Applying a Hybrid MCDM Model for Six Sigma Project Selection. (26th February 2014)

• Record Type: Journal Article
• Authors: Wang, Fu-Kwun; Hsu, Chen-Hsoung; Tzeng, Gwo-Hshiung
• Other Names: Lu Hao-Chun Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-02-26
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/730934
• Languages: English
• ISSNs: 1024-123X

Abstract

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.