Data-Driven Product Design and Axiomatic Design

Abstract

Big data has become viable as cost-effective approaches have emerged to tame the Volume, Velocity, Variety, Value (4Vs) of massive data. Within Big Data lies valuable patterns and information, previously hidden because of the tremendous amount of work required to extract them. Data-driven product design can guide designers making proper and accurate decisions, this design method is effective and useful, it becomes more and more popular today. Axiomatic design method is equally based on two design axioms of functional independency and information minimum, through "zigzag" decomposition, assigning design task to different design domains to complete design. This paper investigates how to apply Axiomatic design method in data-driven product design in order to bring new opportunities to enhance the production efficiency and product competitiveness.