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

Abstract

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. 

DOI: 10.5281/zenodo.16934645