Optimized Time and Price Sensitive Fuzzy Inventory Model for Seasonal Deteriorating Products

Abstract

Under partial backlogging, this study develops an improved fuzzy inventory model for deteriorating seasonal products with time and price-sensitive demand. By adding triangular fuzzy numbers for deterioration rates, holding costs, and production costs, the new model enhances earlier approaches. To ensure practicality, the model is solved using the Graded Mean Integration Representation (GMIR) technique. The effect of changing system parameters on inventory performance is assessed through sensitivity analysis. The findings demonstrate that fuzzy techniques are effective in increasing profitability and making decisions in industries that produce deteriorating products.