The negotiated scheduling problem of distributor is studied for a supply chain that consists of a manufacture and a distributor. The manufacturer is more influential than the distributor. It makes scheduling decisions followed by the distributor. The manufacture and distributor do not share information during the process time of any job. To improve scheduling results of the distributor, a negotiation model is built based on compensation mechanism. A negotiated scheduling strategy with information privacy is designed. A distributor negotiation-scheduling algorithm that consists of a scheduling algorithm of the manufacturer and ecologic population competition based coevolutionary algorithm of the distributor is designed and analyzed. Simulation experiments show that the negotiated scheduling of the distributor can effectively improve the scheduling performance of the distributor. Scheduling cost of the distributor can be cut down over 25% while the scheduling performance of the manufacturer does not become worse. Moreover, the proposed coevolutionary algorithm can obtain better scheduling solutions than the genetic, particle swarm optimization, and ant colony optimization algorithms.