A recovery mathematical model for the impact of supply chain interruptions during the lockdown in COVID-19 using two warehouse perishable inventory policies

This study develops an inventory model for things that deteriorate at a rate that depends on time. The research work is about minimizing the total cost of a two-warehouse system during the lockdown period. We consider two scenarios and the LIFO policy has been used in this model. In the first scenario, the stocks of the rented warehouse (RW) become empty after the lockdown eased, and in the second scenario, the stocks of the RW become empty during the lockdown. Here, two parametric Weibull distributions for the deterioration rate and a time-dependent demand are taken into consideration. Subsequently, sensitivity analysis is examined for both scenarios by using two different examples to make the research more realistic. In an emergency like the COVID-19 epidemic, the models may be used effectively when taking into consideration the actual circumstances.