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  6. [Data Science Utilization Case] Improvement and Automation of Inspection Processes 1

[Data Science Utilization Case] Improvement and Automation of Inspection Processes 1

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last updated:Sep 29, 2023

TDSE
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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 omit or simplify 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 that lead to errors, which allowed us to simplify or omit the relevant inspection items. 【Case Overview】 ■Industry: Manufacturing ■Business: Quality Inspection ■Challenges: 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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[Data Science Utilization Case] Improvement and Automation of Inspection Processes 1

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  • Related Link - https://www.tdse.jp/case-study/inspection-process-…

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**Effects** - It was found that the current available data does not allow for the identification of the processes and causes where anomalies occur. - Insights were gained on what level of granularity should be used for data analysis 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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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.

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