Fuzzy-Chance Constrained Multi-Objective Programming Applications for Inventory Control Model

In this paper we have developed the traditional inventory control model (r,Q) taking into account a multi-item models with two objectives to minimize holding costs and shortage cost and also risk level under constraints including available budgetary, the least servicelevel, storage spaces & allowed quantities of shortage. According to proposed model demand is potential and follows the distribution and extra demands encounter lost sales. Space storage is counted as a fuzzy- chance parameter with normal distribution. Budgetary parameters are available and the maximum allowed shortage is a fuzzy triangular number. The methodology that has been used in proposed solution changed model to a crisp multiobjective problem using defuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then we solve it using fuzzy arithmetic concepts.

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