Quality Management | FlexibleBI 3D Size Data Visualization and Analysis

Abstract

In modern manufacturing, dimensional quality control is a crucial part of ensuring product quality, especially in industries such as automotive, aerospace, consumer electronics, heavy industry, and medical devices, where the precision and consistency of dimensions directly impact the product’s performance and safety. To help companies improve quality management efficiency, reduce quality issues, and minimize rework costs, we offer a domestic and controllable 3D CMM dimensional tolerance quality control management tool that effectively solves the problems of manual data entry and delayed issue responses commonly found in traditional Excel-based analysis.

  1. Smart Prediction and Data Empowerment: Going Beyond Excel’s Limitations
    Traditional quality management often relies on tools like Excel for data processing and analysis. However, these manual entry methods and static tables cannot detect potential problems in a timely manner, nor can they achieve real-time monitoring and feedback. Our system integrates advanced artificial intelligence technology to provide powerful smart prediction capabilities, allowing real-time analysis and validation of quality data from different measuring devices. This effectively reduces issue response time and guides users to focus on key data, preventing them from being overwhelmed by an ocean of information.

  2. Cross-platform Data Integration and Seamless Data Conversion
    Our system supports data format conversion for various measuring devices, including Zeiss CMM, Hexagon CMM, Nikon laser radar, ATOS measurement machines, and others. All data can be uploaded to a unified database for integrated analysis. This means that regardless of the measuring devices used, all data from factories, workshops, and suppliers can be unified on a digital platform, ensuring data accuracy and consistency.

  3. Improving Supplier Acceptance Rate and Supply Chain Collaboration
    By analyzing and validating dimensional data provided by suppliers, companies can more efficiently assess supplier quality, improve acceptance rates, and enhance supply chain integration and coordination. In addition, the system’s real-time data sharing feature enables designers, manufacturers, and suppliers to communicate based on the same data, forming a continuous improvement feedback loop to ensure that the overall quality level of the supply chain is continuously improved.

  4. Intelligent Quality Monitoring: Real-time Alerts and Data Analysis
    Our system not only performs regular statistical calculations and Statistical Process Control (SPC) analysis but also supports monitoring of key quality indicators (KPIs). With the integrated smart reporting feature, the system can automatically identify and alert users to potential problems, especially when data exceeds the allowable range or control limits. This ensures that issues are addressed early, preventing unnecessary rework and scrap costs.

  5. 3D Dimensional Analysis and Interactive Reports: Strong Support for Real-time Decision Making
    Unlike traditional static PDF reports, our system supports interactive analysis and report generation using 3D models. In the white body CMM measurement data report, users can interact directly with the 3D model, view real-time data for each measurement point, and perform precise analysis. This real-time interactive report approach not only greatly improves decision-making efficiency but also avoids the limitations of traditional reports in terms of timeliness and operability.

  6. SaaS-based Flexible Deployment and Low Cost
    Compared to expensive traditional software, our system is based on a SaaS architecture, providing a more flexible and cost-effective solution. Companies can choose private deployment or cloud services according to their needs, and software updates are timely. Additionally, the software can be custom-developed based on the specific needs of factories. Furthermore, some features of the system are free, allowing users to easily experience efficient quality management tools.

  7. Support for MSA Analysis and Multiple Control Charts
    Our system supports conventional production process evaluations like Cp/Cpk, Pp/Ppk, and also offers comprehensive Measurement System Analysis (MSA) to ensure the accuracy and reliability of measurement data. The system also supports multiple anomaly detection rules and control charts, including X-bar charts, P-charts, NP-charts, etc. Users can flexibly configure these features according to actual needs, enabling full monitoring of various quality fluctuations during the production process.

  8. Cross-industry Applications: Example in Automotive Manufacturing
    While our system is applicable to various industries, it is particularly prominent in automotive manufacturing. The automotive industry has extremely strict requirements for product dimensions, especially for body parts. By using our system, automotive manufacturers can unify data from different factories, workshops, and suppliers for comprehensive analysis on the same platform, promptly identifying potential quality issues and avoiding quality fluctuations caused by communication barriers between design and manufacturing. This not only helps improve product quality but also optimizes production efficiency, reducing unnecessary rework and scrap costs.

  9. Flexible Configuration and Seamless Integration
    Our system is designed to be flexible, allowing for personalized configuration based on your specific needs. For example, you can easily digitize manual processes, such as data input, customer report requirements, first-article inspections, etc. The system seamlessly integrates with existing IT environments and MES systems, ensuring that effective analysis results are available in a very short time and enabling real-time data sharing and monitoring.

  10. Quality Management Tools for Multiple Industries
    In addition to automotive manufacturing, the system is also applicable to industries such as aerospace, consumer electronics, heavy industry, and medical devices. Whether it’s for dimensional analysis of aircraft parts or quality control of medical devices, our system can provide strong support to help companies improve product quality, optimize production processes, and reduce production costs.

By combining quality data with design and production process data, our system offers a more intelligent, efficient, and accurate approach to quality management, helping businesses achieve continuous improvement and innovation in the face of intense market competition.

Professor Liu
Professor Liu
Mechanical Engineering Expert

An authority in the field of mechanical engineering, with research interests spanning mechanical design, automation systems, and intelligent manufacturing.