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Supplier selection using a new russell model in the presence of undesirable outputs and stochastic data

journal contribution
posted on 2023-02-01, 01:21 authored by Majid Azadi, R F Saen
Supplier selection is one of the significant topics in Supply Chain Management (SCM). One of the techniques tli{dotless}at can be used for selecting suppliers is Data Envelopment Analysis (DEA). In this study, to handle uncertainty in supplier selection problem, a new Russell model in the presence of undesirable outputs and stochastic data is developed. This study proposed a deterministle equivalent of the stochastic model and convert this deterministle problem into a quadratic programming problem. This quadratic programming problem is then solved using algorithms available for this elass of problems. A numerical example is presented to demonstrate the applicability of the proposed approach. © 2012 Asian Network for Scientific Information.

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Journal

Journal of Applied Sciences

Volume

12

Pagination

336 - 344

ISSN

1812-5654

eISSN

1812-5662

Publication classification

CN.1 Other journal article

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