Modeling a dynamic design system using the Mahalanobis Taguchi system: two-step optimal algorithm

Authors:
Tsung-Shin Hsu;Ching-Lien Huang
Affiliations:
Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.;Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, R.O.C. and Department of Industrial Management, Lunghwa University of Science and T ...
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Year:
2010

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Abstract

This work presents a novel algorithm, the Mahalanobis Taguchi System-Two Step Optimal algorithm (MTS-TSO), which combines the Mahalanobis Taguchi System (MTS) and Two-Step Optimal (TSO) algorithm for parameter selection of product design, and parameter adjustment under the dynamic service industry environments. From the results of the confirm experiment, a service industry company is adopted to applies in the methodology, we find that the methodology of the MTS-TSO algorithm can easily solves pattern-recognition problems, and is computationally efficient for constructing a model of a system. The MTS-TSO algorithm is good at pattern-recognition and model construction of a dynamic service industry company system.