[IoT Case Study] Manufacturing Industry: Improving Productivity through Fault Prediction Monitoring

Mipox Corporation, Manufacturing Industry

We would like to introduce a case study of our IoT solution utilized at Mipox Corporation. As a global niche leader in the "polishing" field, the company responds to various customer needs and is conducting demonstration experiments aimed at detecting early signs of failures in manufacturing machines (slitters) to reduce line stoppages and defective product costs. For details such as configuration diagrams, please refer to the downloadable materials and view "IoT Solution Case Study No. 006." 【Before Implementation (Challenges)】 - We want to perform maintenance before product defects occur. - We want to reduce line downtime. - We want to reduce defective product costs. 【After Implementation (Effects)】 - Predictive maintenance is made possible by monitoring the operating status of machines with multiple sensors. - Data is accumulated in the cloud, enabling visualization and analysis of information.

Other mounting machines