Six-Sigma project selection using national quality award criteria and Delphi fuzzy multiple criteria decision-making method

2009 ◽  
Vol 36 (4) ◽  
pp. 7594-7603 ◽  
Author(s):  
Taho Yang ◽  
Chiung-Hsi Hsieh
Keyword(s):  
Decision Making ◽  
Six Sigma ◽  
Multiple Criteria Decision Making ◽  
Project Selection ◽  
Multiple Criteria ◽  
National Quality ◽  
Quality Award ◽  
National Quality Award

scholarly journals Applying a Hybrid MCDM Model for Six Sigma Project Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Fu-Kwun Wang ◽  
Chen-Hsoung Hsu ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Six Sigma ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Project Selection ◽  
Printing Industry ◽  
Model Combining ◽  
Financial Benefits ◽  
Aspiration Levels ◽  
Network Process

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.

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