Existing limitations and opportunities of ISO QMSs related to the predictive design of products with Artificial Intelligence

Quality management is crucial for business success of companies to deliver high quality products and services. Despite ISO 9001 is one of the most recognized quality management standards, its improvement and adaptation to the usage of Artificial Intelligence AI is required to challlenge the innovations and opportunities provided by AI algorithms, specially related to the design of non previously existing products designed with predictive AI algorithms, as it is the case of 3Dresyns multifunctional 3D resins which are ordered online by choosing among thousands of colors and up to 4 functional additives, among around 50 choices.

3Dresyns is committed to providing and sell online made to order safe and multifunctional 3D resins to comply with the relevant regulations for the intended applications for which they have been designed.

3Dresyns is also committed to the continuous improvement of the quality of its products and services by implementing a reliable non ISO certified QMS.

3Dresyns QMS shares some of the key principles, benefits and "pros" of ISO QMS but it selectively limits and excludes some of its "cons", such as excessive paperwork, excessive rigididy, and restricts on-site / off-site audits.

Another limitation of ISO certification is the existing limitation to get ISO compliance of predictive non existing, not previously designed, online ordered products. 

Discover:

The Challenge of AI and ISO 9001 Compliance

ISO 9001 certification ensures that quality management systems of companies meet certain management requirements through traditional excessive manual, time-consuming, and resource-intensive burocratic (excessive paper work and documentation effort) processes. AI has started to be used in Quality Management Systems QMSs and are transforming ISO 9001 compliance related to: driven insights, predictive analytics, data-driven insights, predictive analytics, automation, process optimization, and consistency. 

AI-powered quality management systems currently provide real-time data analytics, predictive insights, and automation capabilities that elevate the quality of products and services.

The next pending step is the integration into the ISO family of the design of new, not previously designed, materials created online by customers using interpolative and extrapolative analysis. The integration of AI in the development of online functionalized products is a pending task waiting for acceptance by the ISO 9001 standard and represents a new era of quality management since it will allow organizations to develop multivariate and multivariable multifunctional systems designed online by its customers under ISO certification.

How 3Dresyns and AI are revolutionizing the 3D printing industry 

The integration of AI is revolutionizing traditional business processes, since exhibits a unique potential to enhance efficiency, accuracy, and decision-making capabilities in the quality process.

The Role of AI in Quality Management

  • Automation of Quality Control Processes
  • Predictive Analytics for Quality Assurance
  • AI-Based Sensors and Monitoring Systems

    Benefits of AI in Quality Management

    • Improved Accuracy and Reliability
    • Increased Efficiency and Productivity
    • Enhanced Decision-Making Capabilities

    Industry Applications of AI in Quality Management

    • Manufacturing AI is used for product quality assessment, identifying defects, and ensuring product consistency. In predictive maintenance to reduce machine downtime and optimize production efficiency, leading to improved product quality and reduced costs. Note: 3Dresyns is the first chemical company implementing AI algorithms in the predictive design of online multifunctional ordered products 
    • Healthcare/Life Sciences: AI algorithms are used for medical diagnosis and quality assessment to ensure optimal healthcare quality
    • Software Development: AI-driven testing and code quality analysis ensure high-quality software products
    • Food and Beverage Industry: AI is utilized to monitor and analyze various parameters throughout the production and packaging processes
    • Energy and Utilities: AI can detect deviations in performance, helping identify maintenance needs and optimizing energy production

      Challenges and Considerations

      • Data Quality and Availability
      • Ethical Considerations and Human Oversight
      • Integration and Implementation Hurdles

      Besides AI enhancement of efficiency, accuracy, and decision-making capabilities. Its ability to automate processes, provide predictive insights, and improve overall quality outcomes is transforming industries across the board.

      Conclusions

      3Dresyns embracing of AI for online design of multifunctional resin systems allows the online predictive multifunctionalization and customisation of billions of ready to use/print 3D resins to meet the most demanding customers expectations.

      Reference supportive publications: