A multi-level hierarchy decision-making framework for the implementation of novel regenerative supply chain management practices in construction

As environmental challenges intensify and natural resources decline, the construction industry must move beyond sustainability efforts, which often focus on minimizing harm, towards regenerative approaches that actively restore ecosystems and enhance environmental well-being. However, the lack of a structured framework to assess and implement regenerative supply chain management (RSCM) practices remains a significant barrier. This study addresses this gap by developing a comprehensive decision-making framework to guide the prioritization and adoption of regenerative strategies across the construction supply chain. A hybrid multi-criteria decision-making (MCDM) approach was employed, combining the Fuzzy Analytic Hierarchy Process (FAHP) to assign weights to regenerative performance criteria, and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) to evaluate and rank newly developed RSCM practices. Expert input from regenerative construction professionals informed the criteria selection and evaluation process. Results highlight “designing with nature” as the top priority in the design phase, biodegradable materials in purchasing, and strategic transport planning in the transportation stage. In construction and end-of-life stages, the top practices include modular construction and prioritizing disassembly and material recovery. The research findings provide a robust, data-driven tool for embedding regenerative principles into construction supply chains and informs both policy and practice.