Abstract
When machine product designs are determined, numerous and disparate design alternatives concerning design parameters such as shapes, dimensions, materials and other properties of each part must be considered. In order to achieve successful design solutions, criteria values must be calculated using this plethora of design alternatives. But the extent and number of such calculations create severe inefficiencies and lengthen the design development process that, ideally, should be as brief as possible. In order to solve this problem, this paper proposes an efficient method for selecting alternative designs that are preferable for the given set of criteria weightings, focusing on the influence the alternatives have on each criterion.
