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Purpose: The main objective of this paper is to propose an RD method by developing a neural network (NN)-based estimation approach in order to provide an alternative aspect of response surface methodology (RSM).Methods: A specific modeling procedure for integrating NN principles into response function estimations is identified in order to estimate functional relationships between input factors and output responses. Finally, a comparative study based on simulation is performed as verification purposes.Results: This simulation study demonstrates that the proposed NN-based RD method provides better optimal solutions than RSM. Conclusion:The proposed NN-based RD approach can be a potential alternative method to utilize many RD problems in competitive manufacturing nowadays.