A new hybrid decision making system for supplier selection

J. Jassbi; R. Farzipoor Saen; F. Hosseinzadeh Lotfi; Sh S. Hosseininia

doi:10.1051/ro/2015051

A new hybrid decision making system for supplier selection

J. Jassbi, R. Farzipoor Saen, F. Hosseinzadeh Lotfi, Sh S. Hosseininia

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The objective of this paper is to develop a hybrid decision making system using Data Envelopment Analysis (DEA) and linguistic fuzzy models for selecting the best supplier in the presence of multiple decision makers. In this hybrid system, first the weights of selected criteria are obtained from each of the decision makers as linguistic fuzzy numbers within the framework of group decision making. Then, to select the best supplier, absolute weight restriction (AWR) model is incorporated into the DEA model. A real case study demonstrates the application of the model.

Original language	English
Pages (from-to)	645-664
Number of pages	20
Journal	RAIRO - Operations Research
Volume	50
Issue number	3
DOIs	https://doi.org/10.1051/ro/2015051
Publication status	Published - Jul 1 2016

Keywords

Absolute weight restriction model
DEA
Group decision making
Linguistic fuzzy number
Supplier selection

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science Applications
Management Science and Operations Research

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10.1051/ro/2015051

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AU - Hosseinzadeh Lotfi, F.

AU - Hosseininia, Sh S.

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A new hybrid decision making system for supplier selection

Abstract

Keywords

ASJC Scopus subject areas

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