Decision-making Analysis of Scheme Selection under Different Preferences

Abstract

In the conceptual design stage of new product development, one of the major challenges is how to effectively determine the single best scheme from multiple alternatives. Based on the Axiomatic Design Theory, this paper proposes a new method to analyze and compare alternative schemes, and the Markov function is then used to calculate cost and determine the optimization direction of the chosen scheme. The cost of the optimal solution is estimated through calculations with utility functions. To add more details to the final design, it is necessary to consider both the working environment and user preferences, then to further analyze the schemes via fuzzy intuitions in order to determine the best prototyping and optimization strategy. This paper employs the design process of a library robot, which is designed in the context of university campus environment, as an illustrate example to showcase how to use the proposed method.