PRESERVATION-BASED INVENTORY MODEL WITH THE EFFECT OF LEARNING UNDER THE CONDITIONS OF CARBON EMISSIONS

Abstract

The present chapter developed a preservation-based inventory model under the condition of carbon emissions and the effect of learning on perishable goods. Carbon emissions exit from many sources and affect the greening level of the environment. It is considered that carbon emissions exit due to electricity and also for many more reasons. Finally, total inventory cost will be minimized concerning the cycle length. For the validation of this model, a numerical example has been given and briefly justified with the help of sensitivity analysis. The effect of inventory parameters has shown separately in the sensitivity section.

Keywords

• learning effects
• carbon emissions
• perishable items
• optimization
• preservation technology