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چکیده
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tIn this paper, a bi-objective multi-product (r,Q) inventory model in which the inventory level is reviewed continuously is proposed. The aim of this work is to find the optimal value for both order quantity and reorder point through minimizing the total cost and maximizing the service level of the proposed models imultaneously. It is assumed that shortage could occur and unsatisfied demand could be backordered,too. There is a budget limitation and storage space constraint in the model. With regard to complexity ofthe proposed model, several Pareto-based meta-heuristic approaches such as multi-objective vibrationdamping optimization (MOVDO), multi-objective imperialist competitive algorithm (MOICA), multi-objective particle swarm optimization (MOPSO), non-dominated ranked genetic algorithm (NRGA), andnon-dominated sorting genetic algorithm (NSGA-II) are applied to solve the model. In order to comparethe results, several numerical examples are generated and then the algorithms were analyzed statisticallyand graphically.
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