Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1302
Title: A hybrid approach for supplier selection based on revised data envelopment analytic hierarchy process
Authors: Aggarwal, Remica
Singh, Sanjeet P.
Keywords: Ahp
Analytic hierarchy process
Data envelopment analysis
Dea
Deahp
Mcdm
Supplier selection
Supply chain
Issue Date: 2018
Publisher: SCOPUS
International Journal of Operational Research
Inderscience Publishers
Series/Report no.: 31(4)
Abstract: For most managers, purchasing decisions are key decisions in the achievement of business organisation's strategic objectives. Appropriate supplier selection is necessary as it fulfils these important objectives of the organisation by maximising overall value to the purchaser, reducing uncertainty in supply, and by forming a long term, reliable relationship between buyers and suppliers. Supplier selection being affected by several conflicting factors requires an appropriate multi-criteria decision making approach. One of the recent approaches used for supplier selection is a hybrid data envelopment analytic hierarchy process (DEAHP) approach. However, this approach suffers from serious drawbacks as it uses counter intuitive priority vectors for inconsistent pair wise comparison matrices and also at times, it generate illogical weights for consistent pair wise comparison matrices as well. The objective of this paper is to present a revised DEAHP (RDEAHP) approach to overcome these drawbacks of DEAHP. The uniqueness of the research lies in the application of RDEAHP approach for supplier selection problem. Copyright � 2018 Inderscience Enterprises Ltd.
Description: Aggarwal, Remica, Department of Management, Birla Institute of Technology and Science, Pilani, 333031, India; Singh, Sanjeet P., Operations Management Group, Indian Institute of Management Calcutta, Kolkata, 700104, India
ISSN/ISBN - 17457645
pp.478-509
DOI - 10.1504/IJOR.2018.090428
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044329377&doi=10.1504%2fIJOR.2018.090428&partnerID=40&md5=0c941ab3dec7cea2d3f6e95c89a05fbb
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1302
Appears in Collections:Operations Management

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