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Due to the environment of corona virus pandemic, a huge problem arises in the market, due to which the retailer keeps his items lying, and those items start to deteriorate. He is unable to get the new goods from suppliers and get a shortage. We established an optimal policy for mathematical inventory model for decaying items under preservation technology (PT) with learning effect. This model is starting with partially backlogging shortage. The investment in Preservation technology is used so that the items deposited with the retailer do not deteriorate. In this model learning effect and preservation technology plays a very important role. Which the help of the total cost is reduced and maintains the quality of the environment. We show that the total cost is a convex function. Finally, some figures are presented to highlight the numerical examples and sensitivity results. And performed using the Mathematicia-9.0 software.

malaya journal of matematik

Learning effect on an optimal policy for mathematical inventory model for decaying items under preservation technology with the environment of COVID-19 pandemic