Abstract:

The scientific evaluation of initial solutions in the early stages of complex system design is crucial to the success of the development. To address issues in traditional solution evaluation-such as reliance on expert experience, limited perspectives, and poor data correlation, a model-based multi-dimensional comprehensive trade-off analysis method for system solutions was proposed. Leveraging the technical advantages of Model-Based Systems Engineering (MBSE) in architectural modeling and simulation, this method first constructed a multi-dimensional indicator system covering performance, technology, cost, and schedule. A mapping relationship was then established between system architecture and parameter models using the Systems Modeling Language, enabling dynamic association between trade-off indicators and subsystem parameters. On this basis, a parameter normalization and weighted summation approach was adopted, accounting for positive/negative effects, innovatively integrated with SysML parametric diagrams to construct a multi-dimensional indicator framework for comprehensive complex system trade-off modeling, along with establishing a seven-step analysis process for multi-dimensional comprehensive trade-off. Validation using aircraft engine solution trade-off case, demonstrated that this approach could efficiently and automatically evaluate and rank multiple alternative solutions, verifying the engineering practicality and the model effectiveness of the comprehensive trade-off analysis process. This approach provided an effective model-driven decision-making tool for evaluating complex system solutions.

Key words: architectural modeling, trade-off indicator, comprehensive trade-off model, multi-dimensional