Decision Making Supports for Design Changing Process using System Architecture Map

Abstract

This research proposes a new model for describing interactions among system elements during design changes and a method for determining which elements and in what order should design changes should be performed. The model is based on the system architecture map (SAM) model, which describes the interaction of attribute values that define system characteristics and can describe the possibility of offsetting design change propagations.

To optimize the design change process, a multi-objective optimization was performed using a genetic algorithm, with various design difficulty factors as evaluation functions. The resulting Pareto solution set highlights the trends among superior solutions and supports engineers in decision making.