A novel graph-based modelling approach for reducing complexity in model-based systems engineering environment

Abstract

Field of systems engineering is developing rapidly and becoming more complex, where multiple issues arise like overcomplexity, lack of communication or understanding of the design process. Model-based systems engineering (MBSE) has been introduced to overcome these issues and reduce systems complexity. Nonetheless, the system model remains static and the interactions among submodels are modelled in the form of hard-coded rules. Therefore, systems interaction in MBSE is not dynamic enough to satisfy the evolving nature of system models with growing complexity. In this paper, a novel approach for modelling logic is proposed to address the above challenge. The aim of the research is to improve existing methodologies and interaction modelling as well as deal with inconsistencies. The approach is based on graph theory, where pre-defined rules and relationships are substituted and reorganised dynamically with graphical constructs while metagraphs being the most applicable for systems modelling. Framework for reducing complexity is presented.