An Evaluation Method for Digital Twin Development Platforms

Abstract

The Digital Twin (DT) offers an integrated solution for replicating physical (human and non-human) systems with monitoring capabilities and intelligent support for decision-making. Their popularity in academia and industry is growing, and different commercial and open-source development platforms are now available. However, there is a lack of detailed platform benchmarking studies and selection guidelines. This paper (1) identifies a portfolio of DT development platforms (DTDP) and (2) suggests a systematic method to evaluate them. Preliminary results of the method adoption are presented for a use case of a dry port DT deployment. This research will assist companies with their DTDP investments, presenting an assessment example for more complex DT deployment settings.