Paper Info
Title
Developing an integrated model for the evaluation and selection of six sigma projects based on ANFIS and fuzzy goal programming
Abstract
Six sigma is one of the most popular tools to eliminate waste in organizations, reduce the cost and improve quality. The process of creating and evaluating projects is an initial activity in implementing six sigma. This paper aims at proposing a comprehensive methodology for the evaluation and selection of the six sigma projects. For the evaluation of projects, reviewing the literature and decision team's opinion, we identified three main categories of criteria including business criteria, technological & process criteria and financial criteria which contain eight sub-criteria. For deriving the overall utility of projects, we designed an adaptive neuro fuzzy inference system which is capable to consider interrelations among criteria. Then, applying a fuzzy weighted additive goal programming model, we obtained the optimal portfolio of projects which should be implemented. Finally, we applied the proposed model in a leading company in Iran to illustrate the applicability of the model.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.07.024
Expert Syst. Appl.
Keywords
Field
DocType
financial criterion,six sigma,fuzzy goal programming,comprehensive methodology,decision team,business criterion,integrated model,project selection,sigma project,fuzzy weighted additive goal,adaptive neuro fuzzy inference,programming model,process criterion,adaptive neuro fuzzy inference systems,adaptive neuro fuzzy inference system,goal programming
Six Sigma,Computer science,Design for Six Sigma,Fuzzy logic,Portfolio,Project selection,Artificial intelligence,Fuzzy goal programming,Goal programming model,Adaptive neuro fuzzy inference system,Machine learning
Journal
Volume
Issue
ISSN
38
1
Expert Systems With Applications
Citations 
PageRank 
References 
11
0.73
8
Authors
2
Name
Order
Citations
PageRank
Abbas Saghaei1417.70
Hosein Didehkhani2313.30