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[Data Science Utilization Case] Improvement of Equipment Maintenance Quality

Utilizing DataRobot! A case of reducing response man-hours during maintenance inspections and when anomalies occur.

Utilizing DataRobot! A case study on reducing response labor during maintenance inspections and abnormal occurrences. We will introduce a case that achieved quality improvement in equipment maintenance in the manufacturing industry. The company had a challenge of wanting to understand 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 of response labor during maintenance inspections and abnormal occurrences. 【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.*

  • 企業:TDSE
  • 価格:Other
  • Business Intelligence and Data Analysis
  • Model development software

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AIBOD PHILOSOPHY Achievement Showcase

Deep learning and XAI model development! Showcasing achievements with major automotive companies and robotics businesses.

In this document, we introduce various achievements made by our company. We have included results such as the "HELP DESK," which solved the challenges of a real estate service company that wanted to streamline and reduce costs for the support center operations for rental apartment inquiries, as well as "Electronic Circuit Board Degradation Recognition." We also present applicable technologies for each case. We encourage you to read through it. 【Published Achievements】 ■HELP DESK ■Guaranteed AI ■Development of Control Systems for Transport Robots ■Electronic Circuit Board Degradation Recognition *For more details, please refer to the PDF document or feel free to contact us.

  • Other services
  • Other embedded systems (software and hardware)
  • Other image-related equipment
  • Model development software

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