OPTIMIZING REQUIREMENTS FOR MAXIMUM DESIGN FREEDOM CONSIDERING PHYSICAL FEASIBILITY

ABSTRACT Solution spaces are sets of designs that meet all quantitative requirements a given design problem, aiding requirement management. In previous works, ways calculating subsets the complete solution space as hyper-boxes, corresponding to collection permissible intervals for variables, were developed. These can be used formulate independent component with built-in tolerance. However, these works did not take physical feasibility into account, which has two disadvantages: first, may useless, when included cannot realized. Second, bad physically feasible unnecessarily restrict formulation. this paper, we present new concept is defined largest set (1) allows decomposition (e.g., it box-shaped), (2) maximizes useful (good and feasible), (3) excludes non-acceptable (bad feasible). A small example from robot illustrates significantly larger than thus improve decomposition.