What is predictive maintenance (anomaly-based maintenance)? Introducing the differences from preventive maintenance and the steps for implementation.
Introducing the differences from preventive methods and the implementation steps using AI and IoT!
The losses caused by unexpected downtime due to sudden equipment failures on production lines are a significant challenge for the manufacturing industry. Veteran maintenance personnel may intuitively sense something is wrong from subtle changes in equipment sounds or vibration patterns. However, this valuable know-how is being lost with retirement. Moreover, traditional reactive maintenance that fixes equipment after it breaks down and preventive maintenance that involves regular parts replacement are becoming insufficient to fully grasp the condition of increasingly complex manufacturing equipment. This article summarizes practical information for those aiming to improve productivity in manufacturing sites, covering the basics of predictive maintenance, its benefits, and implementation methods. *For detailed content of the article, please refer to the link below.*
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"Kamunashi Equipment Maintenance" is the management tool for records and plans related to corrective maintenance and preventive maintenance, which serve as the basis for predictive maintenance. With Kamunashi Equipment Maintenance, you can manage spare parts, maintenance records, maintenance plans, and abnormality report records all in one tool. The "Equipment Maintenance DX Three-Point Set," which summarizes an overview of Kamunashi Equipment Maintenance and successful case studies of on-site digital transformation, is available for free download at the link below.
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Kaminashi is a "field DX platform" that reduces waste on-site and creates a productive work environment. It digitizes administrative tasks and routine work that were previously done on paper or Excel, from data entry of handwritten information to aggregation and reporting, enabling centralized management. It supports paperless operations, improves work efficiency, and promotes work style reform across various industries such as manufacturing, retail, food service, and logistics, contributing to the realization of field DX.
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