In recent years, the supply chain concept has been focused by industrial and university centers. Supply chain management is consist of material management and information flow among the members of the constituent chain including suppliers, manufacturers, distributors, brokers, retailers and customers. Supply chains are generally complex with numerous activities usually spread over multiple functions or organizations and sometimes over lengthy time horizons.Supply chain members, usually have best performance in their scopes, but it may not lead to the optimum of the whole system. Therefore, a key issue in supply chain management, the development of mechanisms that can be given objectives to coordinate supply chain activities in order to optimize system performance. In this research, coordination between inventory and distribution problems in supply chain is studied. For this purpose, the two-level multi periods supply chain is defined that have some potential distribution centers and some retailers in it's first and second levels. In this supply chain, a variety of costs such as location cost for potential distribution centers, unit cost of sending goods, inventory holding cost in retailers and handling cost in them, is occurred in the whole system. The purpose of investigating this problem, is minimizing the sum of location, distribution and inventory holding costs, simultaneously. For the proposed problem, a mixed integer linear programming is proposed to minimize the costs. Since, MIP model is not able to solve large scale problems in a reasonable time, a heuristic method and a meta heuristic one (genetic algorithm) is proposed to solve the problem. Also, in this research computational experiments are done for investigating the effectiveness of proposed methods. Computational experiments indicates the effectiveness of heuristic and meta heuristic methods. Keywords: coordination of supply chain, inventory-distribution coordination