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ABB Survey Identifies Smart Factories As Key To Transitioning To Mixed Manufacturing Of ICE, Hybrid, And Electric Vehicles
The automotive industry is rapidly embracing advanced manufacturing technologies to manage the shift towards mixed production of internal combustion engine (ICE), hybrid, and electric vehicles. Industry leaders see artificial intelligence (AI), robotics, and automation as crucial in overcoming current challenges. ABB Robotics' latest survey, conducted with Automotive Manufacturing Solutions, highlights the importance of transitioning to "Smart Factories" for global manufacturers and suppliers.
"Automotive manufacturers are acutely aware that advanced robotics, Artificial Intelligence and digital twinning technology are positive drivers of change," said Joerg Reger, Managing Director of ABB Robotics Automotive Business Line. "Together, these technologies are forming the building blocks of ‘Smart Factories’ which will help carmakers introduce new models more quickly and cost-effectively, while greatly reducing energy consumption and costs and meeting sustainability targets."
Flexible manufacturing is seen as essential for managing the complexities faced by carmakers. This approach allows manufacturers to assemble different powertrains at a single site while adapting to fluctuating demands for various vehicle types. Over the next five years, 84% of survey participants believe flexible manufacturing will play a significant role in vehicle production.
"Flexible manufacturing is essential when it comes to managing the very real complexities, as well as financial commitments, many carmakers currently need to tackle, and is an approach ABB Robotics has pioneered for our customers," adds Reger. "The ability to quickly add extra and different assembly capacity as a module – when customer demand for a particular model suddenly increases or a new powertrain is available – without disrupting production or requiring significant capital expenditure remains vitally important."
The survey revealed that 64% of respondents anticipate increased use of autonomous mobile robots (AMRs) in automotive manufacturing. Additionally, 57% expect more collaborative robots (cobots) will work alongside humans for repetitive tasks. Generative AI and software are also seen as transformative, with 82% agreeing they can reduce costs and improve quality.
The adoption of digital twinning technology is expected to rise significantly, with 73% predicting greater uptake. This technology allows manufacturers to simulate processes digitally before implementing them physically, enhancing efficiency and reducing errors.
Challenges in Implementing New Technologies
Despite enthusiasm for smart factories, challenges remain. High initial costs were cited by 54% of respondents as a major barrier. Technical issues (35%), cybersecurity concerns (32%), workforce adaptation (32%), and a lack of skilled employees (28%) were also highlighted as obstacles.
"The industry is positive about change and understands in detail which technologies offer the best solutions with autonomous mobile robots, cobots and AI featuring very prominently," said Daniel Harrison, chief analyst for Automotive Manufacturing Solutions. "But as we move to automotive smart factories the human factor can’t be ignored, concerns over workforce adaption and a perceived lack of employees skilled in IT were again highlighted by respondents."
ABB Robotics' Innovations in AI Integration
ABB Robotics continues integrating AI with robotics by focusing on natural language programming development. In 2024, T-Robotics and Mbodi won ABB's AI Start-Up Challenge. T-Robotics facilitates natural conversation while maintaining precision; Mbodi’s platform enables robots to learn new tasks through spoken language.
Advancements are also being made in autonomous planning capabilities using VSLAM technology. ABB AMRs equipped with this technology can navigate autonomously within manufacturing environments while performing tasks like inventory tracking.
The automotive industry's shift towards smart factories involves adopting advanced technologies like AI-powered robots and flexible manufacturing systems. While these innovations promise efficiency gains and cost reductions, challenges such as high initial costs and workforce adaptation remain significant hurdles that need addressing.
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