Siemens and IFS partner on industrial AI for factories

Key Takeaways

• Siemens and IFS have partnered to integrate engineering data with operational data using industrial AI
• The partnership aims to address gaps in factory design and day-to-day operations, including unplanned downtime and supply chain disruption
• Industrial AI is a central part of the partnership, connecting design data with operational performance data
• The partnership combines Siemens' expertise in industrial AI, engineering, and automation with IFS' capabilities in enterprise asset management and field service

Introduction to Industrial AI Partnership

Siemens and IFS have announced a strategic partnership to help manufacturers optimize their operations by connecting engineering data with operational data across the product lifecycle using industrial AI. This collaboration brings together Siemens' expertise in industrial AI, engineering, automation, and manufacturing execution with IFS' capabilities in industrial AI, enterprise asset management, and field service.

Focus on Manufacturing Operations

Manufacturers face increasing pressure to boost output from existing assets, manage margins, extend equipment life, and respond quickly to changing conditions. However, many still rely on separate systems for production, maintenance planning, and supply chain management, limiting coordination between engineering, operations, and service. The Siemens-IFS partnership aims to address these challenges by providing a comprehensive solution that integrates data from design to operation.

Role of Industrial AI in Manufacturing

Industrial AI plays a crucial role in the partnership, as it enables the connection of design data with operational performance data. This allows manufacturers to compare engineering plans with actual operating conditions and use that information to inform future design and production decisions. Siemens' digital twin technology provides engineering, simulation, and manufacturing context, while IFS provides service history, asset performance, and lifecycle data. The combination of these inputs supports a digital twin that links design intent with field performance across design, simulation, service records, and factory execution.

Comparison of Industrial AI Solutions

Industrial AI Requirements for Manufacturing

Industrial AI systems for manufacturing must meet specific requirements, including accuracy, reliability, regulatory compliance, and adaptability. These systems can significantly impact safety, compliance, and physical assets, making it essential to ensure they are designed and implemented with these considerations in mind.

Bottom Line

The partnership between Siemens and IFS has the potential to revolutionize the manufacturing industry by providing a comprehensive solution that integrates engineering data with operational data using industrial AI. By addressing gaps in factory design and day-to-day operations, manufacturers can optimize their production, reduce downtime, and improve supply chain management. With the combined expertise of Siemens and IFS, manufacturers can leverage industrial AI to inform design and production decisions, ultimately leading to increased efficiency, productivity, and competitiveness.