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

Dolagobinda Das · Gauranga Charan Samanta · Abhijit Barman · Pijus Kanti De · Kshitish Kumar Mohanta

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Supply Chain and Inventory Management Sustainable Supply Chain Management COVID-19 Pandemic Impacts

Abstract

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.

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2020Food supply chains during the COVID‐19 pandemic 2021Impact of COVID-19 in food supply chain: Disruptions and recovery strategy 2007Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate 1993Economic production lot size model for deteriorating items with partial back-ordering 2018Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain 2013Seller’s optimal credit period and cycle time in a supply chain for deteriorating items with maximum lifetime 2007Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money 2018A credit policy approach in a two-warehouse inventory model for deteriorating items with price- and stock-dependent demand under partial backlogging

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