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Mathematical Problems in Engineering
Volume 2014, Article ID 730934, 13 pages
http://dx.doi.org/10.1155/2014/730934
Research Article

Applying a Hybrid MCDM Model for Six Sigma Project Selection

1Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
2Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, New Taipei, Taiwan
3Institute of Management of Technology, National Chiao Tung University, Hsinchu, Taiwan

Received 27 September 2013; Revised 17 November 2013; Accepted 19 November 2013; Published 26 February 2014

Academic Editor: Hao-Chun Lu

Copyright © 2014 Fu-Kwun Wang et al. 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.

Abstract

Six Sigma is a project-driven methodology; the projects that provide the maximum financial benefits and other impacts to the organization must be prioritized. Project selection (PS) is a type of multiple criteria decision making (MCDM) problem. In this study, we present a hybrid MCDM model combining the decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and the VIKOR method to evaluate and improve Six Sigma projects for reducing performance gaps in each criterion and dimension. We consider the film printing industry of Taiwan as an empirical case. The results show that our study not only can use the best project selection, but can also be used to analyze the gaps between existing performance values and aspiration levels for improving the gaps in each dimension and criterion based on the influential network relation map.