The perishable products go bad easily in transportational process and have the trait of timeliness and incident among goods. This paper proposed a mathematical model of Incident Vehicle Route Problem with Time Window (IVRPTW) to consider production distribution for perishable products.And adapt the Immune Clonal Selection Algorithm(ICSA) to solve this complex problem. On the basis of modeling and simulating examples of this problem, it is shown that the programming model and algorithm are reasonable and efficient.Experiment result also shows the immune clonal selection algorithm can find the optimal or nearly optimal solution effectively compared with the genetic algorithm.