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
