Abstract

This study provides insights into the development of a combined simulation and machine learning approach in the field of additive manufacturing (AM).
The systems engineering (SE) methodology is used to determine the relationship between different engineering objectives in the area of semantic supply chain modelling to validate the results of a matchmaking model for the digital AM supply platform to increase its network resilience. The concept is used as a basis for further implementation.