ABSTRACT In the early 1970s, based on single index deducted from absolute quality deviants, Genichi Taguchi proposed the quality loss module. This module builds the foundation of his three-stage design theory, e.g. system design, parameter design and tolerance design. In actual production process, nevertheless, it is multiple quality indices that influence the total quality. Consequently, the interaction of the quality indices should be imported into the module as a key factor. Accordingly, based on several indices of relative quality deviation, introduce a 2-order multivariate quality module at first. Next, extend the module to 3 or even higher orders. Then, improve the previous quality module by simplifying the 2-order module as a multivariate quality loss module. Finally, bring forward a significant solution to determinate all the coefficients in the multivariate quality loss module and describe its work flow as well.
Cite this paper
nullS. Fan and X. Cao, "Multivariate Quality Loss Model and its Coefficient Determination," Journal of Service Science and Management, Vol. 3 No. 1, 2010, pp. 106-109. doi: 10.4236/jssm.2010.31013.
 G. Taguchi, “Quality engineering [M],” China Translation and Publishing Corporation, December 1985.
 H. J. Powell, “Quality tools for high value fabrications [J],” Welding in the World, No. 46 (SPEC), pp. 275–280, July 2002.
 R. Rai and V. Allada, “Modular product family design: Agent-based pareto-optimization and quality loss function-based post-optimal analysis [A],” International Journal of Production Research, Vol. 41, No. 17, pp. 4075– 4098, November 20, 2003.
 S. H. Fan, “Studies on Grey theory based intelligent methods and their applications to MCMQC [D],”
Tsinghua University, Beijing, June 2004.
 W. M. Chan, R. N. Ibrahim, and P. B. Lochert, “Quality evaluation model using loss function for multiple S-type quality characteristics [J],” International Journal of Advanced Manufacturing Technology, Vol. 26, No. 1–2, pp. 98–101, 2005.
 R. Khorramshahgol and G. R. Djavanshir, “The application of analytic hierarchy process to determine proportionality constant of the Taguchi quality loss function [J],” IEEE Transactions on Engineering Management, , Vol. 55, No. 2, pp. 340–348, May 2008.
 S. H. Fan, “The coefficient determination of multivariate quality loss model,” IEEE EMS’07, 2007.
 G. X. Zhang, “Quality management [M],” Higher Education Press, Beijing, 1998.
 S. H. Fan, T. Y. Xiao, et al., “Building the dynamic network of mass customization [J],” Journal of System Simulation, Vol. 16, No. 7, pp. 1597–1599, 2004.
 S. H. Fan, T. Y. Xiao, et al., “Model building of the dynamic network in MCMQA [J],” Journal of System Simulation, Vol. 16, No. 12, pp. 2767–2769, 2004.
 P. Melin and O. Castillo, “A general method for surface quality control in intelligent manufacturing of materials using a new fuzzy-fractal approach fuzzy [A],” Information Processing Society, NAFIPS, 18th International Conference of the North American, pp. 10–12, June 1999.
 M. Q. Zhu, “Artificial neural network approach of quality control for intelligent manufacturing system [J],” Acta Aeronautica et Astronautica Sinica, Vol. 18, No. 5, pp. 603–606, 1997.
 S. Fan, “Studies on the application of grey genetic algorithm in dynamic network of MCMQA,” Mechanical Science and Technology, Vol. 25, No. 8, pp. 984–988, August 2006.
 S. Fan, “E-factory based agile-maintenance simulation- platform,” Journal of System Simulation, Vol. 19, No. 5, pp. 1151–1153, May 2007.