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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

Fuzzy economic order quantity model with ranking fuzzy number cost parameters