IT Transformation in Plastic Molding Factories
Improving operations through efficiency, labor-saving, and the use of generative AI in quality management.
In the plastic molding industry, quality control requires the maintenance of stable product quality and the reduction of defective products. In particular, variations in fine dimensions and appearance defects are directly linked to product reliability, necessitating strict management. Inadequate management can lead to increased costs due to complaints and reprocessing. Our IT support addresses these challenges by improving on-site efficiency, streamlining indirect departments, and utilizing generative AI for operational efficiency, thereby enhancing the accuracy of quality control and reducing burdens. 【Usage Scenarios】 - Automation of dimensional inspection of molded products - Recording and analysis of defects in appearance inspections - Integration and visualization of manufacturing data and quality data - Standardization and sharing of quality standards - Cause analysis based on historical defect data 【Effects of Implementation】 - Increased efficiency in quality control operations - Reduction of human errors and improvement in inspection accuracy - Early detection of defects and prevention of their outflow - Continuous quality improvement based on data - Reduced burden on quality control personnel
- Company：ヴィサイプ
- Price：Other
