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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11669
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dc.contributor.authorSangwan, Kuldip Singh-
dc.date.accessioned2023-08-25T10:49:02Z-
dc.date.available2023-08-25T10:49:02Z-
dc.date.issued2015-04-
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/BIJ-05-2013-0062/full/html?utm_campaign=Emerald_Strategy_PPV_November22_RoN-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11669-
dc.description.abstractThe efficiency and effectiveness of reverse logistics (RL) is dependent on collection methods as the collection activities are critical in determining the economic viability of the entire recovery chain. The purpose of this paper is to evaluate the various collection methods used in RL under uncertain environment.en_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectMechanical Engineeringen_US
dc.subjectLogisticsen_US
dc.subjectAnalytical hierachy processen_US
dc.titleEvaluation of collection methods in reverse logistics by using fuzzy mathematicsen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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