Abstract
In this paper, an unconstrained multi item inventory model for a single vendor and single buyer with constant demand is considered. Fuzzification was done by using five different types of fuzzy numbers, which are triangular, trapezoidal, pentagonal, hexagonal, and octagonal. To minimize the total cost of the (EOQ) Economic order quantity, is solved by using geometric programming, it gives maximize the optimal Shipment order quantity and optimal Shipment and The optimal policy for the developed model is determined using the geometric programming after the defuzzification of the cost function with the Robust ranking and singed distance method. We acquainted a substitute arrangement with the manual figuring’s, supplanted by python program which lessens the endeavours and blunders. Mathematical models and an affectability investigation study are given to feature the contrasts among crisp and the fuzzy cases.
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