Handling and production logistics
Success in the fast lane with AMR
As a provider of autonomous mobile robots (AMR) for the BMW Group, Idealworks is consolidating its position as an automotive expert and driving the industry forward with modern technology. In a success story that spans multiple BMW Group plants, Idealworks is transforming the logistics landscape and increasing efficiency, flexibility and safety in equal measure.
The collaboration between Idealworks and the BMW Group is not only a testament to their shared history, but also a pioneering development that sets standards in the automotive industry, according to the two companies. This partnership enables a deep understanding of the Group's specific needs and challenges, resulting in customized solutions that promote operational excellence. Idealworks' expertise in the automotive industry enables the company to anticipate the BMW Group's requirements and deliver innovative, reliable solutions that contribute to its success.
BMW logistics in the spotlight
The implementation of the Idealworks robotics ecosystem at BMW Group plants is playing a key role in driving public awareness of BMW's logistics capabilities. The successful introduction of Idealworks technology in major production facilities such as Regensburg, Dingolfing, Munich and Spartanburg (USA) underlines its influence. In addition, there are already plans for further deployments in the production network, including Steyr (Austria), Hams Hall (UK) and Leipzig.
The BMW Group's commitment to using the latest technologies is reflected in its reliance on Idealworks' robotics ecosystem. By opting for AMR instead of automated guided vehicles (AGVs), the Group has established itself as a pioneer in the industry. The benefits of AMR are evident in mixed traffic and brownfield facilities, where flexibility and adaptability are paramount. Idealworks' AMRs navigate seamlessly through these complex environments, ensuring efficiency and safety.
Peter Kiermaier, Head of Logistics Planning Plants Dingolfing & Debrecen, Industrialization Innovations, BMW Group, confirms: "Idealworks' robotics ecosystem has revolutionized our logistics operations at the BMW Group. Their advanced solution portfolio and expertise have contributed to remarkable improvements in efficiency, flexibility and safety in our plants, setting new standards in the industry and leading the Group to even greater success." Beyond providing AMR, Idealworks and the BMW Group are working closely together to integrate third-party devices, including mobile robots, into the robotics ecosystem. This strategic partnership will enable the BMW Group to further optimize its operations, streamline processes and maximize productivity. By leveraging Idealworks' expertise in the automotive industry and beyond, the Bavarian automotive group gains a competitive advantage and can more easily adapt to changing market demands.
The technology from Idealworks has a considerable presence here: Almost 600 iw.hubs are in operation at BMW Group plants. The intelligent AMRs carry out around 30,000 orders every day and cover great distances to deliver important components and optimize work processes. The volume of missions and kilometers covered is proof of the efficiency and reliability of Idealworks' robotics ecosystem.
Reliable with 98 % availability
One of the key performance indicators is the availability of the Idealworks solution: at 98%, the BMW Group benefits from the constant performance of the AMR. This high rate ensures uninterrupted operation and minimizes downtime while maximizing productivity. The success story of the robotics ecosystem at BMW Group plants is a testament to innovation, collaboration and technological expertise. By choosing AMR for its highly complex production environment, the BMW Group has opted for a solution that increases the efficiency, flexibility and safety of its logistics operations. With their shared history and commitment to innovation, the Munich-based companies continue to shape the automotive landscape and drive the industry forward.
This article appeared in issue 10/23










