In this paper, an empty bike redistribution problem arising in a public bike rental system is handled. The problem is related to decision on redistribution of limited resources in order to maximize the customer satisfaction. The proposed decision mechanism resembles (s, Q) reorder point policy used in common inventory control. Provided with real-time data on current status of resources (bikes and mounts), the decision is easily made. Throughout simulation study with input modeling of Tashu public bike system operated in Daejeon, Korea, the parameter values in the redistribution decision have been analyzed.