ABSTRACT
In the second wave of COVID-19 pandemic, there is another challenge to face: how to effectively dispense some medicines (like Remdesivir injection) amongst the multitudes to quickly achieve immunity against the corona infection. To overcome this situation, researchers and doctors are continuously active. This result into infected people get recovered. In this context, nations are now getting ready to face one more big challenge that is increases biomedical waste which causes carbon emissions. Since spoilage and deterioration results into a significant loss in medicines which hampers consumer’s satisfaction level as well affect the green environment. Keeping this in mind, the proposed article is addressed for an inventory model with carbon emissions sensitive demand which is a more realistic assumption and carbon tax policy is levied to diminish carbon emissions. A non-linear formulation is revealed with an objective to determine the optimum cycle length as to minimize total cost. The validity of the proposed model is demonstrated by presenting a numerical example. Sensitivity analysis is carried out to verify its factual practice. © 2021, International Forum of Management Scholars. All rights reserved.