The interest in digital twins (DTs) has recently increased among various industries. Consequently, various methods have been proposed to enhance their development and maintenance. The creation of DTs relies on integrating models and data from a variety of sources, including sensors, Internet of Things (IoT) devices, and other data streams. Model-driven engineering (MDE) is considered an effective approach for developing DTs. Our previous research indicates that current methods focus primarily on the software and systems perspective, often overlooking the importance of organizational integration. Additionally, we identified a growing need for approaches specifically designed to meet the needs of small and medium-sized enterprises (SMEs). In this paper, we introduce a method for MDE of DTs with the corresponding tool support meeting the specific requirements of SMEs. In three case studies from different domains, we demonstrate the applicability and confirm that domain experts are able to develop DTs with domain knowledge using our method.