This study proposes a decision support model for the design and evalua
tion of FMS. The model optimizes the profit by analyzing the interacti
on between candidate part types and FMS configuration under the constr
aints of production requirement and cost effectiveness. The model is s
olved by using the closed queueing network model and optimization mode
l iteratively. The throughput of current FMS configuration is evaluate
d by the closed queueing network model, and then its results are fed t
o the optimization model for the selection of best combination of part
types and production resources. The resulting solution gives answers
to a series of decision problems at the initial design stage of FMS. A
n example problem is presented to show the superiority of the proposed
approach. (C) 1997 Elsevier Science Ltd.