Utilizing DataRobot! A case of reducing response labor during maintenance inspections and when abnormalities occur.
Utilizing DataRobot! A case study on reducing response labor during maintenance inspections and when abnormalities occur. We present a case where quality improvement in equipment maintenance was achieved in the manufacturing industry. The company faced the challenge of wanting to know whether installed parts were constructed according to recommended installation conditions, and if they differed from those conditions, where the abnormal areas were located. By using DataRobot, a model was developed to infer the abnormal areas based on sensor data regarding the installation status of the parts. This resulted in a reduction in response labor during maintenance inspections and when abnormalities occurred. 【Case Overview】 ■ Industry: Manufacturing ■ Business: Equipment Maintenance ■ Challenge: AutoML tools, factor analysis ■ Analytics & AI Solution - Developed a model to infer abnormal areas based on the installation status of parts *For more details, please refer to the PDF document or feel free to contact us.*
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【Effect】 ■Reduction of labor hours for response during maintenance inspections and in case of abnormalities *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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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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