A Computational DEA-Based Decision Support Framework for Green Supply Chain Management in Construction

Abstract: In construction, greening supply chains requires balancing economic performance with environmental impact, making systematic evaluation and comparison difficult. Current approaches rely on single indicators or subjective assessments, limiting their ability to identify relatively efficient configurations. This paper proposes a Data Envelopment Analysis (DEA)-based framework to computationally evaluate green supply chain management (GSCM) scenarios. Economic and environmental parameters are treated as inputs and outputs in the DEA model. An application to 81 scenarios identifies supply chain configurations that achieve environmental improvements without disproportionate economic penalties, addressing a key challenge in implementing GSCM in the construction sector.