Methodology to Measure the Efficiency of Scientific Decision-Making Frameworks to Select Preferred Building Materials

Decision-making in the architecture, engineering, and construction (AEC) industry is challenging due to stakeholders with divergent expertise. Oftentimes, the process of decision-making does not follow a systematic approach. Several scientific decision-making methods have been implemented to streamline the decision-making process in the AEC industry. However, previous studies have shown that not all frameworks are well structured, equally efficient, and applicable to all scenarios. This study attempts to develop a methodology to combine and assess the efficiency of the two common multi-criteria decision-making frameworks, Choosing by Advantages (CBA) and fuzzy analytical hierarchy process (FAHP). Furthermore, the study focuses on addressing the early material selection problem in the industry. Both CBA and AHP methods are used to compare concrete, steel, and mass timber building materials in the US from an early decision-making perspective. The findings of the study will have significant contributions to construction practices in terms of making rational and informed decisions regarding building material selection.