Inovação e gerenciamento de programa sincronizado e colaborativo para novos programas
To meet the demands of today’s automotive industry, most manufacturers have begun implementing a smart manufacturing approach into their operational strategy. However, managing the massive quantity of data generated during intelligent production presents another challenge. An advanced manufacturing execution system (MES) takes control of plant operations by acting as the fundamental bridge between the enterprise business systems (ERP), the product lifecycle management (PLM) system, the quality management system (QMS), and plant automation. With MES as part of our Smart Manufacturing solution, performance in the plant is reflected in real time which enables manufacturers to make better decisions, improve quality, ensure compliance, and meet business targets.
To meet the demands of today’s automotive industry, most manufacturers have begun implementing a smart manufacturing approach into their operational strategy. However, managing the massive quantity of data generated during intelligent production presents another challenge. An advanced manufacturing execution system (MES) takes control of plant operations by acting as the fundamental bridge between the enterprise business systems (ERP), the product lifecycle management (PLM) system, the quality management system (QMS), and plant automation. With MES as part of our Smart Manufacturing solution, performance in the plant is reflected in real time which enables manufacturers to make better decisions, improve quality, ensure compliance, and meet business targets.
Automakers and suppliers have found that a smart manufacturing approach can harness rising production complexity to drive quality and profitability into their operations. At the heart of our Smart Manufacturing solution is the MES. The MES provides real-time production visibility on the line, creates a connection between the automation layer and the line operators to execute the BOM correctly, and supports just-in-time/just-in-sequence/Kanban strategies. The MES also collects, organizes, and shares the data generated by processes, the supply chain, and new technologies like artificial intelligence (AI) and machine learning (ML). This data intelligence can be fed into the digital twin of manufacturing to create a closed-loop feedback system that drives continuous improvement, predictive maintenance, and advanced energy management.
Siemens MES systems collect, connect, and unlock value from the data generated by smart manufacturing processes. Because every manufacturer is unique, our MES is a hybrid solution that can be customized, scaled, and deployed on-premises, in the cloud, or at the edge. It has an open ecosystem that enables all stakeholders to communicate seamlessly, including partners, suppliers, and customers. It provides an efficient interface between IT and OT for fast data exchange and the flexibility to manage autonomous operations from any device and location. In today’s automotive industry, leading manufacturers will not be the ones who generate the most data but the ones who transform their data into a digital backbone that runs through the entire organization to ensure flawless launches and profitable production.