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Mathematical Problems in Engineering
Volume 2013, Article ID 765956, 8 pages
Research Article

Reduced Multivariate Polynomial Model for Manufacturing Costs Estimation of Piping Elements

1School of Computer Science Engineering, Pontificia Universidad Católica de Valparaíso, 2362807 Valparaíso, Chile
2School of Mechanical Engineering, Pontificia Universidad Católica de Valparaíso, 2430120 Valparaíso, Chile

Received 10 January 2013; Revised 18 March 2013; Accepted 18 March 2013

Academic Editor: M. Onder Efe

Copyright © 2013 Nibaldo Rodriguez and Orlando Duran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper discusses the development and evaluation of an estimation model of manufacturing costs of piping elements through the application of a Reduced Multivariate Polynomial (RMP). The model allows obtaining accurate estimations, even when enough and adequate information is not available. This situation typically occurs in the early stages of the design process of industrial products. The experimental evaluations show that the approach is capable, with a low complexity, of reducing uncertainties and to predict costs with significant precision. Comparisons with a neural network showed also that the RMP performs better considering a set of classical performance measures with the corresponding lower complexity and higher accuracy.