This paper carries out a quantitative study on inventory problem of multi-echelonsupply chain on the condition of stochastic demand. The inventory system is alldivergent one. Firstly, the decentralized inventory system is considered. The optimalinventory level and ordering quantity under certain condition is obtained throughcomputing. A 1-wholesaler, N -retailers inventory system is study with emphasis. Thecost of inventory system is computed in a joined ordering policy. Then, a Stackelberggame which is played by installations under the condition that the warehouse is theleader. A framework for decentralized multi-echelon inventory system is completed.Coordinating ordering in supply chains through price discounts is studied. Supply chaincoordination issues are studied .Warehouse changes retailers'ordering interval bydiscounts price to minimize the system cost. The optimal ordering policy and orderinginterval of warehouse and retailer is ascertained. Finally, the multi-inventory systemwith information exchange is studied. A mechanism is designed that warehouse ordersbeforehand for retailers. A model of system cost is built. Method of searching optimalinventory policy is given. |