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[IoT] Beginner's Pack for Predictive Maintenance Starting Now

Recommended technical proposal for customers considering the measurement of the effectiveness of predictive maintenance and equipment management operations, as well as quality improvement! Utilizing large-scale data and machine learning as well!

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a critical issue when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential not to implement a perfect system from the start, but rather to gradually improve the system from a completion level of around 60 or 70 points towards the desired state. This document introduces some of the essence of that approach.

• Company：ウェーブフロント 本社
• Price：Other

• Construction and process management software
• Other Software