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MCADCafe Industry Predictions for 2025 – ModuleWorks

Tuesday, January 7th, 2025

By Dr. David Plater, Technical Director, ModuleWorks

Dr. David Plater,

During 2025, we expect to see a rapid increase in Automation, Digital Twins and Partnerships.

Automation can take many forms.  At the micro level, Automation takes the form of more intelligent software to create individual toolpaths.  For example, a new automatic deburring cycle, based on ModuleWorks technology, is now available in many CAM systems.  At the intermediate level, template based creation of sequences can be used to automate the production of similar parts.  Again, ModuleWorks provides the technology to enable this with a range of products for automation and semi-automation.  And at the macro level, several companies are beginning to apply AI to the Automation of CAM programming. Again, ModuleWorks is providing the core technology to empower these systems.

Digital Twins are becoming more established in the CAM world and we expect to see a rapid increase in the range and depth of applications. One example is the use of a Digital Twin on the CNC controller to provide a Collision Avoidance System (CAS), which acts as a safeguard for multi-axis machines and lowers the barrier to entry for less experienced operators.  This technology, based on ModuleWorks software, is already available for some higher end machines and is likely to become more widespread during 2025.   ModuleWorks recently launched MDES (Manufacturing Data Exchange Specification), an open standard to enable a seamless digital manufacturing workflow between the CAM system and the CNC control.

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MCADCafe Industry Predictions for 2024 – Aras

Monday, December 16th, 2024

Rob McAveney, CTO, Aras

By Rob McAveney, CTO, Aras

Generative AI’s Impact on PLM

“Early adopters have demonstrated the potential of GenAI in PLM use cases, driving innovation, automation, and efficiency. But challenges like user confidence, data governance, and skills shortages persist.

In 2025, we’ll see a shift from prompt-based AI to agentic AI—autonomous background agents that make inferences and suggest optimizations without human intervention. These agents will analyze market trends, customer feedback, and performance data to generate new product concepts, streamline processes, and enhance sustainability. This evolution will transform PLM into an active partner in innovation, reducing time-to-market and improving operational efficiency.”

AI will Enhance Compliance Efforts

“With the rise of the digital thread, AI and machine learning tools are vital for synchronizing and unlocking the value of product data. The US Bureau of Economic Analysis reported that investments in AI and ML technologies for manufacturing processes, including PLM, grew by 23% last year and will continue to ramp up for years to come.

AI can establish traceability across domains, ensuring compliance with regulations like the Digital Product Passport (DPP), a digital record containing detailed info about a product’s entire lifecycle. In 2025, companies that fail to prepare for evolving compliance standards risk falling behind.”

Growth of Mass Personalization and Customization

“While product personalization is widespread in many spaces like fashion and consumer packaged goods, mass personalization is finally expanding into the manufacturing industry. To enable this, companies are shifting from engineer-to-order (ETO) to configure-to-order (CTO) models to help customers select products that are tailored to their specific needs and preferences.

CTO models leverage variant management tools to handle design complexity and streamline supply chain processes. Best-of-breed tools integrate customer preferences into early product development stages, maximizing reuse of common elements across all phases of the digital thread.”

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