Fuzzy Economic Order Quantity Model With Ranking Fuzzy Number Cost Parameters
Yugoslav journal of operations research, Tome 22 (2012) no. 2, p. 247 .

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In this paper, a multi-objective economic order quantity model with shortages and demand dependent unit cost under storage space constraint is formulated. In real life situation, the objective and constraint goals and cost parameters are not precisely defined. These are defined in fuzzy environment. The cost parameters are represented here as triangular shaped fuzzy numbers with different types of left and right branch membership functions. The fuzzy numbers are then expressed as ranking fuzzy numbers with best approximation interval. Geometric programming approach is applied to derive the optimal decisions in closed form. The inventory problem without shortages is discussed as a special case of the original problem. A numerical illustration is given to support the problem.
Classification : 90B05
Keywords: Inventory, ranking fuzzy number, geometric programming.
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     author = {Nirmal Kumar Mandal},
     title = {Fuzzy {Economic} {Order} {Quantity} {Model} {With} {Ranking} {Fuzzy} {Number} {Cost} {Parameters}},
     journal = {Yugoslav journal of operations research},
     pages = {247 },
     publisher = {mathdoc},
     volume = {22},
     number = {2},
     year = {2012},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2012_22_2_a5/}
}
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Nirmal Kumar Mandal. Fuzzy Economic Order Quantity Model With Ranking Fuzzy Number Cost Parameters. Yugoslav journal of operations research, Tome 22 (2012) no. 2, p. 247 . http://geodesic.mathdoc.fr/item/YJOR_2012_22_2_a5/