The main objective of this study is to find the optimum values of design and operational parameters related to worker flexibility in a Dual Resource Constrained (
) assembly line considering the performance measures of Hourly Production Rate (
), Throughput Time (
) and Number of Worker Transfers (
). We used Artificial Neural Networks (
) as a simulation metamodel to estimate
assembly line performances for all possible alternatives. All alternatives were evaluated with respect to a utility function which consists of weighted sum of normalized performance measures.