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

Recommended technical proposal for customers considering the measurement of effects and quality improvement in predictive maintenance and equipment management! 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 concern 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, alongside equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that is around 60 or 70 points in completeness, rather than aiming for a perfect 100-point system from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.