Transforming Mining Machinery Distribution: Fuzzy AHP- Based Leagile and Resilience Strategies for Sustainable Supply Chains

Pajuelo A.; Paz V.; Coles P.; Ramos E. · Lecture Notes in Networks and Systems (2025) · DOI: 10.1007/978-3-031-98304-7_68

Resumen

Mining machine supply chain globalization has increased the need for enhanced supply chain resilience (SCR) strategies and supply chain sustainability (SCS) in the face of market volatility and environmental challenges. This study investigates how integrating Leagile (LA) approaches into a mining distribution company’s supply chain can address these demands. The primary methodology used is the Fuzzy Analytic Hierarchy Process (F-AHP), which applies expert judgment through pairwise comparisons to evaluate critical drivers across the dimensions of LA, SCR, and SCS. The results highlight the importance of the demand-side sensing approach of the LA strategy, SCS practices with waste management and SCR operations to achieve a balanced and efficient supply chain. Conclusively, this research provides practical insights into leveraging the LA framework to improve adaptability, operational efficiency with SCR, and long term SCS in distribution companies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Instituciones: Universidad Peruana de Ciencias Aplicadas