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May 2025: New release of Creo+

Creo+ now has 85 enhancements to deliver all the benefits of Creo, via SaaS, improving everyday design productivity and collaboration. Expanded model-based definition (MBD) ensures accurate data is provided every time with improved file export capabilities. Generate solid geometry from composite layers with industry-leading composite tools, and leverage AI-powered generative design for thermal optimization studies. Inspired by our users, feature presets and flat assemblies are now available for better usability. Finally, Creo+ updates 75% faster, and communication features integrated into the design environment make real-time collaboration easier to deliver your best designs in record time.

Read the release notes to learn more.

Discover Creo+

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Exceptional usability and productivity

Creo 12 delivers an intuitive interface coupled with streamlined workflows, helping you deliver your best designs in less time. Customer-inspired enhancements in Creo 12 include feature presets, creation of flat assemblies from multibody parts, and improved Windchill interaction. What’s New highlights and enhanced tool tips provide design engineers with the resources needed to maximize the full potential of Creo. 

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? Information about this class is as follows:
FREE IN-DEPTH CREO TRAINING – ONLINE
Content:
– Top-Down design application in design with Creo Parametric
– Data management on Windchill with Creo Parametric software
Time: 7pm to 9pm on Thursday (December 19, 2024)
Form: Online
Quantity: Maximum 100 people
Scan the QR code in the image or click on the link below to register. nha:
https://tinyurl.com/5a4fmeb8
#learn_Creo #CCS #Free #learn_Creo_online #PLM #Windchill

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The selected surfaces will be transformed and attached to the remaining geometry through automatically created side faces. This allows to create the desired geometry more quickly and easily in a number of geometric situations.

The new option covers situations where previously the system could not generate a geometrically attached solution, and users can now more quickly and easily create geometry from surfaces with imprinted edges.

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Trong Creo Elements Direct Modeling 20.7, bạn có thể sử dụng tùy chọn “Create Side Faces” mới để kiểm soát kết quả hình học cho một số công cụ mô hình hóa 3D, “Offset”, “Change Radius/Diameter”, “Move” và “Radial Offset”.
Các bề mặt được chọn sẽ được chuyển đổi và gắn vào hình học còn lại thông qua các mặt bên được tạo tự động. Điều này cho phép tạo hình học mong muốn nhanh hơn và dễ dàng hơn trong một số tình huống hình học.
Tùy chọn mới bao gồm các tình huống mà trước đây hệ thống không thể tạo giải pháp gắn hình học và giờ đây người dùng có thể tạo hình học nhanh hơn và dễ dàng hơn từ các bề mặt có các cạnh được in.

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The post Non-linear Materials in Creo Ansys Simulation | Creo 10 appeared first on Phần mềm PTC Creo (ProE) bản quyền.

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Creo+ now supports the ability to manage company configurations in the cloud through PTC’s SaaS platform, Atlas. We provide a new admin mode that allows CAD Admins to upload, create, and edit customisable configurations for the admin’s organisation, including config.pro, config.sup, customization.ui and mapkey.pro for the whole organisation, the profile, or the individual user. Admins can enforce these settings for their users and may choose to lock them so the end user can’t modify them. These settings are saved in the cloud. This allows CAD Admins to configure options at-scale much more efficiently than before.

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Advancing quality management through PLM technologies

Best-in-class industrial leaders are driving a transformative shift in addressing quality management. These forward-looking organizations are leveraging cutting-edge technologies to enhance efficiency and effectiveness. Through digital transformation, quality management benefits from advanced data analytics, cloud-based systems, machine learning, and artificial intelligence, leading to more informed decision-making and proactive problem-solving. It also mitigates compliance risks by ensuring adherence to industry standards and regulations. While these solutions are helping the best-in-class extend their advantage over competitors, the journey toward digital transformation is not without its challenges. Let’s explore the nuances of digital transformation in quality management, its impact, and how to avoid obstacles that lie ahead.

What is digital transformation in quality management?

Digital transformation in quality management refers to the integration of digital technologies into all aspects of quality control processes, fundamentally changing how businesses operate and deliver value to customers. The best-in-class recognize this transformation as a top priority because it helps ensure the following outcomes:

Enhanced customer experience

By leveraging digital transformation, organizations can create significant value for the customer experience. With 3D technologies, customers and suppliers can collaborate on product development across countries and continents. Real-time data access allows monitoring of production and after-sales processes, leading to better customer experiences.

Technologies like 3D modeling enable collaboration across borders and enhance product development. Access to real-time data ensures that production and after-sales services are constantly monitored and improved, leading to an exceptional customer experience. This aligns with the benefits of cloud-based quality management systems, which allow for continuous improvement and process standardization and are accessible from anywhere, thus ensuring high standards and efficient processes.

Quality control and assurance

The adoption of digital technologies minimizes human error in quality management. Quality managers can use digital tools to improve quality control and assurance processes. Quality managers can utilize digital tools to bolster quality control and assurance processes, which is a testament to the benefits of advanced data analytics and increased machine learning in digital quality management (DQM) systems. These tools provide predictive insights and automate quality checks, ensuring higher accuracy and reliability.

Cloud-based quality management systems

These systems facilitate continuous improvement efforts, process standardization, compliance, and other quality initiatives from any location. In addition to upholding high standards and efficient processes, quality management often serves as a catalyst for additional digital transformation.

What is the impact of digital transformation in quality management?

Digital transformation and quality management are a mutually beneficial combination, having several positive impacts on a given organization:

• Efficiency and automation: Digital tools streamline processes, automate repetitive tasks, and reduce manual errors. This efficiency translates to better quality control and faster response times.
• Data-driven decision making: Real-time data collection and analysis allow quality managers to make informed decisions. Predictive analytics can identify potential quality issues before they escalate.
• Collaboration and communication: Digital platforms enable seamless collaboration across teams, suppliers, and customers. Quality-related information can be shared instantly, bolstering communication and fast problem-solving.
• Traceability and compliance: Digital systems track product lifecycles, ensuring traceability from raw materials to end-users. This makes compliance with industry standards and regulations much easier to maintain.
• Continuous improvement: Digital tools facilitate continuous improvement initiatives. Quality managers can monitor performance metrics, identify bottlenecks, and implement corrective actions.

Digital transformation enhances quality management by promoting efficiency, data-driven insights, collaboration, and compliance. Discover the importance of digital transformation and its strongest drivers for success on PTC’s Industry Insights.

The capabilities of quality management achieved through digital transformation

Quality management is hardly a new discipline, but digital transformation is a game changer for quality management systems. It introduces a multitude of benefits that enhance the overall efficiency and effectiveness of a manufacturing environment. These benefits collectively contribute to a robust quality management system that is resilient, responsive, and capable of driving continuous improvement. They ensure that quality management is not just a compliance activity but a strategic advantage that can lead to better products, satisfied customers, and a stronger market position.

Advanced data analytics

The integration of advanced data analytics into quality management allows for a deeper understanding of processes and outcomes. It enables the identification of patterns and trends that can lead to more informed decision-making and proactive measures to maintain high-quality standards.

Cloud-based quality management systems

Cloud-based solutions offer scalable and flexible platforms that can be accessed from anywhere at any time. This ensures that quality management processes are not confined to a single location and can adapt to the dynamic needs of the business.

Increase in machine learning

Machine learning algorithms can predict potential quality issues before they occur, allowing for preemptive action to be taken. This not only saves time and resources but also helps in maintaining a consistent quality of products or services.

Artificial intelligence

As artificial intelligence (AI) becomes more prevalent, it’s important to structure your data for AI consumption. Some anticipated AI applications include automating complex quality management tasks, reducing the need for manual intervention, and providing insights to support continuous improvement efforts.

How does digital quality management mitigate compliance risks?

Digital quality management systems significantly mitigate compliance risks by integrating various compliance-related processes and ensuring adherence to regulatory standards. Through DQM solutions, compliance is not just a one-time check but an integrated part of the quality management process, thereby significantly reducing the risk of non-compliance and the associated penalties.

Streamlined compliance management

DQM systems provide a centralized platform for managing all compliance-related activities, ensuring that nothing falls through the cracks. This includes tracking regulatory changes, managing documentation, and ensuring that all processes are up to date with the latest compliance requirements.

Proactive risk identification

By leveraging advanced data analytics, these systems can identify potential compliance risks before they become issues. This proactive approach allows organizations to address risks promptly and avoid non-compliance.

Automated documentation

Digital systems automate the creation and maintenance of essential compliance documents, reducing the risk of human error and ensuring that all necessary documentation is accurate and readily available for audits.

Enhanced traceability

With a DQM system, every aspect of the product lifecycle is traceable. This provides a clear audit trail from design to delivery that can be easily accessed during inspections.

Continuous improvement

Digital transformation enables a culture of continuous improvement, where insights from data analytics and machine learning are used to refine and enhance existing processes. This not only improves quality but also ensures that compliance is maintained as processes evolve.

What challenges are faced when implementing digital transformation in quality management?

Implementing digital transformation in quality management presents a set of challenges that organizations need to navigate carefully to ensure a successful transition. Fortunately, once we identify and anticipate potential bottlenecks, it’s much easier to avoid them.

• Cultural resistance: Change can be difficult, and there may be resistance from employees who are accustomed to traditional methods. Overcoming this requires effective change management and communication strategies.
• Data integration: Ensuring data consistency and quality across different systems, such as ERP and PLM, can be complex. Discrepancies can lead to errors and inefficiencies.
• System compatibility: Integrating new digital tools with existing systems can be challenging, especially if the current infrastructure is outdated or incompatible with new technologies.
• Training and skill development: Employees must be trained to use new digital tools effectively. This can be time-consuming and requires investment in skill development but is nonetheless critical to digital transformation success.
• Cybersecurity risks: The increased use of digital systems raises the risk of cyber threats. Organizations must implement robust security measures that scale with their digital transformation efforts in order to protect sensitive data.
• Cost: Implementing digital transformation initiatives can be costly, and organizations must ensure they have the budget to support the transition and ongoing maintenance.
• Regulatory compliance: Maneuvering the complex regulatory landscape and ensuring that DQM systems comply with all relevant laws and standards is crucial.

These challenges highlight the importance of a well-planned and executed digital transformation strategy that removes or minimizes these potential hurdles. Part of that planning is careful vetting of technologies that can deliver the best outcomes while addressing these potential challenges.

How does digital transformation in quality management impact different industries?

Each industry has unique challenges and opportunities, requiring a similarly distinct digital transformation journey. Whether it’s enhancing the driver experience in automotive, or enabling digital thread in industrial equipment, the common goal is improving quality management to achieve better products, services, and business outcomes.

Automotive

Digital transformation is reshaping the automotive industry by introducing electric vehicles, advanced driver assistance systems, software-defined cars, and new in-vehicle displays. Through digital transformation, the automotive industry can improve product quality by enabling better collaboration across teams and enhancing product development with technologies like 3D modeling and PLM.

Medical devices

For medical devices, digital transformation helps manage increasing complexity, competitive pressures, and regulatory compliance. It enables medical device companies to innovate and accelerate speed to market while managing documentation and compliance demand—which is particularly important given the stringent regulations in this industry.

Industrial equipment

In the industrial equipment sector, digital transformation in quality management facilitates workforce adaptation to new digital ways, orchestrates ecosystems for successful execution, and helps achieve value quickly with scalable solutions. Electronics and High-Tech The electronics and high-tech industry benefits from digital transformation through real-time production performance monitoring, enterprise plant benchmarking, and scalable production management. These advancements are crucial for improving quality and accelerating time to market, which is essential for success in this rapidly evolving sector.

Oil and gas

Digital transformation in quality management within the oil and gas industry can lead to smarter capital projects, better equipment health monitoring, and more efficient operations that align with environmental and economic goals. It also supports workforce adaptation and the industry’s move toward decarbonization.

Aerospace and defense

In the aerospace and defense industry, digital transformation enhances the entire product lifecycle through a digital thread by improving both compliance and complexity and enabling predictive maintenance. It also increases workforce efficiency and impacts service organizations by improving maintenance quality and speed, while aiding in cost management and strategic planning.

Retail

Meeting customer expectations, delivering individualized experiences at scale, and operating at market speed are critical for the retail space. Digital transformation in quality management helps reduce cycle time, understand customer usage patterns for better product designs, and manage complex supply chains to maintain customer loyalty and stay competitive.

Achieve better quality through digital transformation

Go beyond the average benefits of a quality management system by empowering your quality initiatives through digital transformation. A PLM platform is the best approach to quality through digital transformation by supporting change management efficiency, fast responses to internal and market pressures, and improved product quality. PLM can also enable global teams to collaborate through shared product information, ultimately driving superior business performance.

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