Treffer: A Neutrosophic EOQ Model with Demand-Dependent Order Price and Restricted Storage Area Using NSNLP and NSGP Methods.

In this study, a neutrosophic Economic Order Quantity (EOQ) model is developed to effectively capture the indeterminacy and imprecision present in real-world inventory systems. By incorporating neutrosophic logic which extends classical and fuzzy logic through truth, indeterminacy, and falsity degrees--the model addresses uncertainty in both demand and cost parameters. The model considers demand-dependent unit pricing and restricted storage capacity, both are modelled as neutrosophic variables. Numerical simulations using MATLAB show that the Neutrosophic Geometric Programming (NSGP) method achieves the lowest total cost ($10,200), outperforming both Neutrosophic Nonlinear Programming (NSNLP, $10,500) and traditional fuzzy EOQ ($11,000). The proposed approach demonstrates superior adaptability to storage and cost variations, confirming its robustness for uncertain inventory environments. [ABSTRACT FROM AUTHOR]