Modeling of Material Selection for Product Improvement Considering Quality, Innovation, and Life Cycle Assessment
Dominika SIWIEC, Andrzej PACANA, Renata DWORNICKA
Abstract. The product development process can be considered from a “cradle to grave” perspective. Making rational material choices that drive efficiency in production, use, and end-of-life seems crucial. Therefore, the aim of this article was to propose a modeling framework to support the materials selection process in product improvement, taking into account aspects of quality, innovation, and environmental impact throughout the life cycle. The model operates in six main stages, expanded with selected techniques to support their implementation. It is based on the identification of product usability, innovation, and environmental impact criteria within the life cycle. Material prototypes are analyzed to assess the importance of these criteria and their fulfillment based on the adopted assumptions. The entire process is presented in a flowchart illustrating a systematic approach. The materials selection model can be applied to materials selection for any product, for example, in the electrical machinery industry. It can be used by designers, engineers, and managers in the early stages of product development, as well as during product improvement for sustainability.
Keywords
Quality, LCA, Material Selection, Decision-Making, Sustainable Product Development, Mechanical Engineering, Production Engineering
Published online 1/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Dominika SIWIEC, Andrzej PACANA, Renata DWORNICKA, Modeling of Material Selection for Product Improvement Considering Quality, Innovation, and Life Cycle Assessment, Materials Research Proceedings, Vol. 62, pp 86-93, 2026
DOI: https://doi.org/10.21741/9781644904015-12
The article was published as article 12 of the book Terotechnology XIV
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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