Abnormal cause analysis, quality improvement, and efficiency enhancement through AI utilization.
Related products: MainGATE/MSPC With over 550 implementations primarily in the manufacturing industry, it is used for improving processing accuracy through diagnosis and analysis of manufacturing processes, enhancing quality yield through diagnosis and analysis of manufacturing processes, ensuring process quality through application in equipment abnormality diagnosis for medical devices, stabilizing production volume, and detecting abnormal signs through monitoring of refrigeration systems.
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basic information
Case study of the implementation of an AI diagnostic platform. Company A, a textile manufacturing manufacturer, relied on the individual skills of its employees for quality control, leading to missed anomalies and delays in analyzing the causes of anomalies due to variations in experience. To solve this problem, an AI diagnostic platform for manufacturing was introduced, significantly reducing the time required to identify the causes of anomalies, enabling greater efficiency in quality control operations and improving product quality.
Applications/Examples of results
Implementing Company: Textile Manufacturing Manufacturer Implemented Product: AI Diagnostic Platform for Manufacturing Industry [Challenges Before Implementation] - The discovery of anomalies relied on the experience and knowledge of operators. - Due to the lack of continuous monitoring, anomalies were overlooked. - A significant amount of time was spent investigating the causes of anomalies when they occurred. [Effects After Implementation] - Early detection of anomalies in the production process and reduction of product loss. - Time spent on investigating the causes of anomalies was significantly reduced, achieving about 20 hours of efficiency per month. - Operator knowledge was databased, preventing oversights caused by variations in experience levels.
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Company information
Providing solutions for various plants and factories such as food, chemicals, oil and gas pipelines, paper and pulp, and cleaning facilities. Our measurement and control systems have over 40 years of history since the launch of the first distributed control system in 1975. Based on our track record, we propose systems and solutions to support the latest technologies, IoT utilization, and the development of smart factories. - Steam generation heat pumps / waste heat utilization / visualization of thermal energy - Clamp-on steam flow meters / flow meters / flow sensors / thermal balance analysis - Industrial furnaces / electric furnaces / high-frequency induction furnaces / IGBT power supplies - Gas analyzers / gas measurement devices / gas analysis sensors - Predictive maintenance / anomaly detection maintenance / preventive maintenance / maintenance and prevention systems / smart security - Smart factory - MES / DCS / SCADA / edge controllers - EMS / energy management systems / visualization of energy - Smart glasses / remote work support systems - Multivariate analysis / MSPC - Engineering tools
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