Abstract
This article presents a framework for generating knowledge using computer simulation for problems that are constrained by expert availability and knowledge acquisition. The methodology is developed in the context of sawmill industry. A range of sawmill manufacturing configurations are modeled and analyzed under different operating conditions. The simulation results are used to develop relationships among operating variables and system constraints. Simulation experiments are then used to identify and evaluate solution strategies for handling the constraints. The result is a simulation model with an embedded knowledge base for decision support in sawmill management.