A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes
Metadatos
Mostrar el registro completo del ítemAutor
Al Shdifat, Majdi; Jalón Ramírez, María Lourdes; Puertas García, María Esther; Chiachío Ruano, JuanEditorial
MDPI
Materia
Eco-materials Multiple criteria decision-making Probabilistic models
Fecha
2023-11-14Referencia bibliográfica
Al Shdifat, M.; Jalón, M.L.; Puertas, E.; Chiachío, J. A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes. Appl. Sci. 2023, 13, 12310. https://doi.org/10.3390/app132212310
Patrocinador
European Union’s Horizon Europe research and innovation program under grant agreement 101092052Resumen
In response to escalating global environmental challenges, developed countries have
embarked on an ecological transition across a range of sectors. Among these, the construction
industry plays a key role due to its extensive use of raw materials and energy resources. In particular,
research into sustainable construction materials, here named eco-materials, has seen a boost in recent
years because of their potential to replace less environmentally friendly materials such as concrete
and steel. This paper proposes a large-scale group decision-making methodology to select among
a set of candidate structural eco-materials based on sustainability considerations. The proposed
approach is based on a novel quantitative SWOT analysis using survey data from a diverse group
of experts, considering not only the technical aspects of the materials but also their impact in the
context of the United Nations’ Sustainable Development Goals. As a result, a range of eco-materials
are probabilistically assessed and ranked, taking into account the variability and uncertainty in the
survey data. The results of this research demonstrate the suitability of the proposed methodology for
eco-material selection based on sustainability criteria, but also provide a new generic methodology
for group decision assessment considering the uncertainty in the survey data, which can be extended
to multiple applications.