Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation

Abstract

Assessing the impact of design automation on design practice prior to its implementation is difficult and subject to uncertainties. One reason for this is the designers' lack of knowledge about design automation. In this work, an industrial case study focusing on conceptual design of hydraulic circuits is conducted to assess the impact of the designers' knowledge on design automation potential estimation. In particular, the impact of demonstrating a prototypical implementation of a design automation application is investigated as a means to enhance the designers' knowledge about design automation. In this respect, a given set of metrics is rated twice to enable a comparative study: prior to and after introducing the design automation prototype. The yielded results show that the knowledge impacts the rating and supports reliability of potential estimation. Further, it is shown that designers acknowledge design automation potential for the early stages of design given sufficient knowledge about design automation. Yet, the results also indicate that careful attention needs to be put on the aspects covered by the prototype in order to avoid biasing participants.

Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines

“…Current work also concerns network-based analysis of 484 transition graphs; a novel approach was proposed for analyzing grammar rules by means of 485 combining graph representation (transition graph) of generated designs and rule applications with 486 network-analysis algorithms and interactive visualizations [66]. Currently, research is being carried 487 out that aims at estimating the impact of design automation [60,61,67,68].…”