In modern manufacturing, especially in industries such as automotive, aerospace, consumer electronics, heavy industry, and medical devices, dimensional quality control is not only about product qualification but also directly impacts production efficiency and operational costs. Traditional quality control methods, particularly those based on manual operations and Excel data analysis, can no longer meet the demands of rapidly evolving industries. Therefore, we have launched an independently controlled, domestically produced three-coordinate CMM dimensional tolerance quality control management tool, similar to Piweb and Q-DAS eMMA. It enables intelligent prediction through AI empowerment, helping companies achieve comprehensive quality data analysis and optimization.
AI-powered Intelligent Prediction and Issue Warning In traditional quality management, many companies rely on manual data entry and calculations in Excel. This method is not only tedious but also prone to human errors, and it fails to detect potential quality issues in a timely manner. Our system uses artificial intelligence technology to intelligently analyze the collected measurement data, predicting and warning about quality fluctuations in real-time. When measurement data exceeds preset limits, the system immediately triggers an alert, helping businesses identify potential problems early and avoid costly rework and scrap costs.
Cross-device Data Integration and Unified Platform Management One of the key advantages of our system is its ability to support data integration from different devices and platforms. Whether it’s from Zeiss, Hexagon, Nikon laser radar, ATOS measurement machines, CROOD3 three-coordinate measurement machines, or manual inspection data, all measurement results can be uploaded to a unified database. The system automatically performs format conversion and consistency processing, enabling seamless integration and analysis of data from various sources on a single platform, significantly improving data processing efficiency.
Breaking Down Information Silos: Achieving Supply Chain Collaboration and Quality Improvement In a multi-factory, multi-workshop, and multi-supplier production environment, quality control often faces the challenge of dispersed data and information silos. Our system facilitates data sharing and collaboration between different factories, workshops, and suppliers. By integrating supplier dimensional data and conducting real-time analysis, companies can more efficiently assess supplier quality performance, optimize supply chain management, improve product acceptance rates, and ensure the stability and consistency of product quality.
Intelligent Quality Monitoring: Precisely Controlling the Production Process Real-time monitoring of quality data is key to improving production efficiency and product qualification rates. Our system supports various common control charts (such as X-bar, P, NP, etc.), as well as process capability analysis tools like Cp/Cpk and Pp/Ppk. With flexible anomaly detection rules, the system can monitor abnormalities in the production process in real time and promptly issue alerts. This allows companies to take action before problems occur, avoiding production interruptions or quality issues from spreading.
3D Dimensional Analysis: Real-time Data Interaction and Visual Reports Compared to traditional PDF reports, our system employs advanced 3D dimensional analysis capabilities, which allow measurement data to be directly mapped onto a 3D model for real-time interaction. Users can view data for each measurement point within the 3D model and conduct in-depth analysis of any abnormal points. 3D reports are not only intuitive and easy to understand but also provide real-time updates and interactivity, enabling decision-makers to quickly and accurately grasp every piece of data in the production process and make more confident decisions.
SaaS Architecture: Low Cost, High Flexibility Many quality management software solutions on the market are expensive and update slowly, while our SaaS-based solution is not only cost-effective but also adaptable to rapidly changing market needs. Businesses can choose cloud services or private deployments and can customize the software to meet specific needs. Whether for small and medium-sized enterprises or large original equipment manufacturers, our system provides efficient data processing and quality control features.
MSA Analysis and Comprehensive Statistical Tools One of the fundamentals of quality management is ensuring the accuracy and reliability of measurement data. Our system supports MSA (Measurement System Analysis), helping businesses comprehensively evaluate their measurement devices and processes. Additionally, the system offers powerful statistical analysis tools that can perform full statistical calculations and Statistical Process Control (SPC) analysis, revealing trends and anomalies in the data, helping businesses analyze the causes of quality fluctuations and take corresponding actions.
Intelligent Reporting: Efficient Decision-making and Continuous Improvement Our system not only provides traditional static reports but also supports real-time intelligent reporting features that automatically generate reports related to key quality indicators (KPIs). These reports help businesses track key data in the production process, identify potential issues, and adjust in a timely manner. Through these efficient reports, communication between design and manufacturing teams becomes smoother, forming an effective feedback loop for continuous improvement and driving product quality improvements.
Industry Application Case: Quality Control in the Automotive Industry For example, in the automotive industry, the dimensional accuracy of body parts is extremely critical, as even the slightest error can affect the overall vehicle’s quality and safety. With our system, automotive manufacturers can monitor production data from different factories, workshops, and suppliers in real time and conduct comprehensive analysis. The system’s intelligent prediction and real-time alert functions ensure that quality issues are detected at the earliest stage, reducing the risk of rework and scrap. By sharing data between the design team, production team, and suppliers, businesses can more efficiently improve quality, ensuring the high-quality delivery of every vehicle.
Applicable Across Industries: From Automotive to Aerospace and Medical Devices Although our system performs exceptionally well in the automotive industry, it is also applicable to aerospace, consumer electronics, heavy industry, and medical devices. Whether it’s precise analysis of aerospace components or dimensional control of medical devices, our system can provide powerful support to help businesses improve quality, optimize production processes, reduce waste, and lower costs.
Flexible Configuration and Rapid Deployment The configuration of our system is highly flexible, allowing users to personalize the system based on their specific needs. The system supports seamless integration with existing IT environments and provides powerful API interfaces, making it easy to share and display data with MES systems, large-screen display platforms, and more. Moreover, the system is quickly deployable, enabling businesses to achieve full process digitization from data collection to quality analysis in a short period.
By comprehensively enhancing data processing, quality analysis, and decision-support capabilities, our intelligent dimensional quality control system helps businesses ensure product quality while significantly improving production efficiency, reducing costs, and driving continuous improvement and innovation in the face of intense market competition.