Digital twin (DT) is not only a concept, but also a simulation tool that can be expected to construct models of smart factories and autonomous production by utilizing cyber-physical systems (CPS) concept. Simulation is used to reproduce and monitor the manufacturing site and to feed back the results of prediction and optimization by modeling the real world. However, previous studies so far have often been limited to explain the concept of the DT, and the associated discussion of the DT implementation is not enough from the practical standpoint. In this study, after surveying the previous researches, we clarify the problems remaining in the DT implementation, and then, propose a data input scheme for the synchronization /monitoring mode in a DT. Then, a framework of cooperation between the monitoring mode and the evaluation-experiment mode, which is an important issue in constructing a DT, is also proposed. By applying them to case studies of DT-oriented simulation models for a physical factory model, the proposed scheme and framework are verified.
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