An Economic Production Quantity Model Approach by Lowering the Impact of Carbon Emission under Uncertain Environment

The primary factor of rising global temperatures is the increase in carbon dioxide emissions, which have serious consequences on both ecological and social well-being worldwide. It contributes to environmental damage and poses various health hazards to society. This study aims to develop a fuzzy economic production quantity model with emission reduction strategies to promote economic profitability and ecological sustainability in inventory functions. Two models were developed: the fuzzy model and the crisp model. The parameters in this research work are taken as trapezoidal fuzzy numbers. The Yager ranking method and beta distribution methods are used for the solution procedure. A numerical example is used for a better understanding of the research work.