Optimizing Digital Twins to Reduce Intra-Factory Costs up to 20%

, System Software Engineer, NVIDIA
, CTO and Co-Founder, ipolog GmbH
, Manager Logistics Planning Processes and Product Owner Logistics Planning, BMW
We'll present work from an ongoing collaboration between BMW, ipolog, and NVIDIA showing how digital twins
and accelerated combinatorial optimization can lead to 20% reduction in the required number of transport vehicles.
With the help of ipolog, NVIDIA cuOpt, and Omniverse, BMW can explore many possible versions of a true-to-life digital twin and evaluate each according to its impact on the optimized state of operation. Initial testing with intra-logistics transport order routing has shown opportunities for a significant reduction in cost. In addition to the intralogistics optimization, we'll also evaluate the usage of cuOpt for inbound logistics optimization. We'll briefly cover the problems being addressed and their solutions, and end with a discussion of the path ahead.
活动: GTC Digital September
日期: September 2022
话题: Data Science
级别: Intermediate Technical
行业: Manufacturing
语言: English
话题: World Simulation & Digital Twin
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