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BMW is standard on A. New technology unveiled at Nvidia, the OmniverseIn an effort to push the envelope on Smart Manufacturing to simulate every aspect of the production process.

BMW The company said in a statement that it has “30 percent reduction in production planning time”.

During Nvidi’s GTC November 2021 ConferenceBMW Digital Solutions reports on how BMW and Nvidia have made significant progress in simulating production operations, relying on BMW and Nvidia for production planning and data management. Digital Twins. Approach them, BMW and universal in production, Provides a detailed overview of how the Regensburg Factory is fully operational, has a real-time digital twin, is capable of simulating and finalizing simulations based on scalable production and robotics programming on-store flooring.

Improving product quality, reducing production costs and reducing unplanned vacations, increasing productivity and ensuring worker safety are the goals that all manufacturers strive for but occasionally achieve. Achieving these goals is how fast and real-time data is shared in production and process monitoring, product definition and store floor planning in a way that each team can use.

Overcoming challenges to achieve these goals will motivate manufacturers to adopt analytics, AI and digital twin technologies. At the heart of these challenges is the need to accurately identify the huge amount of information that is generated each day. Getting the most out of the day-to-day operations of any manufacturing operation is the key to the smart device.

Determining what the future plant will be

McKinsey and the World Economic Forum (WEF) are studying what makes unique factories unique. Their first collaborative research and much more Subsequent research studiesMcKensey and WEF’s collaborative efforts, including the future of advanced manufacturing and production platforms, reflect the success of today. In addition, McKinsey and WEF have set a high standard in defining what the future plant will be as it provides ongoing analysis of the work of a selective manufacturing team for customers.

Like McKinsey and WFF, lighthouse manufacturers measure pilots to integrated production. They are also known for their ability to change the supply chain, market and customer shortages in the technology platforms, change management and change management that will continue to be visible in the manufacturing process. BMW is the first recognized member of the Automotive Lighting Manufacturing Company after reviewing more than 1,000 companies including McKensey and WEF. The following sketches of McKensey and WEF study give a global overview of the factory environment of lighthouse manufacturers.

On top of that, McKinsey and WEF’s ongoing collaboration provides new insights on how manufacturers can continue to adopt new technologies, improve performance, increase visibility and control over storefronts, and control costs. Source: McKinsey and Company, Lighthouse Producers Lead the Way: Can the rest of the world continue?

BMW Future Design Factories

The four sessions BMW presented at Nvidi’s GTC November 2021 conference provided a blueprint for how BMW will transform production centers into future factories. Their main goal is to accurately access back-end integration services, including real-time integration with Project Weiss, BMW internal systems Prisma and MPP and Technologies EMS. BMW relies on Omniverse Connectors, which support direct synchronization with each application at the front end of the tech stack. Front-end applications include many leading 2D and 3D computer-aided design (CAD), snapshot, product life cycle management (PLM) and advanced imaging tools. BMW will be able to scale and integrate analytics, AI and digital twins across 31 manufacturing plants by transforming it into a central platform to integrate standardized different back and front-end systems on the Nvidi Omniverse.

Instantly customizing Excel models

Explains how BMW deployed Nvidia Omniverse, future initiatives at their factory and why others are succeeding. BMW already knows that each system needs to be integrated around a data source that everyone can understand, from CAD and PLM to ERP, MES, Quality Management and CRM to produce different clock speeds. Nvidia Omniverse acts as a data orchestra and provides information that each section can interpret and process. “International teams can collaborate on a variety of software packages to instantly design and plan the plant, using the ability to work in complete simulation, which will change the planning process for BMWs,” said Milan Nedelkovich, a board member of BMW AG.

Product customization controls BMW product sales and production. They are currently producing 2.5 million vehicles a year, and 99% are custom. BMW can be quickly configured to produce one of ten different cars, each with up to 100 options or up to ten models. Providing customers with up to 2,100 ways to configure BMW. Nvidia Omniverse also offers BMW flexibility to quickly set up factories to accommodate new large model startups.

Simulating line upgrades to save time

BMW’s product customization strategy succeeds because each of the systems required for production is synchronized with the Nvidi Omniverse platform. As a result, each step of the customized model reflects the needs of the customer and is shared instantly with each product team. BMW also claims that real-time product monitoring data will be used to measure digital twin operations. The BMW engineers of a complete factory digital twin can quickly identify where and how to improve the production sequence of each model. For example, BMW is training staff on how to use digital people to test new workflows for employee ergonomics and efficiency and with information from real partners. They are still working on robots on plants. Combining real-time product and process monitoring data with similar results helps BMW engineers to quickly identify improvement areas, thus continuing to achieve quality, cost and productivity goals.

BMW pretends to use Nvidia Universal before launching robotics upgrades to production runs.

Before applying the above BMW robotics upgrades to production processes, first use Nvidia’s Omniverse to ensure greater accuracy, product quality and cost targets.

For any manufacturer to achieve a complex product customization strategy like BMW, the systems on which all manufacturers rely must be synchronized in real time. There should be a regular clergyman who is working on the system, providing instant information and information that each group can use to carry out their specific task. Achieving this today will allow BMW to scale to the model-model configuration level. You can also test each model configuration in a fully functional digital dual environment in Nvidi’s Omniverse and then reconfigure product lines to produce new models. Real-time production and process monitoring information helps existing BMW engineering with existing product lines and digital twins, and production planning teams know where, how and why to upgrade to fully test digital twins before they go live.

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