Towards a robust digital production and logistics network by implementing flexibility measures

Abstract

Digital transformation potentially improves business processes, leading to increased flexibility in manufacturing and logistics networks. Therefore, decision support systems for responsive manufacturing are gaining importance. In this paper, a discrete event simulation model is applied. In order to assess the potential of digital transformation in the context of Industry 4.0 towards production and logistics network robustness, different simulation scenarios are observed. The results contribute to identify potential flexibility measures and to quantify their impact in order to mitigate control uncertainties within production and logistics networks.