The Path to Utilizing Quality Data Vol. 6
A panoramic data perspective realized with i-Board! In the initial stage, you can quickly focus on the lines or processes with the most issues.
This is a continuation of the previous Vol. 5 "Data Structures Suitable for Agile Manufacturing." In quality control, when a defect occurs in a specific inspection item, it is not enough to focus solely on the single data point where the defect occurred. As mentioned previously, it is also important to check the data with attention to points such as: - "Does it affect other products manufactured using the same equipment?" - "Are there any impacts on parts manufactured in the time period before and after the occurrence of the out-of-tolerance?" - "Could the change in the inspection jig, rather than the product itself, be influencing the results?" To maintain stable quality, it is insufficient to merely identify the "point" of non-conforming data. It is necessary to adopt a broader perspective and capture the data as "lines" or "surfaces" by examining the data of other parts manufactured with the same equipment or parts produced during the same time period from different angles. *For detailed content of the column, you can view it through the related links. For more information, please feel free to contact us.*
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We specialize in the collection, analysis, and utilization of quality and process data. Our goal is not merely to provide mathematical interpretations of data, but to help you turn data into actionable insights. With deep expertise in inspection equipment, machine tools, and industrial machinery, Process Artz supports you in building structured process data systems that enhance both product quality and manufacturing efficiency.