Digital Transformation with Immersive Technology: A Journey with Julian Hermle from CMC Engineers GmbH

In this episode of the DigitalituM Podcast, I sit down with Julian Hermle, Founder and CTO of CMC Engineers GmbH, to discuss the role of immersive technology, especially Virtual Reality (VR), in manufacturing. Julian shares his professional journey, the development of CMC Engineering’s CMC ViewR software, and the pivotal role of 3D visualization in product development and stakeholder communication.

CMC Engineers: The Beginnings and Mission

Julian began his career at Porsche and developed his interest in VR technology during his time at Mercedes-Benz, where he helped establish a VR service center. In 2014, he co-founded CMC Engineers GmbH with a vision to make VR technology accessible to small and medium-sized enterprises.

CMC ViewR: 3D Visualization of Complex Machinery

CMC ViewR, CMC’s flagship product, enables the 3D visualization of complex machinery and manufacturing equipment. Julian describes how the initially expensive system evolved into an accessible subscription-based model tailored for SMEs. The software allows companies to import CAD files and visualize them in VR.

Faster Product Development through 3D Visualization

CMC ViewR significantly enhances product design efficiency by identifying potential issues early and accelerating decision-making. Julian shares success stories from the construction machinery sector, where clients transitioned from prototype to production without major adjustments.

Engaging Stakeholders through Immersive Experiences

CMC ViewR helps bridge the communication gap between technical and non-technical stakeholders, illustrating spatial dimensions and product complexity in a way that 2D screens or brochures can’t achieve.

From Trade Shows to Digital Sales

CMC ViewR is also increasingly used in marketing and sales, with companies using the technology to showcase products at trade shows and in customer meetings, significantly simplifying logistics.

The Future of Immersive Technology and AI in Manufacturing

Julian shares his vision for the future of immersive technologies and emphasizes the role of AI and automation in advancing 3D modeling. He sees increasing integration of AI with 3D worlds, automating routine tasks in modeling.

Conclusion: A Partnership for Digital Transformation

In closing, Julian reaffirms CMC Engineers’ commitment to supporting small and medium-sized manufacturers in adopting immersive technology. I invite all listeners to experience CMC ViewR through DigitalituM’s partnership and take a step into a digital future for manufacturing. Be sure to check out the full episode!

Further Links:

• DigitalituM LinkedIn page: https://www.linkedin.com/company/digitalitum/
• Markus’s LinkedIn page: https://www.linkedin.com/in/markusrimmele/
• CMC Engineers GmbH Website https://www.cmc-engineers.de/en
• Julian Hermle on LinkedIn: https://www.linkedin.com/in/julian-hermle-951aa6145/
• CMC Engineers GmbH on LinkedIn: https://www.linkedin.com/company/cmc-engineers-gmbh

Unlocking Business Efficiency: The Role of AI Solutions in Smart Manufacturing

In the rapidly evolving landscape of smart manufacturing, Artificial Intelligence (AI) is emerging as a pivotal force driving business efficiency and digital transformation. Industries worldwide are witnessing a shift as AI solutions become integral to streamlining operations, enhancing productivity, and fostering innovation. The impact of AI technology is profound, as it enables manufacturers to optimize processes, reduce costs, and improve product quality. This document delves into AI’s significant role in smart manufacturing, highlighting real-world examples of its success and exploring the strategic frameworks that ensure its effective implementation. As we embark on this journey, we’ll uncover how AI strategies are reshaping industries, offering unprecedented opportunities for growth and competitiveness in the digital age.

The AI Revolution in Smart Manufacturing

Opportunities Across Business Functions

AI technology offers vast opportunities across various business functions within smart manufacturing. By streamlining operations, AI solutions enhance both top-line growth and bottom-line efficiency. For instance, Gibson Guitars increased their email revenue by 50% in the first year of implementing an AI solution from SAP. Similarly, Chobani achieved a 75% reduction in time spent on travel expense management. These examples highlight the tangible benefits AI brings to diverse business areas.

Moreover, AI enables predictive maintenance, which minimizes downtime and extends equipment life by analyzing real-time data and anticipating failures before they occur. AI optimizes supply chain management in logistics by predicting demand and adjusting inventory accordingly. By embracing AI strategies, manufacturers can improve productivity, reduce costs, and maintain high product quality. As AI continues to evolve, its potential to revolutionize business functions in manufacturing will only grow, offering a strategic advantage in a competitive market.

AI Solutions in Real-world Applications

AI solutions transform smart manufacturing by offering practical applications that significantly enhance business efficiency. For example, AI-powered predictive analytics can forecast machine failures, reducing maintenance costs and downtime. This approach allows companies to conduct maintenance only when necessary, optimizing resource allocation.

Furthermore, AI in quality control is proving invaluable by detecting defects in products much faster than traditional methods. This not only improves product quality but also reduces waste and operational costs. In logistics, AI optimizes routing and scheduling, ensuring timely delivery and minimizing fuel consumption.

Companies like Mercedes-Benz and Chobani already leverage AI to revolutionize their manufacturing processes. Mercedes-Benz employs AI for process automation, enhancing production efficiency and product quality. Meanwhile, Chobani uses AI to streamline its financial operations, demonstrating AI’s versatility across business functions. These real-world applications underscore AI’s transformative potential in enhancing productivity and competitiveness in the manufacturing sector.

David Zimmer – SAP Labs in his keynote

The 3R Strategy: Relevant, Reliable, Responsible

The 3R Strategy—Relevant, Reliable, Responsible—serves as a crucial framework for deploying AI solutions. Ensuring relevance means AI solutions must address genuine business needs, providing tangible benefits rather than being implemented for novelty’s sake. This approach maximizes AI’s impact in business by focusing on areas where it can genuinely enhance efficiency and productivity.

Reliability is equally important, as AI solutions must function consistently with minimal errors. For large enterprises like Mercedes-Benz, reliability ensures business continuity and fosters trust in AI technologies. Reliable AI systems can be counted on to deliver results, reinforcing their value in smart manufacturing.

Lastly, responsibility involves adhering to ethical standards, including data privacy and AI ethics. This ensures that AI technologies do not compromise user privacy or fairness in decision-making. By embodying these principles, businesses can deploy AI solutions that are both effective and ethically sound, fostering long-term success and trust.

The 3R Strategy: Relevant, Reliable, Responsible

DigitalituM: Your Go-To for IOSS Data Matrix Code Readers and Verifiers in North America

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#IOSS is renowned for its expertise in addressing challenging use cases, especially those where data matrix codes are difficult to read on various surfaces and lighting conditions. With its built-in AI, the IOSS #DMR410 is designed to ensure that the reader never needs to be re-taught again.

Why Earning a Certified Maintenance Manager (CMM) Certification is Crucial

Through my volunteer work with the Reliability Leadership Foundation and their Digitalization Consortium for Reliability and Asset Management, I have earned the necessary Continuing Education Units (CEUs) to renew my Certified Maintenance Manager (CMM) certification. This certification is accredited by the Association of Asset Management Professionals and is highly beneficial if you are in the maintenance business for a manufacturer or on the field service side for a machine builder, OEM, or system integrator.

I highly recommend this certification as it not only validates your expertise but also sharpens your skills in digital transformation of maintenance processes. Engaging with the Reliability Leadership Foundation and the Consortium provides an excellent platform to stay updated on the latest trends and advancements in digitalization for reliability and asset management.

Additionally, I would like to highlight that at DigitalituM, we offer digital tools in AR/VR and IoT to make maintenance tasks more accessible and provide you with the information you need right at the location!

DigitalituM at The Reliability Conference on May 14 & 15, 2024 in Seattle: Practical Insights into Digital Solutions

The Reliability Conference is a key event for professionals in the manufacturing and asset management industry focusing on asset reliability. Markus Rimmele from DigitalituM will share his expertise in two significant sessions centered on digital solutions for reliability and asset management.