Augmented reality based - decision making (AR-DM) to support multi-criteria analysis in constructions

Valentino Sangiorgio, Silvia Martiradonna, Fabio Fatiguso, Ignacio Lombillo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

31 Citas (Scopus)

Resumen

Multi-Criteria Decision Analysis (MCDA) and in particular the Analytic Hierarchy Process (AHP) is widely used in construction thanks to its versatility and ability to involve qualitative and quantitative data in the analysis. On the other hand, many complex problems are difficult to be solved because of the large amount of information to be considered. In this paper, an Augmented Reality based Decision Making (AR-DM) is proposed to get a novel MCDA following the hierarchical structure of the AHP. For the first time, the AR immersive environment is combined with the Simos-Roy-Figueira method to provide a large amount of visual information during the decision phase. The proposed approach is tested to support the selection of an experimental Precast Concrete Panel for RC buildings retrofitting. Finally, a comparison with the classical approach and two other improved version of the AHP procedure is performed to validate and show the potential of the method.

Idioma originalInglés
Número de artículo103567
PublicaciónAutomation in Construction
Volumen124
DOI
EstadoPublicada - abr. 2021
Publicado de forma externa

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