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Navel selection for rotor spinning denim fabrics using a multi-criteria decision-making process

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dc.creator Majumdar, Abhijit
dc.creator Goktepe, Ozer
dc.creator KAPLAN, Sibel
dc.date 2009-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T09:43:38Z
dc.date.available 2020-10-06T09:43:38Z
dc.identifier 35db6816-01c1-478f-811b-6e1f798aff88
dc.identifier 10.1080/00405000802399619
dc.identifier https://avesis.sdu.edu.tr/publication/details/35db6816-01c1-478f-811b-6e1f798aff88/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/57254
dc.description Selection of navel rotor spinning machine, which influences various quality parameters of the final yarn, is a multi-criteria decision-making (MCDM) problem. Different statistical methods have been used in the past to address such kinds of problems. In this work, a suitable navel for denim fabrics was selected by combining two popular MCDM approaches namely, technique for order preference by similarity to ideal solutions (TOPSIS) and analytic hierarchy process (AHP). Ten navels were considered and their performances were evaluated on the basis of seven quality parameters of the produced rotor yarns (50 tex). Relative importance of the yarn quality parameters was evaluated by using AHP method, keeping in mind the requirements of denim fabric. The final ranking of navels was elicited in accordance with the relative closeness value determined by TOPSIS method.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Navel selection for rotor spinning denim fabrics using a multi-criteria decision-making process
dc.type info:eu-repo/semantics/article


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