Taxonomical Review of the Evolution from Deterministic to Fuzzy-Neutrosophic Inventory Models for Sustainable Supply Chain Optimization

Abstract

This study offers a pioneering synthesis of cutting-edge advancements in inventory and supply chain optimization, focusing on fuzzy logic, Intuitionistic, and Neutrosophic frameworks. Bridging theoretical rigor with real-world applicability, it traces the evolution from classical EOQ models to intelligent, AI-driven systems that thrive in uncertain, complex environments. This review provides a strong classification by navigating innovations on the demand models, integration of sustainability, financial constraints, and algorithm-based optimization. This paper elucidates that Neutrosophic logic enables sustainable, strategic, and transformational decision-making, which also provides a useful guide for future studies towards the third-generation inventory systems.