Modelling concept design evaluation

Abstract

This paper describes the development of models to simulate the process of Concept Design Evaluation. The models are an amalgam of a number of statistically based methods and approaches taken from the probability, reliability, and quality domains. They assume that designers use decomposition of design to undertake evaluation at design characteristic level with the total design evaluation being achieved, in some way, via recomposition. The models described in this paper attempt to describe how designers may perform recomposition and hence total design evaluation. It is argued that the ability to model this human activity is important for the future development of knowledge-based design tools.

Influencers in design teams: a computational framework to study their impact on idea generation

“…The computational representation of a design problem has been adopted in many design research (Green, 1997;Cvetković and Parmee, 2002;Gero and Kannengiesser, 2004;Ehrich and Haymaker, 2012;McComb et al, 2015). Some of the design tasks used in previous work are represented as binary functions (Schreiber et al, 2004).…”

“…Considering all the parameters may be costly (in terms of computational time and resources) and complicates the model, therefore researchers in the past including the current work (Singh et al, 2019) have considered the ones that contribute directly to their goals. While some authors focused their computational models on the conceptual design phase (Green, 1997;Cvetković and Parmee, 2002;Ehrich and Haymaker, 2012), others created models to study distributed team coordination (Carley, 1996;Carley and Gasser, 1999;Lee and Lee, 2002) and multidisciplinary teams (Maher et al, 2007;Hulse et al, 2019). Researchers have studied and simulated specific aspects of design activity, such as problem-solving (McComb et al, 2015(McComb et al, , 2017 and team-related attributes (Gero and Kannengiesser, 2004;Singh et al, 2011;Perišić et al, 2018).…”