Application of a Digital Twin for Proactive Production Planning

Abstract

This paper presents the underlying method of a proposed digital twin for proactive production planning. We derived the method based on a requirements analysis considering the challenges in maritime production. Using real-time production feedback data, alternative production scenarios are identified to prevent disruptions and delays in manufacturing and assembly. As part of the ProProS research project, the method is implemented and validated through the development of the digital twin, which offers a platform for the realization of further use cases to be diffused into industrial applications.