This study presents some analysis concepts and decision tools for the problems encountered in designing and implementing a flexible manufacturing system. SIM-Q, an input-generator for simulation modelling developed in this study provides a powerful and expedient tool for resolving the material handling system selection, work scheduling, input control, and real time operation problems. The problem of input control is examined using SIM-Q and the viability of operating a flexible manufacturing system as a programmable transfer line is explored. SIM-Q is also used in this study to test the robustness of CAN-Q in modelling an existing FMS. A linear zero-one linear programming model is formulated for the machine mapping and pooling problem. The system synthesis problem is solved by applying CAN-Q in an interactive computer program developed in this study. This model provides an integrated approach to the product selection and machine requirements planning problems. Finally, a dynamic decision approach to the justification of the FMS is developed and presented by imbedding queueing theory with simulation in a decision analysis framework. / Ph. D.