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By simply attaching sensors to the components, we can visualize the current state in numerical form and achieve anomaly detection. This is an example of the effects of introducing the IoT service 'OMNl edge' into the robot's travel axis. "The surrounding environment is very harsh due to welding, retrieval, transportation, and special processing, leading to the entry of processing dust and liquids or mist, which can cause damage. Although we are taking environmental measures, is there a way to know the state in advance?" This service addresses such concerns. [Contents] ■ Concern 1: If a failure occurs in the long robot transport axis, it leads to a major halt! ■ Concern 2: In processes with harsh operating environments, the frequency of guide replacements is high! ■ Countermeasures with OMNIedge! ■ Effect image ■ What is OMNIedge? *For more details, please refer to the PDF document or feel free to contact us.

This is an example of the effects of introducing the IoT service "OMNl edge" to a tire factory, which visualizes the current state numerically by simply attaching sensors to components and enables anomaly detection. "By continuing to use it as is, an issue occurred where the balls of the LM guide fell off. While regular replacement would take 3 hours, an unexpected stoppage resulted in over 10 hours of downtime." 【Content】 ■Issue 1: Continuous uneven load causing ball detachment! ■Issue 2: High frequency of guide replacements in a harsh operating environment! ■Countermeasures with OMNIedge! ■Effect image ■What is OMNIedge? *For more details, please refer to the PDF document or feel free to contact us.

This is an example of the effects of introducing the IoT service 'OMNl edge' to a food factory, which visualizes the current state numerically by simply attaching sensors to parts and realizes predictive detection. "In the packaging process, there are environments where paper dust is present, which can cause guides to break within about a year due to dust. Failures that lead to balls falling off must be avoided as they can result in foreign matter contamination. Is there a way to know the state as soon as possible?" This and other concerns can be resolved. 【Contents】 ■ Concern 1: The surrounding environment during food processing is a factor in guide breakage! ■ Concern 2: High frequency of guide replacements in environments with paper dust ■ Countermeasures with OMNIedge! ■ Effect image ■ What is OMNIedge? *For more details, please refer to the PDF document or feel free to contact us.

This document introduces the implementation and utilization examples of THK's skill management AI solution at their factory. It explains the structural changes faced by the manufacturing industry, such as the decrease in workforce and the loss of skills, as well as the challenges of skill management occurring on-site, including the dispersion of skill information and the inability to grasp the overall situation. It also includes the effects of the implementation process and operations, as well as the strategic development and placement brought about by skill visualization, along with changes in the workplace. Please feel free to download and take a look. 【Contents (partial)】 ■ Changes in the environment surrounding the manufacturing industry and the importance of skill management ■ Challenges of skill management occurring on-site ■ A four-step approach to transforming skill management into a management resource through visualization ■ THK's skill management AI solution ■ Background and challenges at THK *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case where we implemented the "GX Solution" at our manufacturing site as part of our efforts towards carbon neutrality. Traditionally, the manual data collection conducted once a month placed a burden on the on-site workers. Additionally, while it was possible to monitor the overall macro electricity usage of the factory, there were limited means to grasp the micro electricity usage at the equipment or line level. With the introduction of this solution, we are now able to remotely aggregate electricity usage data from the entire factory down to individual equipment. By reviewing operating times based on the collected data, we have achieved a reduction in standby power and electricity costs. [Case Overview (Partial)] ■ Background of Implementation - Manual data collection once a month was a burden on on-site workers - Limited means to grasp micro electricity usage at the equipment or line level ■ Effects of Implementation - Reduction in man-hours through remote monitoring - Suppression of standby power through optimization of operating times *For more details, please download the PDF or feel free to contact us.