Dynamic Evolution of Information Complexity for Analysis of Design and Development

Abstract

In this paper we analyze a design and development process of a product or a knowledge-base using complexity and present a methodology to search a sequence using the active complexity, a measure of dynamically changing undefined information. We observe that the information content and parametric interaction of each design process evolve and each design process shows a distinct evolutionary pattern of design information. We analyze such an evolutionary aspect of the design process using complexity theory and optimize it for the minimum active complexity. The obtained optimum design process provides a development sequence with the minimum undefined attributes, which could be used as useful guidance in the product design and assembly planning. We illustrate our approach with examples