Interdisciplinary life cycle data analysis within a knowledge-based system for product cost estimation
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Altavilla, Stefania (1); Montagna, Francesca (1); Newnes, Linda (2)
Institution: 1: Politecnico di Torino, Italy; 2: University of Bath, United Kingdom
Section: Design for X, Design to X
quality. For this purpose, this research proposed a knowledge-based system that uses empirical data, and information available across phases of product’s lifecycle, and suggests how different qualitative and quantitative analyses can be performed, to transform the results in valuable feedback for future product development, while also providing a cost estimation.