Using DSMs in Functionally Driven Explorative Design Experiments – an Automation Approach
Year: 2022
Editor: Harold (Mike) Stowe; Tyson R. Browning; Steven D. Eppinger; Jakob Trauer; Pascal Etman, Sjoerd Knippenberg
Author: Panarotto, Massimo (1); Kipouros, Timos (2); Brahma, Arindam (1); Isaksson, Ola (1); Strandh Tholin, Oskar (1); Clarkson, John (2)
Series: DSM
Institution: 1: Chalmers University of Technology, Sweden; 2: University of Cambridge, UK
Page(s): 68-77
DOI number: 10.35199/dsm2022.08
Abstract
Product architectures are often designed as evolutions or modifications of existing product platforms by adding new functionalities. However, there is still a limited ability to simultaneously modify the functions and the physical elements of a system (and the corresponding links between them). These relationships, which are usually static, limit the ability to discover new architectures, as well as to analyse architectures by simulation. In this paper, we demonstrate how DSMs can be connected to function-means models to enable 1) the simultaneous modification of functions, solutions and links of a product’s architecture and 2) the ability to export multiple DSMs from function models to use in simulation of non-functional properties of a product architecture (e.g., supply chain resilience) in digital design experiments. The initially identified multiple instances of architectures can be exported and communicated with other simulation and analysis tools, thereby enriching existing models with additional and more detailed information.
Keywords: Design Structure Matrix, Function Modelling, Change Propagation, Design Support