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Software Defined Manufacturing enabled by Intelligent Production Equipment - only a future vision? Not with BMG! We have already laid the groundwork for Software Defined Manufacturing with our AI powered digital engineering portfolio.
BMG connects all engineering disciplines through an end-to-end digital approach – from concept to operation. Model-based Systems Engineering (MBSE) provides a unified data backbone linking mechanics, electrics, and software, forming the basis for Digital Twins. These virtual models enable early validation, virtual commissioning, and rapid adaptation to design or process changes. With AI-driven engineering tools and seamless field-data integration, equipment becomes intelligent, self-optimizing, and predictive in operation. The result is Intelligent Equipment – flexible, data-driven, and software-defined. This reduces development time, increases equipment availability, and ensures long-term manufacturing competitiveness.
Up to 20% efficiency gain in all engineering domains
Digital twin of production equipment on machine level, by bringing together geometrical, physical, electrical, and control system models.
BMG machines gather and provide structured machine-internal data, enabling powerful AI-enhanced analytics to extract actionable insights.
Analysis of operational data from equipment (‘field data’) enables ?
Up to 50% shorter software development time
Up to 25% cost reduction in engineering
Higher software quality through automation of repetitive tasks
Greater code standardization and serviceability