A mathematical model for optimal and phased implementation of flexible manufacturing systems

The mathematical programming is one of the analytical techniques previously used for the justification and the selection of advanced manufacturing systems. In this paper an integrated dynamic programming model has been introduced in order to analyze the optimal and phased implementation of flexible technology in a manufacturing system. The objectives of the model are minimizing the cost network flow and represented capital investment decisions, aggregate production decisions, and the functional of the production costs.