Identify and improve the factors causing errors! Examples of simplification and omission of relevant inspection items.
We will introduce examples of improvements and automation in the inspection process within the manufacturing industry. There was a challenge to reduce the frequency of inspection errors by discovering and improving the factors in the manufacturing process that lead to inspection errors for electronic components, as well as to simplify or omit inspection items to enhance production efficiency. To address this, we modeled the relationship between the error occurrence rate for each inspection item and the measured and controlled values of the manufacturing process, identifying and improving the factors leading to errors, which allowed us to simplify or omit the relevant inspection items. [Case Overview] ■ Industry: Manufacturing ■ Business: Quality Inspection ■ Challenge: Improving inspection efficiency, enhancing quality, factor analysis ■ Analytics and AI Solutions - Modeling the relationship between error occurrence rates and the measured and controlled values of the manufacturing process - Identifying and improving the factors leading to errors, simplifying or omitting the relevant inspection items *For more details, please refer to the PDF document or feel free to contact us.
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**Effect** - It was found that the current available data does not allow for the identification of the processes or causes where anomalies occur. - Insights were gained on what level of granularity data analysis should be conducted and what data should be collected in the future. *For more details, please refer to the PDF document or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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