Concept for Digital Twin-based predictive Value Engineering

Competitive products must fulfill numerous requirements, including the needs of stakeholders and economic constraints, simultaneously. Considerable costs emerge in manufacturing, whereas the design has a significant impact on these costs. Design decisions are driven by multiple criteria, as many, but competing, requirements need to be met. Often valid information for decision-making is limited in the early phases of development. The presented approach of predictive Value Engineering is based on a Digital Twin concept, which applies existing knowledge from product generation engineering and provides its context-specific use during development. The goal is to support cost decisions for value-driven design and improved manufacturability.