Authors: Bharatendra K. Rai, Nanua Singh
Addresses: Charlton College of Business, University of Massachusetts Dartmouth, North Dartmouth, MA 02747, USA. ' Department of Industrial Engineering, Wayne State University, Detroit, MI 48202, USA
Abstract: Computer experiments play an important role in a product development process. When the input-output relationship in a computer experiment is known through a transfer function equation, the experimental runs are computationally inexpensive to carry out. The objective of developing a meta-model in such situations is mainly optimisation as prediction is easily achieved using the transfer function. This is in contrast to computer experiments where experimental runs are expensive and the main objective of developing meta-models is prediction and/or optimisation. In this paper, we provide an optimisation procedure that uses meta-models developed from computer experiments using symmetric Latin hypercube designs. This approach is demonstrated using transfer function of a filter circuit.
Keywords: computer experiments; transfer function; symmetric Latin hypercube design; SLHD; regression models; empirical integrated square errors; product development; circuit optimisation; metamodels; filter circuits.
International Journal of Product Development, 2007 Vol.4 No.5, pp.442 - 458
Published online: 06 Apr 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article