This paper investigates the economic order quantity (EOQ) inventory problem with imperfect quality items, where the percentages of defective items and poor-quality items in each delivered lot are assumed to be random variables, and the inspection cost, holding cost, ordering cost are characterized as fuzzy variables, respectively. The fuzzy random expected value EOQ model and fuzzy random dependent chance programming (DCP) model are constructed. In addition, a particle swarm optimization (PSO) algorithm based on fuzzy random simulation is designed to solve the presented DCP model. Finally, the effectiveness of the algorithm is illustrated by a numerical example.