IN multi-product processing plants, when product demand exceeds the production capacity, the production planning and scheduling function becomes very important anc exceedingly difficult. The impact of poor scheduling can be significant in any plant. Therefore plant managers are forced to use modern (computer-aided) production scheduling techniques to arrive at decision with regard to overtime requirements, realistic delivery dates, and allocation of limited time and resources. In this paper a SLAM network model for a food processing plant and simulation results are presented. The simulation model was run to produce work schedules which minimize specified criterion for example of total processing time, mean flow time etc. Model results were used to monitor and evaluate the utilization of plant resources under five scheduling disciplines. The results indicate if the products with shortest processing time were produced first, approximately 9.25 h of labor per person per week could be saved. The results also showed such a production scheduling model could save substantial amount of labor and money through improved productivity.