Tetranychus urticae is one of the main pests of agricultural crops in the world. To regulate their populations have used different strategies among which chemical control stands. However, the continued use of this strategy has generated resistance in the pest causing farmers interest in alternatives for management like biological control with predatory mites such as Phytoseiulus. The use of biological control for this pest has been successful when there is availability of the natural enemy. However, in countries like Colombia where the predatory mite is not commercially available, the development of mass rearing system is necessary as an alternative to ensure delivery. Due to the complexity of the ecological interactions of a massive breeding, understand and manage the system may be very difficult. In cases like this, the development of simulation models make possible to take into account the most relevant variables of the system becomes a useful tool for optimizing the production scheme. Therefore, the objective of this work was to develop a simulation model to evaluate scenarios to optimize the system for mass breeding of mites predators. The approach proposed by Gutierrez A. P. 1996 was used as a theoretical basis for modeling the structure of populations, where it is assumed that all individuals facing same problems of acquisition (functional response) and allocation (response number) of resources at all trophic levels, and abiotic factors such as temperature can affect the development of individuals. Furthermore, it includes paradigm of metabolic pool as a criterion for prioritizing the allocation of resources and interactions and population growth are regulated by supply relationship demand for resources. It was found that initial densities of pest infestation between 45 and 62 individuals / plant generate similar final population sizes and initial values greater than 62 individuals / plant, have no significant effect on the final population. However, the age of the plants at the time of the infection itself affects the pests growth. Previous work suggested 28 days optimal age of infestation (Bustos et al., 2009) but the results here suggest that it may be considered field evaluation of earlier infestations at 14 and even 7 days old The introduction of five to 40 predators per plant on plants infested with T. urticae seven or fourteen days, populations can reach up to 1700 individuals / plant, 20 days after the predator entry system. These results suggest that management of the entire system must be evaluated under current conditions of mass rearing considering the times and densities suggested in order to optimize production. However, it should be noted that the data used to evaluate the fit of model were experimentally collected under optimal conditions for individuals and plants, and these conditions are difficult to maintain in a system of mass rearing because the scaling of the system can affect the trends found in this work.