Abstract
(Q, R) Model is an important control model in inventory management but it is inefficient at utilizing the abundant information of commodity circulation from supply chain. Hence (Q, R) Model can’t adjust the ordering policy dynamically and timely. In this paper, we construct a Compound (Q, R) Model which takes advantages of RFID’s information collection based on (Q, R) Model and researches the inventory management under the circumstances of timely collection of the retail inventory data. Then the article proposes Hong He (Ruan Jia) Cigarette’s inventory management as an example using genetic algorithms to solving simulation optimization problems. Finally, the results show that the Compound (Q, R) Model can reduce inventory level save more inventory cost and satisfy customers’ needs better comparing with traditional (Q, R) Model and it has better inventory management control effect.
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