charts that can be used to assess performance
- Pareto Charts - Explain how Pareto charts can be used to isolate improvement leverage
- Run Charts - Utilize run charts to assess and characterize time-based process data
- Multi-Vari Charts - Define the major families of variation and how they can be graphed
- Correlation Charts - Utilize a correlation chart to illustrate the association between two variables
- Frequency Tables - Explain how to construct and interpret a frequency table
- Performance Histograms - Construct and interpret a histogram and describe several purposes
- Basic Probability - Understand basic probability theory and how it relates to process improvement
- Pre-Control Charts - Describe the fundamental rules that guide the operation of a standard pre-control plan
- Control Charts - Explain the purpose of statistical process control charts and the logic of their operation
- Score Cards - Understand the purpose of Six Sigma score cards and how they are deployed
- Search Patterns - Explain how the use of designed experiments can facilitate problem solving
- Concept Integration - Understand how to sequence a given selection of quality tools to better solve problems
- Quality Simulation - Employ the related quality tools to analyze data generated by the process simulator