Intelligent Production Excellence

Man looking at a digital dash board on a PC monitor

In today’s automotive industry, achieving operational excellence with smart manufacturing requires more than simple factory automation. To be able to shift in response to fluctuating consumer demand and regulatory activity, automotive manufacturers need to add agility and flexibility to their production processes. Many industry leaders have already incorporated innovative technologies like artificial intelligence (AI) and machine learning (ML) into their operations. Still, some have not yet realized the potential value of the data they are generating. With Siemens Digital Industries Software smart manufacturing solutions, production and quality issues can be addressed automatically and in real-time using edge-based automation, the industrial internet of things (IoT), and closed-loop manufacturing to reduce cost, maximize throughput, and visualize the flow of value from end to end.

In today’s automotive industry, achieving operational excellence with smart manufacturing requires more than simple factory automation. To be able to shift in response to fluctuating consumer demand and regulatory activity, automotive manufacturers need to add agility and flexibility to their production processes. Many industry leaders have already incorporated innovative technologies like artificial intelligence (AI) and machine learning (ML) into their operations. Still, some have not yet realized the potential value of the data they are generating. With Siemens Digital Industries Software smart manufacturing solutions, production and quality issues can be addressed automatically and in real-time using edge-based automation, the industrial internet of things (IoT), and closed-loop manufacturing to reduce cost, maximize throughput, and visualize the flow of value from end to end.

Car chassis hanging in a production line, while a factory worker is working on it.

Learn More

The brains of intelligent automotive production

The manufacturing execution systems (MES) act as the brains of the smart factory by connecting people, processes, and machines to provide visibility, improve operational execution, and maximize performance. Also known as manufacturing operations management (MOM), the MES promotes a digital backbone that runs through the entire ecosystem to supply stakeholders with end-to-end access to all data. This data intelligence can be fed into the digital twin of manufacturing, enabling a closed-loop feedback system that drives continuous improvement, predictive maintenance, and advanced energy management. The MES also streamlines process plans, scheduling, and the execution of work orders through the electronic delivery of instructions in real-time to the shop floor. Advanced production intelligence through a manufacturing execution solution ensures that manufacturers build the right parts at the right time with the right equipment.

Manufacturing excellence through closed-loop quality

The achievement of world-class quality is the most critical and challenging component of operational excellence in automotive manufacturing. The key to producing high-quality products consistently is the access to predictive insights through a constant two-way flow of information. Closed-loop quality (CLQ) is a digital approach that evaluates product quality at each stage and feeds the data back into the production and design processes. This continuous loop confirms the quality of the current product while generating insights to improve the quality of future production. A self-organizing “live twin” merges the virtual and physical worlds to provide faster access to corrective actions throughout the production process. Siemens’ holistic smart manufacturing approach includes a closed-loop quality solution to ensure manufacturers continuously produce high-quality and compliant products to succeed in the most aggressive automotive market to date.

Car chassis hanging in a production line, while a factory worker is working on it.

Solutions