Materials Selection Process

TL;DR: In this paper, an integrated artificial neural networks (ANN) with genetic algorithms (GAs) is proposed to optimize the multi-objectives of material selection to get more sustainable products, not only technical and economic factors, but also environmental factors should be considered.

TL;DR: In this article, a simplified fuzzy logic approach is introduced to provide a powerful tool for easy dealing with the qualitative properties of materials and the corresponding fuzzy space, and the results show an excellent match with the Manshadi's method.

TL;DR: In this paper, the authors present an approach to present a materials selection model that is an integral part in an integrated product development model, in which both physical and metaphysical properties are analysed for different types of products.

TL;DR: In this paper, the authors present a cost model for process pre-selection, based on resource consumption, which can be used to rank by cost, however crudely, to guide pre-selections.