A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs Noorizadeh, Abdollah, Saen, Reza Farzipoor and Mahdiloo, Mahdi 2014, A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs, International journal of services and operations management, vol. 17, no. 3, pp. 280-293, doi: 10.1504/IJSOM.2014.059560. Attached Files Name Description MIMEType Size Downloads Title A new model for ranking suppliers in the presence of both undesirable and non-discretionary outputs Author(s) Noorizadeh, Abdollah Saen, Reza Farzipoor Mahdiloo, Mahdi orcid.org/0000-0002-7144-5299 Journal name International journal of services and operations management Volume number 17 Issue number 3 Start page 280 End page 293 Total pages 14 Publisher Inderscience Publishers Place of publication Olney, Eng. Publication date 2014-03-11 ISSN 1744-2370 1744-2389 Summary Data envelopment analysis (DEA) can be used for supplier selection problem due to its multiple criteria nature. In suppliers' evaluation, there might be some factors, which are beyond the control of their management, that are needed to be modelled in an appropriate way. Also, there are some situations in which some factors are undesirable and they are favourable to be decreased. The aim of this paper is to propose a model for evaluation of suppliers' performance in the presence of both undesirable and non-discretionary outputs. This model can rank efficient suppliers by a super-efficiency DEA model. A numerical example has sought to demonstrate that the proposed model is actually applicable.Copyright Language eng DOI 10.1504/IJSOM.2014.059560 Field of Research 1503 Business And Management 1505 Marketing Socio Economic Objective 0 Not Applicable HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Inderscience Enterprises Persistent URL http://hdl.handle.net/10536/DRO/DU:30092350 Document type: Journal Article Collections: Faculty of Business and Law Department of Information Systems and Business Analytics Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 28 Mar 2017, 14:20:46 EST Wed, 29 Mar 2017, 04:01:26 EST Wed, 29 Mar 2017, 05:06:26 EST Mon, 01 May 2017, 10:35:02 EST Mon, 01 May 2017, 10:38:09 EST Tue, 06 Feb 2018, 13:25:28 EST Tue, 06 Feb 2018, 13:26:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 317 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 28 Mar 2017, 14:20:46 EST

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