This paper addresses the problem of optimizing logistic processes that can be modeled as birth and death processes. A fuzzy decision making algorithm is proposed to dynamically assign components to orders. This algorithm tries to minimize the overall delivery delays and, at the same type, prefers orders with high priorities. A compromise between these conflicting goals is achieved by using weighted fuzzy aggregation. A logistic example shows the effectiveness of the proposed fuzzy method.