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  6. Multivariate analysis tool (quality simulation)

Multivariate analysis tool (quality simulation)

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last updated:Apr 26, 2024

富士電機 パワエレ営業本部 産業ソリューション統括部
富士電機 パワエレ営業本部 産業ソリューション統括部
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Quality simulation enables product quality improvement and yield enhancement.

The multivariate analysis tool (quality simulation) is an analytics and AI technology (analysis and optimization technology) with a wealth of achievements in manufacturing quality improvement and abnormal detection of equipment at the customer's site. It detects anomalies arising from multiple factors in the manufacturing process, determines the relationship between product quality and factors, and enables quality simulation, thereby achieving product quality improvement and yield enhancement. One of the features of this analysis tool is the ability to verify the effects of implementation early on. If existing data is available, a simple diagnosis can be performed in as little as one day through offline analysis. Even if there is no existing data, data collection can be easily facilitated by retrofitting an edge controller to the existing system, allowing for the creation of diagnostic models. We will propose a deep dive into the analysis content, the construction of an online analysis system, system operation, maintenance, and expansion while confirming the effects of implementation together with the customer.

    Business Intelligence and Data Analysis
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Multivariate analysis tool (quality simulation)

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  • Related Link - https://www.fujielectric.co.jp/products/foodfactor…

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basic information

Features - Capability to extract characteristics between factors without restrictions on the number of data items such as manufacturing results, equipment operation results, and inspection results. - Ability to detect not only known anomalies but also unknown anomalies. - Support for the analysis of batch process data in addition to continuous process data. Functions - Anomaly diagnosis through multivariate statistical process control. - Quality estimation technology (quality simulation) using partial least squares method.

Applications/Examples of results

The implementation track record exceeds 550 cases, making it ideal for use in manufacturing and quality control departments as well as design and production technology departments. The multivariate analysis tool has been implemented in over 550 cases, primarily in the manufacturing industry. There are numerous implementation results, including improvements in processing accuracy through diagnosis and analysis of manufacturing processes, enhancements in quality yield through diagnosis and analysis of manufacturing processes, ensuring process quality through application in equipment abnormality diagnosis and medical device quality judgment, stabilization of production volume, and anomaly detection through monitoring of refrigeration systems. 【Excerpt of Implementation and Application Cases by Industry】 - Chemical Industry: Investigation of causes of quality defects in thin film manufacturing, online analysis (identification of causes of color defects). - Chemical Industry: Yield improvement in winding processes (product quality judgment), online trend management (anomaly detection). - Medical Devices: Yield improvement in the spinning process of hollow fiber manufacturing (product quality judgment), offline trend management, anomaly detection. - Automotive Industry: Stabilization of molding accuracy in the molding process, online trend management. - Automotive Industry: Reduction of voids in aluminum casting processes, online waveform analysis. - Heavy Machinery and Power Plants: Anomaly prediction diagnosis in waste incinerators, offline analysis.

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Multivariate analysis tool (quality simulation)

Multivariate analysis tool (quality simulation)

PRODUCT
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Survey on Awareness of DX in the Manufacturing Industry (Steel Industry and Non-Ferrous Metals)

Survey on Awareness of DX in the Manufacturing Industry (Steel Industry and Non-Ferrous Metals)

OTHER
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Survey on Awareness of DX in Food Factories

Survey on Awareness of DX in Food Factories

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Awareness survey on IoT and data utilization in food factories.

Awareness survey on IoT and data utilization in food factories.

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Company information

富士電機

富士電機 パワエレ営業本部 産業ソリューション統括部

Industrial Electrical Equipment

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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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