Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems

ArXi:2604.04996v1 Announce Type: new Strategically locating a sawmill is vital for enhancing the efficiency, profitability, and sustainability of timber supply chains. Our study proposes a Learning-Based Multi-Criteria Decision-Making (LB-MCDM) framework that integrates machine learning (ML) with GIS-based spatial location analysis via MCDM. The proposed framework provides a data-driven, unbiased, and replicable approach to assessing site suitability. We nstrate the utility of the proposed model through a in Mississippi (MS.