A simulation based decision model for a fish processing facility

Abstract The single, most important production method in the fish processing industry is quick-freezing. The quick-freezing process in a typical fish processing plant is described. The network simulation model is then developed using the S imulation L anguage for A lternative M odeling (SLAM). The results from the model include utilization of machines and workers, in-process inventory levels, and throughput times. Sensitivity analysis is performed on some of the major factors that can affect the efficiency of the system. A front-end interface to the simulation model is developed which facilitates the user in entering input parameters to the model without the need to learn the simulation language. The model provides a methodology for evaluating alternative production strategies for a fish processing facility.