- A collaboration solution with iNDEQS that differentiates from other companies with unique ideas -
At Process Arts Co., Ltd., we have started recruiting partners for our solution aimed at breaking the "siloing" of quality data, ensuring that measurement devices and sensor data do not just end with "fact verification." We propose integration between our next-generation quality data management platform "iNDEQS," which seamlessly combines data collection and AI analysis, and your company's systems. As the demand for data utilization in the manufacturing industry rapidly increases, we aim to solve on-site quality issues and further enhance productivity by adding iNDEQS to your strengths and existing solutions. By utilizing local AI that can be implemented even in manufacturing, where data security and confidentiality are required, we achieve both safety and convenience. Rather than blindly relying on AI, we output quality analysis results that are highly transparent and capable of external explanation, compliant with ISO, VDA, and AIAG SPC standards.
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basic information
┏■■■━━━━━━━━━━━━━━┓ ┃This system matches companies like these ┗━━━━━━━━━━━━━━━━━┛ ☆ Specialized trading companies for measuring instruments and sensors Fully multi-vendor compatible Manufacturer's proprietary data management and analysis software excels at handling its own data but struggles with data from other companies. Additionally, the benefits of implementation are limited to centralized data management and automated report generation. By using iNDEQS, we can propose concrete productivity improvements that utilize data without being influenced by measuring instrument manufacturers. ☆ Production management, ERP, MES vendors/SIs Simply sharing the same database for data integration is not unique. iNDEQS can not only determine "good or bad" but also pass structured data of "signs of quality changes" derived by the system to higher-level systems. It clearly "articulates and quantifies" when and where signs of changes occurred in which process and equipment, providing feedback.
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【Proposal Examples for Trading Companies】 We introduce examples of converting surface property parameters that have not been effectively utilized into corporate value. https://processartz.com/quality-control-dx-topics/productive_data_usage/ 【Co-Creation Materials for Software Vendors and SIers】 How can we avoid the "pitfalls of visualization" discovered through actual operational experience that cannot be understood in a PoC? We present specific collaboration proposals between iNDEQS and MES. https://processartz.com/quality-control-dx-topics/indeqs-and-mes-data-linkage/
Company information
We specialize in the collection, analysis, and utilization of quality and process data. Our goal is not merely to provide mathematical interpretations of data, but to help you turn data into actionable insights. With deep expertise in inspection equipment, machine tools, and industrial machinery, Process Artz supports you in building structured process data systems that enhance both product quality and manufacturing efficiency.
