A Neutrosophic Approach for Multi-Factor Analysis of Uncertainty and Sustainability of Supply Chain Performance

Abstract

The pursuit of Sustainable Supply Chain Management (SSCM) has become increasingly vital in
the face of escalating environmental, social, and economic challenges. This paper presents a novel approach
that harnesses the power of m-generalized q-neutrosophic numbers (mGqNN) within the MULTIMOORAmGqNN method to evaluate and select SSCM performance and theory. By integrating mGqNN, we offer a
versatile framework that adeptly navigates the uncertainties and vagueness inherent to SSCM decisionmaking. Through systematic linguistic assessments by multiple decision makers, our approach ranks SSCM
alternatives, facilitating the identification of optimal strategies that enhance sustainability performance.
This paper contributes to the evolving discourse on SSCM by introducing a robust methodological
framework that addresses the multifaceted complexities of sustainability in supply chains. In an era where
sustainability is paramount, the MULTIMOORA-mGqNN method offers researchers and practitioners a
valuable tool to make informed decisions and guide supply chain strategies towards a more sustainable
and responsible future. This innovative approach has the potential to reshape the landscape of SSCM,
empowering organizations to forge a path towards enduring environmental stewardship, social
responsibility, and economic resilience.