8/22/2023 0 Comments Kypass 3 entry big red xFrequently Asked Questions (FAQ) about Red X 1. This requires you to do a MSA study to validate your data. You must have confidence in the quality of the data captured by your measurement system. It is the identification, analysis and quick zooming in on the root cause. The Red X approach is very diagnostic in nature. You must have a deep understanding of the Y and the problem. Here are a few tips on using Red X in your organization. DOE was used as the primary tool along with:ģ best practices when thinking about Red X Shainin Red X techniques were used to reduce the percentage of reworks from 0.15% to 0.03%. If blow holes are seen on the battery post, then the battery is rejected. The post burner is an automatic burning machine designed to weld the cylindrical bushing of an automotive battery to a specified depth of burn. The problem was Post Burning Blow Holes on automotive batteries. Shainin Red X FACTUAL approach to problem-solving An industry example of Red X Instead of the DMAIC methodology of Define-Measure-Analyze-Improve-Control, the Red X approach uses the following structure, called FACTUAL: Shainin defines the desired state of the output as the GreenY®. These inputs (Xs) are categorized by color, with the Red X being the dominant root cause. Generally, the variation of the output is caused by the variation of several inputs. This statement is based on the application of the Pareto principle to the causes of the variation. The Red X method is based on the key assumption there is always a dominant cause of variation. In this article, we will define the Red X process, best practices, and how it can be applied to your organization. The fundamental premise of the Shainin Red X® process is that for any problem, there is a dominant root cause that must be eliminated or mitigated for the process to be improved.
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