In today's challenging automotive landscape, achieving operational excellence with smart manufacturing requires more than data generation. Our Intelligent Production Excellence solution automatically addresses real-time efficiency and quality issues using sensors, edge-based devices, the IoT (Internet of Things), artificial intelligence (AI), and low-code applications that work together seamlessly.
By creating a complete loop of communication in the plant, automotive manufacturers can establish a self-organizing production environment in which manufacturing lines can essentially manage themselves. These processes help our customers reduce costs, improve productivity, ensure cybersecurity, and drive high quality from launch through production.
Siemens Intelligent Production Excellence solution enables advanced technologies, data-driven insights, and innovative practices to optimize automotive manufacturing processes for higher efficiency, quality, and agility.
Our solution involves technologies such as IoT devices, sensors, data analytics, artificial intelligence, machine learning, digital twin simulations, robotics, additive manufacturing (3D printing), and advanced automation systems.
By leveraging real-time data, predictive analytics, and automation, intelligent production excellence can identify and address inefficiencies, reduce downtime, optimize scheduling, minimize waste, and enhance resource utilization. This leads to increased production efficiency and higher output.
By optimizing processes and reducing waste, intelligent production excellence can lead to more sustainable resource use, lower energy consumption, reduced emissions, and overall environmentally friendly manufacturing practices.
Examples include BMW's use of IoT and data analytics to enhance production efficiency and Audi's utilization of digital twin technology to streamline manufacturing processes.