Five levels to maintain stable operation of equipment.
Are you struggling with sudden equipment troubles? Here is an explanation of the five levels of creating a predictive detection system.
In manufacturing sites, many people may have experienced a situation where "the machine suddenly stopped." When parts break or motors seize up, unexpected troubles can arise, halting production and delaying deliveries to customers. Especially in today's environments, maintenance of equipment (inspections and parts replacements) often relies on "experience and intuition," and by the time one notices that "something is wrong," it is often already too late. To reduce such troubles, it is very important to "detect signs (precursors) before a failure occurs." The Ministry of Economy, Trade and Industry has outlined solutions to these issues in the "Smart Manufacturing Construction Guidelines," presenting them as "Transformation Challenge Map No. 44." This guideline aims to establish a system for "detecting precursors of equipment malfunctions and maintaining stable operations." *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.
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"Creating Strong Factories" Since its founding, MAZIN has introduced AI/IoT systems to numerous factories. In the process, we were impressed by the "strong factories" that create products enriching society and support the lives of many people, which instilled in us a sense of mission to advance the manufacturing industry. With this sense of mission, we are developing the necessary systems for the future "strong factories" as an AI company specializing in and accompanying the manufacturing field.