The histogram represents frequency distribution of data clearly and concisely amongst different groups of a sample, allowing you to quickly and easily identify areas of improvement within your processes. This is where quality control tools like the histogram come into play. Quality professionals are often tasked with analyzing and interpreting the behavior of different groups of data in an effort to manage quality. Make sure to set up your data collection so that that information is included. To get the most out of the stratification process, consider which information about your data’s sources may affect the end results of your data analysis.
Whether you’re looking at equipment, products, shifts, materials, or even days of the week, stratification analysis lets you make sense of your data before, during, and after its collection. Separating your data using stratification can help you determine its meaning, revealing patterns that might not otherwise be visible when it’s been lumped together. Stratification analysis is a quality assurance tool used to sort data, objects, and people into separate and distinct groups. They’re frequently implemented in conjunction with today’s most widely used process improvement methodologies, including various phases of Six Sigma, TQM, continuous improvement processes, and Lean management. Today, these quality management tools are still considered the gold standard for troubleshooting a variety of quality issues. Companies found that simplifying the training to user-friendly fundamentals-or seven quality tools-ensured better performance at scale This made it difficult to standardize effective quality control across operations. Kaoru Ishikawa, a Japanese professor of engineering, originally developed the seven quality tools (sometimes called the 7 QC tools) in the 1950s to help workers of various technical backgrounds implement effective quality control measures.Īt the time, training programs in statistical quality control were complex and intimidating to workers with non-technical backgrounds. Learn about these quality management tools and find templates to start using them quickly. With these basic quality tools in your arsenal, you can easily manage the quality of your product or process, no matter what industry you serve.
These fundamentals are called the seven basic tools of quality. Thankfully, engineers have discovered that most quality control problems can be solved by following a few key fundamentals. The ability to identify and resolve quality-related issues quickly and efficiently is essential to anyone working in quality assurance or process improvement. But statistical quality control can quickly get complex and unwieldy for the average person, making training and quality assurance more difficult to scale.
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