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Growing Science » Authors » Hamidreza Amirimoghadam

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1.

Six sigma project selections using fuzzy network-analysis and fuzzy MADM Pages 87-96 Right click to download the paper Download PDF

Authors: Hassan Farsijani, Mohsen Shafiei Nikabadi, Hamidreza Amirimoghadam

Keywords: Decision Making, Fuzzy Analytical Network Process, Fuzzy Logic, Fuzzy VIKOR, Project Selection, Six Sigma, TOPSIS

Abstract:
Six Sigma is a philosophy of unremitting improvement and excellence in all aspects. The concept is a satisfactory modification process tool through customers, continuous improvement and stakeholder participation. Six Sigma is considered as statistical analysis, assessment scales and customer-oriented production accomplishments and it leads to defect production reduction. This paper recommends an approach to select Six Sigma projects using fuzzy multiple attribute decision making techniques composed with another concoction tool. Through insightful quarrying of literature, rudimentary criteria for selecting Six Sigma projects were revealed. The fundamental criteria were identified consuming the fuzzy hypothesis test. Having identified the most indispensable criteria, the weight of criteria were determined. Appling FANP techniques. Having calculated the weights pertinent to criteria through three methods, SAW, TOPSIS, and Fuzzy VIKOR, Six Sigma projects were introduced and prioritized. Applying the three methods engendered various results, which required the application of an amalgamation technique, entitled as Borda and it helped to clarify the final project rate.
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Journal: DSL | Year: 2015 | Volume: 4 | Issue: 1 | Views: 2754 | Reviews: 0

 

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