Green Inventory Model By Controlling Carbon Emissions Under Uncertainty

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Dr. S. Rexlin Jeyakumari. , Dr. M. Mary Mejrullo Merlin , M. Fabiana Jacintha Mary

Abstract

Lighting environmental sustainability in the society is possible by promoting green logistics to today’s production fields. On observing the drastic effects of carbon emission, few business sectors stepped into introducing green featured products to control GHG emissions. This paper on Green Inventory Model provides an approach to determine the optimum order quantity and optimum total cost with green atmospheric feature. graded mean integration representation method is applied for defuzzification and optimum order quantity is determined by using Kuhn-Tucker method. Numerical example is solved to illustrate the model.

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