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With the great process in taking people as the foremost, the individual needs of customers should be well taken into account in the design of limited resources services system. College canteens are the typical services systems of this kind. There are generally three types of personal request in the canteen services: (i) the concentration of students after school has an impact on the peak with service intensity greater than 1. (ii) There are random factors in the choosing of menus of the students with certain preference. (iii) Long queue leads to long waiting time and significant increase of impatient students. Classical queuing theory has difficulties in characterizing the dynamic characteristic of college canteen queue system. In this paper, we conduct the simulation and optimization on the service system using Monte Carlo techniques. We modeled the customer preferences and impatience degree considering the average waiting time of customers, which is obtained by analyzing the sampling survey raw data. The simulation results match the configuration of the actual colleage canteen with high satisfaction of students. This ideas of modeling and simulation method proposed in this paper can be broadly applied to limited resources queuing systems in the limited environment.