Development of Model-Based Systems Engineering (MBSE) Methodology for Digital Infrastructure Projects

Abstract

Digital transformation is driving the need for a more adaptive and structured approach to infrastructure project management. Model-Based Systems Engineering (MBSE) has emerged as a potential solution in dealing with high complexity, traceability of needs, and changing dynamics in digital infrastructure projects. This research aims to develop a methodological understanding of how MBSE can be adapted to support the success of modern digital projects. The research method used is qualitative exploratory, with data collection through in-depth interviews with digital project practitioners and analysis of engineering model documentation. The results show that MBSE provides significant benefits in strengthening the traceability of needs and managing system complexity more effectively. However, major challenges still lie in multidisciplinary collaboration and model adaptation to dynamic changing needs. The study also revealed that the integration of agile principles into the MBSE framework and the use of collaborative modeling platforms can improve the flexibility and effectiveness of MBSE implementation. In conclusion, the successful implementation of MBSE in digital infrastructure projects depends not only on technical modeling capabilities, but also on the readiness of organizations to adopt collaborative and adaptive work cultures. The implications of this research provide an important foundation for the development of MBSE methodologies that are more responsive to technological changes and future market needs.