The construction industry faces increasingly more significant pressure to reduce resource consumption, minimise waste, and enhance environmental performance. Towards the transition to a circular economy in the construction industry, one of the challenges is the lack of a standardised assessment framework and methods to measure circularity at the product level. To support a more sustainable and circular construction industry through robust and enhanced scenario analysis, this paper integrates probabilistic analysis into the coupled assessment framework; this research addresses uncertainties associated with multiple criteria and diverse stakeholders in the construction industry to enable more robust decision-making support on both circularity and sustainability performance. By demonstrating the application in three real-world MMC products, the proposed framework offers a novel approach to simultaneously assess the circularity and sustainability of MMC products with robustness and objectiveness.
@article{arxiv.2504.07850,
title = {Probabilistic Multi-Criteria Decision-Making for Circularity Performance of Modern Methods of Construction Products},
author = {Yiping Meng and Sergio Cavalaro and Frozan Dizaye Mohamed Osmani},
journal= {arXiv preprint arXiv:2504.07850},
year = {2025}
}