Ensuring high product quality is essential for maintaining customer satisfaction and protecting your brand’s reputation. DataQuark’s Product Quality Dashboards provide real-time insights into quality metrics, helping you pinpoint defects, track trends, and improve overall production standards. By identifying correlations between inspection rates and defect occurrences, our dashboards empower you to enhance quality control, reduce waste, and drive continuous improvement across your operations.
Our Product Quality Dashboards are designed to provide comprehensive insights into your production processes. Here are some of the key features :
The Defect Analysis Dashboard offers an overview of product defects and inspection rates. It includes various reports that analyse defects by event code, location, and production batch, helping you pinpoint problem areas and take corrective actions.
This report examines the relationship between inspections and defects over time, allowing you to find the optimal rate of inspection. By understanding this relationship, you can enhance your inspection processes and reduce defect rates.
This report provides an overview of material usage in the production processes, helping you monitor and optimize material consumption to improve efficiency and reduce waste.
Predictive quality analytics is a powerful tool that focuses on identifying and addressing quality issues before they arise. Our predictive quality solutions leverage artificial intelligence (AI) and machine learning (ML) models to detect, correct, and reduce the occurrence of poor-quality goods.
Traditional quality control (QC) processes often rely on manual inspections, which can be time-consuming, expensive, and prone to errors. In contrast, predictive quality analytics make post-production inspection more efficient and help identify and avoid quality issues early in the production process.
Failing to spot quality issues can have significant financial repercussions, including product recalls, lost revenue, and damage to your brand's reputation. Predictive quality analytics help mitigate these risks by providing real-time insights and enabling proactive quality management.
Our predictive quality tools take data from sensors, machine records, Industrial Internet of Things (IIoT) devices, and historical production data from the data historian and ERP. By applying AI and ML, these tools produce meaningful quality insights, allowing you to :
At DataQuark, we are dedicated to helping manufacturers achieve the highest standards of product quality. Our Product Quality Dashboards and predictive quality analytics provide the insights you need to optimise your production processes and ensure consistent product excellence.
Ready to elevate your production standards with advanced quality insights? Contact DataQuark today to learn more about our Product Quality Dashboards and how we can help you achieve superior product quality and operational efficiency.