Industry, with the mechanical and plant engineering, automotive and electrical industries, is under pressure to move forward. They are confronted with various challenges such as globalization, competition and price pressure. There is also an increasing demand for more flexible production and product individualization. Optimizing the value chain is essential to master these challenges, but for this to succeed, the efficiency of all components must be well coordinated and optimized. This puts all economic development, production and logistics processes to the test as part of digitization.
To this end, existing processes are networked and all product, machine and process data is recorded. An optimized industrial value chain is networked, intelligent, controls and optimizes itself to some extent independently and is therefore resource-efficient. The increasing degree of specialization in the industrial value chain is leading to even closer dovetailing between the upstream and downstream areas of manufacturing.
Optimizations around the value chain
Al and machine learning bring many benefits to manufacturing use cases, including:
- Product research, development and production
- Inventory management
- Process and quality control
- Predictive maintenance
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- existing manufacturing applications: These include computer-aided design (CAD) and computer-aided engineering (CAE), production planning, and supply chain applications.
- New AI applications: These include analytics and AI software that support operations and production, including production data analytics, intelligent inspection, predictive maintenance, industrial video analytics, intelligent customer interactions, resilient and optimal supply chain operations, and digital twins of factories, warehouses, and processes.
- Emerging AI infrastructure: this includes software and hardware to support the creation, tuning, and deployment of AI applications in manufacturing enterprises support.
Involvement of all corporate divisions
Customer processes
- Invoicing and receivables management
- Customer ordering and consumption behavior
- Customer interaction in order processing
Warehouse processes
- Supply chain management from demand planning to material supply and storage to goods delivery of the finished product.
- Automation and digitization of logistics
- Warehouse organization, management and inventory management
- Increased productivity through higher asset utilization
Transformation of manufacturing from design to deployment as well as STOCK LOGISTICS
IT Enterprise Architecture
- Process automation and digitalization
- Utilization of recorded production data to increase efficiency
- Utilization of machine data from data evaluation to service life
- Increased production efficiency and process reliability.
Manufacturer processes
- Value stream design and store floor management
- Lead times and batch sizes
- Increased transparency of machine and system conditions to improve product quality, fail-safe maintenance, and supply chain optimization.
- Increased production efficiency
- Increased manufacturing accuracy through more efficient machines.
- Lower failure rates of machine components
- Process automation through data evaluation and use
- Optimized maintenance and servicing of production machinery and equipment
- Reduced downtime and stoppages
Supplier processes
- Working capital management
- Supply and delivery models
- Supplier interaction in order processing
- Optimization of demand planning
Distribution processes
- Inventory management and stock clearing
- Logistics and optimization of transportation
- Load carriers, warehouse management and inventory management
Ihr Mehrwert
Kleine und mittlere Unternehmen (KMU) verfügen oft über keinen ausreichenden Zugriff auf Data-Science-Spezialisten und Experten für maschinelles Lernen. Beim Angehen dieser Herausforderungen können die bereits vorliegenden Hard- und Software-Löungen und Plattformen von NVIDIA unterstützen.
Mithilfe von KI und ML lassen sich diesbezüglich ganzheitliche und abteilungsübergreifende Analysen fahren: In die Berechnung der Absatzmenge eines bestimmten Produkts und der dafür nötigen Ressourcen fließen in diesem Zusammenhang nicht nur die bestehenden Lagerbestände mit ein. Das System wertet auch vorhandene Bestände bei den Zulieferern aus sowie zur Verfügung stehende Kapazitäten in der betrieblichen Logistik und Belegschaft.
Die derzeitige Fertigungsinfrastruktur ist kostspielig im Unterhalt, schafft Barrieren für die Verteilung von Daten, lässt sich schlecht mit anderen Systemen integrieren und hindert Unternehmen daran, die Vorteile der Digitalisierung zu auszuschöpfen. Der erfolgreiche Übergang zur intelligenten Fabrik erfordert die Einführung neuer Technologien, die veraltete vorliegende und bereits eingesetzte Systeme mit modernen neuen Systemen integrieren kann.
DIGITAL TWINS in NVIDIA OMNIVERSE ENTERPRISE
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NVIDIA L40®
The NVIDIA L40 GPU, based on the Ada Lovelace architecture, delivers revolutionary neural graphics, virtualization, compute, and AI capabilities for GPU-accelerated workloads in the data center.
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Solutions AROUND your value chain
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NVIDIA platforms
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NVIDIA Fleet Command™
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NVIDIA RTX™ platform for visual computing
The NVIDIA RTX™ visual computing platform, accessible from physical or virtual workstations running NVIDIA's virtual GPU(vGPU) software, enables companies to achieve breakthrough innovations in product development and bring new products to market faster with the power of photorealistic visualization, real-time simulation, AI, and additive manufacturing.
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NVIDIA AI™-Enterprise
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data science applications and frameworks optimized and exclusively certified to run on VMware vSphere with NVIDIA-certified systems. It includes key NVIDIA technologies and software for rapidly deploying, managing and scaling AI workloads in the modern hybrid cloud. NVIDIA AI Enterprise is licensed and supported by NVIDIA
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Accelerated Edge Computing
Accelerate the most powerful edge computing systems with NVIDIA EGX and Jetson™ solutions for various applications, including industrial inspection for autonomous machines.
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NVIDIA Omniverse™
NVIDIA Omniverse™ is an open platform for virtual collaboration and real-time photorealistic simulations. Designers and engineers can accelerate their work with hassle-free interoperability of leading software tools and seamless collaboration in an interactive, simulated world. Stunning, high-fidelity models based on NVIDIA RTX™ can be shared instantly on any device.