Abstract
The paper discusses about minimizing the total cost in an economic order quantity by applying geometric programming. In order for a smooth functioning ofinventory management system the assortment of stocks and various costs along with demand have to be perfectly balanced. The sustainable model considers the carbon emissions with limitations on warehouse capacity. The parameter demand is fuzzified by using hexagonal fuzzy numbers and varying the defuzzification methods and results are analyzed. Numerical calculations are done by applying python programming. Also, sensitivity analysis is done for the demand parameter and compared among with three defuzzification methods donein both crisp and fuzzy environment.
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