AI identifies the causes of defects and accelerates quality improvement.
In the automotive industry, maintaining and improving quality and reducing defective products are crucial factors that influence customer satisfaction and corporate competitiveness. Even minor anomalies in the manufacturing process can lead to large-scale recalls or a decline in brand image. The i-Analyzer smartly manages vast amounts of inspection and measurement data and assists in identifying the causes of defects through AI analysis. With process capability evaluation, anomaly detection using control charts, and advanced filtering functions, it helps suppress the occurrence of defective products and enhances the efficiency of quality management. 【Usage Scenarios】 - Analysis of quality data in the manufacturing process - Identification of the causes of defects - Evaluation of process capability - Strengthening of quality management systems 【Effects of Implementation】 - Cost reduction through the reduction of defective products - Increased customer satisfaction through quality improvement - Rapid decision-making based on data - Streamlining of quality management operations
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【Features】 - Browser-based - Advanced inspection characteristic comparison function - Event input function - Advanced filtering function - Complete with essential quality control charts 【Our Strengths】 We are a company specializing in the collection, analysis, and utilization of quality data and process data. We select software tailored to our customers' requirements and scale, allowing for phased expansion according to the process.
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You can choose between a perpetual license and an annual subscription plan.
Price range
P4
Delivery Time
P3
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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.
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