The proposed work shows an inventory model for non-instantaneous oxidizing products under a fuzzy environment. In the model, the shortage of inventory occurs due to partial backlog and the deterioration nature of the product. The holding cost pursues the effect of learning due to workers and other problems with all other cost parameters are considered as a hexagonal fuzzy number. Then defuzzify the total fuzzy inventory cost function by the centroid method. This research works to get optimal results with fuzzy costs. At the end of the chapter, a numerical explanation for the model with sensitivity analysis and graphical narration.