What do companies like Amazon, AT&T, BMW, Ericsson, Foxconn, GM, KrogerKR, Lowe's, Mattel, Pepsico, Siemens, Sony, and Universal Robots have in common? According to a Forbes report, they all rely on NVIDIA's latest and preeminent digital twin modeling technology. Using NVIDIA Omniverse, NVIDIA's scalable multi-GPU real-time reference development platform for building and running Metaverse Applications™, developers, researchers and enterprises can design, simulate and optimize products, assets and processes in real time. This offers the advantage of being able to perfect them in the digital twin before they even go into production or development. NVIDIA Omniverse is based on Pixar's Universal Scene Description and NVIDIA RTX Technology™ and helps achieve key business goals such as throughput improvements, optimization of production, warehouse processes and warehouse logistics, reduction of downtime, reduction of energy consumption, optimization of warehouse design and operations, intelligent robotics support, and cost reduction

Digital twins

Digital twins are simulations of industrial plants, processes, or environments and areas essential prerequisites for successful production automation as well as robotics deployment. They operate in real-time and are physically accurate, with real-world physics, materials, lighting, rendering, and behavior. They are both AI-enabled and AI-enabled, ensuring that smart devices, embedded with advanced perception, reasoning, and recommendation capabilities, can interact with our physical world and make recommendations and autonomous decisions based on the laws of physics.
Digital twins enable productivity and process improvement to be accelerated across the entire production and product lifecycle. They help test and optimize production lines. In addition, a digital twin enables optimal profitability planning, which improves decision-making in the planning phase as well as efficiency across the entire value chain.

In terms of warehousing, a digital twin allows for a physically accurate real-time simulation consisting of the digital representation of real objects, processes and systems within the warehouse. This includes the building infrastructures, floor conveyors, inventory, traffic controls, robots, and basically everything that is available in or interacts with the warehouse environment.

In addition, the warehouse's digital twin can provide real-time connections to data streams from Internet of Things (IoT) devices, warehouse management system (WMS) data sets, and other data sources that enable real-world connectivity.

By building a digital twin for your warehouse, you can perform virtual system testing and measure performance improvements expected from layout changes, software optimizations or upgrades before integrating a change into the physical environment. This can play a key role in avoiding system downtime or performance degradation in the physical twin.

Digital twins offer significant business value for warehouse implementations of any scale. The complexity of these warehouses ranges from small, primarily manual operations to large facilities equipped with sensors and automation.

Bearing functions, requirements, challenges and venture

To increase operational efficiency, provide a safe environment and working conditions, and enhance security, companies are increasingly turning to the use of digital twins.

each warehouse has its own individual opportunities for improvement and optimization, yet some warehouse functions and basic requirements needed to support those functions can be standardized. A warehouse is used to store products or inventory that must be stored and moved within the environment. Depending on the type of inventory, products may need to be packaged prior to shipment. Basic infrastructure is required to support these warehouse functions, including a building, machinery and tools. Warehouse operations can be manual and rely on warehouse workers, or they can be fully autonomous or hybrid, with humans and machines working together. Some operations can also be triggered by supply chain-connected software and/or systems.

In addition to these capabilities, the overall functions of a warehouse may be threatened by some challenges and risks, such as labor shortages, supply chain disruptions, business interruptions, natural disasters, and space constraints.

Application examples for the use of digital twins

Optimizing design and flow enables warehouse owners or operators to maximize warehouse capacity, increase throughput, and minimize space, equipment, and labor required to perform business operations. Here are some examples of use cases to meet these needs:
  • Spatial design and optimization support overall warehouse operations and continuous product circulation.

  • Design and optimization of traffic flow for employees, machines and robots for safe circulation in a warehouse environment.

  • Design and optimize the end-to-end flow process of products and the necessary machines, robots and people to perform the operation.

  • Optimizing the use of space and maximizing the storage capacity of a warehouse.

  • Monitor, analyze, predict, and adjust traffic flow design based on fluctuating warehouse productivity.

  • Designing a warehouse layout that is adaptive and adjustable based on fluctuations in demand.

  • Design and validate optimal lighting to support various warehouse operations.

  • Design and validate proper ventilation flow.

  • Predicting potential bottleneck scenarios and then designing and validating mitigation plans.

Increasing automation is another way to maximize operational efficiency. It can be used to activate various functions within a warehouse, including but not limited to:
  • Inspection and detection of product defects.

  • Identifying products to be picked or assembled for an order.

  • Inspecting assembled orders for accuracy (quantity and type).

  • Applying appropriate gripping force based on the physics of each product.

  • Adjusting packaging methodology/material/protection based on physical characteristics of products.

  • Automation of the packaging process

  • Picking and placing products.

  • Transporting inventory in optimized routes.

To minimize the operating costs of a warehouse, examples of use cases include:

  • Increase energy efficiency by optimizing operations.

  • Optimize operations and the number of employees.

  • Reduce inventory damage.

Providing a safe environment and working conditions is another important business objective and requirement set by government agencies such as OSHA. When examining the main causes of workplace accidents in a warehouse, here are some examples of use cases to increase safety:

Reduction of human error:

  • Monitor proper operation of heavy equipment

  • Monitor the wearing of appropriate safety equipment in designated areas.

Slips and trips:

  • Evaluate the visibility of warning tapes and hazard signs

  • Optimize lighting intensity and coverage.

Falling objects:

  • Perform an earthquake safety assessment of the facility.

  • Design and evaluate navigation routes around highly dynamic and fast-moving locations.

Fire:

  • Plan and ensure compliance with storage exhaust space.

  • Optimize the placement of portable fire extinguishers.

  • Plan and evaluate evacuation routes.

Contaminants:

  • Design chemical storage areas and evaluate spill monitoring and containment capabilities.

  • Design "first aid stations" and simulate various scenarios to optimize design.

  • Design and evaluate evacuation routes based on various scenarios.

Safety Education & Training:

  • Train employees how to move and store heavy materials - and the equipment used to move them safely.

  • Train employees on how to use machinery.

  • Train employees on warehouse accident protocols.

Generally, all things designed and built by humans are first built in a virtual world. Many iterations of a design can be quickly tested in the virtual world at a fraction of the cost. Once the digital version of the product is complete, the physical product is created. In most cases today, that's the end of the road for the digital version. But when the digital is connected to the real, they can evolve together. Data can be collected from the physical twin via IoT sensors and devices and fed into the digital twin to keep them perfectly in sync.

When a 3D asset or environment becomes a living digital twin, it allows us to switch to any part of the digital twin, just like in a video game, and examine any aspect of it that is reflected in the real world. Simulations can also be performed to predict the near future or test many possible variant to choose the optimal one.

In detail, here are some important advantages of creating digital twins for bearings, which may vary depending on the use case:

Accelerate innovation:
  • Test business cases for new technologies faster and more accurately

  • Customize the operation of autonomous robots and continuously train, test, and optimize them.

  • Accelerate and minimize upfront investments during the design and evaluation of new operations and/or processes.

Activate safe operation:
  • Test and mitigate safety concerns, including corner cases.

  • Evaluate job safety for planned or implemented warehouse operations.

  • Enable a safe training environment for operating heavy machinery.

Enable continuous monitoring:
  • Provide a holistic monitoring capability of the entire warehouse operation that is visual, interactive, modular and customizable granular.
Enable agility and adaptability:
  • Accelerate the redesign, validation, and implementation of warehouse operations due to maintenance and/or equipment outages, changes in business requirements, and response to emergencies and natural disasters.

  • Efficiently scale operations based on demand and/or seasonal changes

Eliminate interruptions:
  • Enable incremental upgrades for new designs, workflows, and operational processes.

  • Enable and accelerate operational and/or mechanism changes due to equipment failures

  • Enable software-in-the-loop testing.

Minimizing operating costs:
  • Optimize personnel planning

  • Increase energy efficiency

  • Minimize waste from inefficient warehouse operations and/or inventory damage.

Optimization of capital investment:
  • Optimize fleet size and material handling equipment needed to support warehouse operations.

  • Optimize space allocation and utilization to support business needs

Risk minimization
  • Enable data-driven decisions

  • Test and validate all plans before executing them in the physical world

Digital Twin simulation areas

WHAT is Omniverse

NVIDIA Omniverse is a cloud-native, multi-GPU platform that enables scalable remote collaboration with true real-time performance for teams working across locations, applications and systems. According to NIVIDA, "Omniverse is an extensible platform based on Universal Scene Description (USD) that enables individuals and teams to create custom 3D pipelines and simulate large virtual worlds. From early-stage concept ideas to intelligent factory automation and robotics, Omniverse seamlessly connects all people and resources in the process.

  • Omniverse Nucleus Cloud - gives 3D designers and teams the freedom to collaborate and access a shared 3D scene and data based on the Universal Scene Description (USD). Nucleus Cloud allows any designer, creator or developer to save, share changes, make live edits and view changes in a scene from almost anywhere.
  • Omniverse App Streaming - allows users without NVIDIA RTX™ GPUs to stream Omniverse reference apps such as Omniverse Create, an app for designers and creators to create USD-based virtual worlds, Omniverse View, an app for reviews and approvals, and NVIDIA Isaac Sim, for training and testing robots.
  • Omniverse Replicator - enables researchers, developers and enterprises to generate physically accurate 3D synthetic data and easily create custom synthetic data generation tools to accelerate training and accuracy of perceptual networks and enable easy integration with NVIDIA AI Cloud Services.
  • Omniverse Farm - enables users and enterprises to leverage multiple cloud computing instances to scale Omniverse tasks such as rendering and synthetic data generation.
  • NVIDIA Isaac Sim - a scalable robot simulation application and synthetic data generation tool that enables photorealistic, physically accurate virtual environments for developing, testing, and managing AI-based robots.
  • NVIDIA DRIVE Sim™ - an end-to-end simulation platform for large-scale, physically accurate, multi-sensor simulations to support the development and validation of autonomous vehicles from concept to deployment to improve developer productivity and accelerate time to market.
Omniverse Ecosystem

A datacenter-scale computing system for creating and operating virtual worlds

Digital twins are revolutionizing the way enterprises design, simulate, and optimize complex systems and processes. NVIDIA® OVX™ systems provide the performance required to create and run physically accurate, AI-enabled metaverse worlds in real time. NVIDIA OVX™ is designed to power complex simulations running within Omniverse, enabling designers, engineers, and planners to create physically accurate digital twins and massive, real-world simulation environments.
With NVIDIA Omniverse™ Enterprise, delivered in NVIDIA® OVX™, companies develop physically accurate, AI-enabled virtual simulations that are perfectly synchronized with the real world. These digital twins are transforming industries and scientific discoveries, providing unprecedented opportunities for developers, researchers, and enterprises to design, simulate, and optimize products, devices, and processes in real time before they go into production.
NVIDIA OVX Server

NVIDIA OVX Server

The fundamental building block of OVX systems is the combination of eight NVIDIA L40 GPUs and three NVIDIA ConnectX®-7 network adapters with best-in-class CPUs and super-fast NVMe storage on the OVX server. Together with NVIDIA Omniverse™ Enterprise, OVX provides a scalable end-to-end platform for connecting, building, and simulating 3D applications and virtual worlds.

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NVIDIA solutions for manufacturing

NVIDIA Zertifizierte Systeme

Professional server

NVIDIA Certified Servers™, combined with powerful acceleration from NVIDIA GPUs, enable enterprises to deploy scalable hardware and software for Omniverse Enterprise.

EXG PLattform

NVIDIA EGX platform for professional visualization

The NVIDIA EGX™ platform brings unprecedented graphics and compute performance to the data center, combining the latest NVIDIA Ampere architecture GPUs with NVIDIA SmartNICs and virtual GPU (vGPU) software.

Virtualisierung

Virtualization

NVIDIA RTX virtual workstations enable designers and engineers to access applications from anywhere with accelerated performance, so they can work faster, helping IT save on budget.

Edge Computing Jetson

Accelerated Edge Computing

NVIDIA EGX and Jetson™ solutions accelerate the most powerful edge computing systems to support diverse applications, including industrial inspection, predictive maintenance, factory robotics, and autonomous machines.

Optimizations around the value chain

All processes along the value chain must be connected with an integrated approach from engineering to production and logistics to sales & after sales.The opportunities for optimizing the value chain in terms of efficient working methods, optimized warehousing and distribution processes, more flexible and mobile working, and enabling virtual collaboration using digital technologies are manifold.
Quality assurance
Distribution
Logistics
Service
Production
Development
Engineers and designers are making rapid developments in areas such as advanced robotics, autonomous vehicles, collaborative VR design reviews, and advanced engineering simulations (CAE) at every stage of the design process, while networking with other groups such as marketing and sales by generating photorealistic renderings directly from CAD design files.

Al and machine learning bring many benefits to manufacturing use cases, including:
  • Product researchg, development and production.
  • Inventory management
  • Process and quality control
  • Predictive maintenance
the greatest dynamics in the manufacturing industry occur when automation, communications technology, software development, virtualization, data analysis and electronics interact closely. The basis for this is laid by IT, which must function reliably and adapt flexibly to the requirements of changing processes. It makes sense here to network machines, manage data from the cloud, and analyze large volumes of data in real time to enable predictive control.

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

Your added value

Analyse und Nutzbarmachung großer Datenmengen unterschiedlicher Quellen
This serves various purposes: Firstly, it enables monitoring of industrial plants, which leads to predictive maintenance and fail-safe operation of production plants, and secondly, it is used to collect data from industrial plants and to analyze this data for the purpose of optimizing the value chain.

Small and medium-sized enterprises (SMEs) often do not have sufficient access to data science specialists and machine learning experts. NVIDIA's existing hardware and software solutions and platforms can help address these challenges.
Nutzenermittlung
The key to this is: data, data, data. Data is the most valuable asset of any company. With the help of collecting, evaluating and harnessing data, companies can save valuable time and reduce costs. The correct evaluation of large volumes of data leads to the following added value for the areas of logistics, processes and all operations around the value chain, among others.
Lageroptimierung
Here it concerns a continuous process, which is to lead with the help of the camp management to an improvement and an optimization of the storekeeping. In this connection a more exact view is to be thrown on the processes of the procurement, in the handling and in the distribution around these regarding efficiency, weak points and potential to analyze. An analysis of these processes can quite mean that the technical equipment, the location choice, warehouse logistics selection as well as the organization of the camp range and operational operational sequence must be aligned again. Goal: An optimization of warehousing with regard to economic efficiency and cost reduction.
Ressourcenplanung
Improved data utilization in the ERP environment with the help of predictive analytics
ERP systems are increasingly using the potential of machine learning and artificial intelligence. With the help of a predictive analysis of all processes, entrepreneurial action should become easier to plan. Predictive analytics enables companies to improve their decision-making, reduce the workload of employees and improve business processes.
By seamlessly linking engineering with commercial processes and data evaluation, a significant optimization of value creation is to be achieved. It does not matter whether SAP ERP, ERP solutions from Microsoft, Oracle, Infor, IFS and Sage or other ERP/PLM systems oron specialist providers such as Abas, Proalpha, Asseco or Epicor for the manufacturing industry.
Optimierung von Logistikprozessen durch ganzheitliche Analyse
AI and machine learning in the ERP environment help companies to be able to deliver at any time and to avoid overcapacities in the warehouse. The aim is to minimize the risk of unnecessary capital commitment due to unused inventories. In addition, planning reliability increases with regard to all resources that have an influence on the logistics process - from the goods required, to the infrastructure for the material flow, to the individual worker

With the help of AI and ML, holistic and cross-departmental analyses can be performed in this regard: In this context, the calculation of the sales quantity of a specific product and the resources required for this does not only take into account the existing inventories. The system also evaluates existing inventories at suppliers as well as available capacities in the company's logistics and workforce.
Einsatzfelder rund um alle Geschäftsbereiche
Another field of application for AI in the ERP environment is chatbots, which automate work processes by using voice-based user interfaces to handle frequently recurring processes that run in the same way, in dialog form with a limited number of question and answer options. Companies can use them, for example, to automate routine tasks such as recording income and expenses. For this to succeed, however, all the necessary data must be available in a consolidated database.An integrated ERP system is a basic requirement here for uniform and reliable management of all relevant business areas of a company.
Entlastung rund um zeitintensive Routineaufgaben
With the emergence of artificial intelligence technologies , enterprise resource planning solutions are also facing a radical change. Many business processes set up in this system environment can be automated to a large extent with the help of robotic process automation, which will relieve users of many routine tasks in the future, for example in accounting, purchasing or personnel planning, and thus reduce the workload of employees.
Industrie 4.0 - Digitaler Wandel zur intelligenten Fabrik
Modernization of the software infrastructure is needed to pave the way to the "smart factory" with intelligent manufacturing. The transformation in the manufacturing industry has already begun. More and more small and medium-sized enterprises (SMEs) are relying on the use of artificial intelligence. The main motivations for this change are that real-time data and dynamic decision making enable meaningful performance improvements for companies, leading to long-term cost reductions within the value chain.

Current manufacturing infrastructure is costly to maintain, creates barriers to the distribution of data, integrates poorly with other systems, and prevents companies from realizing the benefits of digitization. The successful transition to the smart factory requires the introduction of new technologies that can integrate outdated existing and deployed systems with modern new systems.

Also interesting: Solutions AROUND your value chain

Model, simulate, test, and optimize products like never before. Using NVIDIA professional GPUs and platforms, manufacturers can design and bring innovative products to market faster.

NVIDIA platforms

NVIDIA Fleet Command

NVIDIA Fleet Command™

nVIDIA Fleet Command™ is a managed cloud service that securely deploys, manages, and scales AI applications across distributed edge infrastructure. Built specifically for AI, Fleet Command is a turnkey AI lifecycle management solution that delivers optimized deployments, layered security, and detailed monitoring capabilities - so you can go from zero to AI in minutes.

NVIDIA AI Enterprise

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

NVIDIA Omniverse

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. NVIDIA RTX™-based, stunning, high-fidelity models can be shared instantly on any device.

NVIDIA Omniverse Enterprise

NVIDIA Omniverse Enterprise™

The Omniverse platform is an end-to-end collaboration and simulation platform that runs on NVIDIA-certified systems and includes licensable enterprise-class software and support.

Omniverse Enterprise enables creative and design teams to connect their workflows from Autodesk 3ds Max, Maya and Revit, Epic Games' Unreal Engine, McNeel & Associates Rhino, Grasshopper and Trimble SketchUp through live edit collaboration.

Around your "heart" - the data center

NVIDIA RTX™ platform for visual computing

Developing the next generation of products requires breakthrough innovation throughout the process. The NVIDIA RTX™ visual computing platform- accessible from physical or virtual workstations running NVIDIA's virtual GPU(vGPU) software - enables today's leading design and engineering teams to harness the power of photorealistic visualization, real-time simulation, AI, and additive manufacturing to stay ahead of the competition and bring amazing new products to market faster than ever before.

Document "RTX for the manufacturing industryVirtual GPUs for Manufacturing Industry" document

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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GPU virtualization for any workload from VDI to TO AI

NVIDIA virtual GPU (vGPU) solutions bring the benefits of NVIDIA GPUs, including the Ampere generation, to virtual desktops, apps, and workstations, accelerating graphics and creating computations to provide access to virtualized workspaces for creative professionals as well as technical experts working from home or on the road.

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A safe haven for your data

Book a test drive as part of a Proof of Concepts (PoC) in our Compute Center "sysGen SG E-Center", which is located in a certified German data center in Bremen. We can guarantee the following assurances:
-design according to class 4
-earthquake free
-permanent oxygen reduction

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Design - From visualization to simulation

CAD/CAM

A central element of mechanical and plant engineering is design. Nowadays, the designers involved in the product development process are under more cost and time pressure than ever before, while complexity is increasing at the same time. In addition, trends such as additive manufacturing, virtualization, the principle of "batch size 1" as well as an increasingly networked working world also pose great challenges for employees, managers in design and IT, but in return also offer many opportunities


sysGen offerscost-effective, turnkey solutions for virtual desktop infrastructures (VDI) with virtual GPUs that meet customer requirements for the most demanding design workflows. By centralizing CAD workstations in clouds or data centers, with all the benefits of a secure infrastructure, you ensure data security.

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NVIDIA EGX platform for professional visualization

Bring unprecedented graphics and compute performance to your data center with the NVIDIA EGX™ platform, which combines NVIDIA Ampere architecture GPUs, SmartNICs, and NVIDIA virtual GPU software.

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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.

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Your direct line to the experts at sysGen

Would you like to learn how to move your business forward? Don't hesitate to use our contact form to let us know where we can help you. From optimizing your "heart" of your data center, to virtual cloud solutions, to moving you forward with software and platforms. We support you with end-to-end digital solutions as well as professional NVIDIA certified servers from Supermicro and Gigabyte with GPU acceleration.sysGen is your competent contact.