Pythagorean Fuzzy Entropy Order Quantity Model for Imperfect Quality Items with Emission Considerations

Abstract

                Pythagorean Fuzzy Entropy Order Quantity (PFEnOQ) model has been developed with the focus on a supply chain system that contains a % of defectives items in its delivery lot. The processing of defectives items increase carbon emission, which under a carbon tax policy, affects supply chain decisions. For the smooth running of a business, entropy cost may be more relevant, this provides an estimation of hidden or difficult to estimate cost inventory systems that usually are the result of the disorder. A comparative study on numerical results is analyzed. Sensitivity analysis and graphical illustrations are made to justify the model.