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 level, 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. cost and also risk level under constraints including available budgetary, the least service
کلید واژگان :inventory costs, shortage cost, holding cost, ordering cost, (r,Q) inventory control model, multi objective programming, fuzzy-chance constrained programming, flexible programming, stochastic programming, risk level
ارزش ریالی : 300000 ریال
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