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 MULTIMOORA-mGqNN 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 decision making. 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.

Keywords

• neutrosophic sets
• sustainable supply chain management
• m-generalized q-neutrosophic numbers
• multimoora-mgqnn method
• decision-making
• uncertainty handling