Current Situation
Digital twins are used to capture a product design for reuse in “downstream” operations.
Goals and Objectives
Reduce costs, accelerate innovation, increase quality, expand collaboration, and improve product manufacturing and service.
Technology Deployed
Hardware: Servers, storage, HPC, IoT, and mobile devices
Software: AR/VR, Big Data/analytics, blockchain, cognitive/AI, machine learning, cloud, security, CAD, CAM, CAE, PLM, and office tools
Services: Business and IT services
Use Case Summary
The deliverable of product development is a lightweight, cloud-based, and intelligent digital twin that embeds intent and rules (requirements and constraints) within the DT model to support broad distribution, run remote simulations/validations, and support associative modifications.