How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach

Mohammad Izadikhah; Reza Farzipoor Saen; Kourosh Ahmadi

doi:10.1016/j.trd.2016.11.030

How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach

Mohammad Izadikhah, Reza Farzipoor Saen^*, Kourosh Ahmadi

^*Corresponding author for this work

Operations Management & Business Statistics

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

40 Citations (Scopus)

Abstract

In this paper, we reformulate conventional data envelopment analysis (DEA) models and propose a novel method for evaluating sustainability of suppliers in the presence of interval volume discount offers, fuzzy data, and ordinal data. To this end, we convert all data into interval data. To convert fuzzy data into interval data, we use nearest weighted interval approximation by applying weighting function and we convert each ordinal data into interval one. Then, using enhanced Russell model, interval efficiencies are obtained. After that, using preference degree approach, we rank suppliers. Finally, a case study is presented to illustrate our proposed approach.

Original language	English
Pages (from-to)	102-121
Number of pages	20
Journal	Transportation Research Part D: Transport and Environment
Volume	51
DOIs	https://doi.org/10.1016/j.trd.2016.11.030
Publication status	Published - Mar 1 2017

Keywords

Data envelopment analysis (DEA)
Fuzzy data
Interval data
Nearest weighted interval approximation
Ordinal data
Sustainable supply chain management
Volume discount

ASJC Scopus subject areas

Civil and Structural Engineering
Transportation
General Environmental Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.trd.2016.11.030

Cite this

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title = "How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach",

abstract = "In this paper, we reformulate conventional data envelopment analysis (DEA) models and propose a novel method for evaluating sustainability of suppliers in the presence of interval volume discount offers, fuzzy data, and ordinal data. To this end, we convert all data into interval data. To convert fuzzy data into interval data, we use nearest weighted interval approximation by applying weighting function and we convert each ordinal data into interval one. Then, using enhanced Russell model, interval efficiencies are obtained. After that, using preference degree approach, we rank suppliers. Finally, a case study is presented to illustrate our proposed approach.",

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AU - Izadikhah, Mohammad

AU - Farzipoor Saen, Reza

AU - Ahmadi, Kourosh

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N2 - In this paper, we reformulate conventional data envelopment analysis (DEA) models and propose a novel method for evaluating sustainability of suppliers in the presence of interval volume discount offers, fuzzy data, and ordinal data. To this end, we convert all data into interval data. To convert fuzzy data into interval data, we use nearest weighted interval approximation by applying weighting function and we convert each ordinal data into interval one. Then, using enhanced Russell model, interval efficiencies are obtained. After that, using preference degree approach, we rank suppliers. Finally, a case study is presented to illustrate our proposed approach.

AB - In this paper, we reformulate conventional data envelopment analysis (DEA) models and propose a novel method for evaluating sustainability of suppliers in the presence of interval volume discount offers, fuzzy data, and ordinal data. To this end, we convert all data into interval data. To convert fuzzy data into interval data, we use nearest weighted interval approximation by applying weighting function and we convert each ordinal data into interval one. Then, using enhanced Russell model, interval efficiencies are obtained. After that, using preference degree approach, we rank suppliers. Finally, a case study is presented to illustrate our proposed approach.

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KW - Fuzzy data

KW - Interval data

KW - Nearest weighted interval approximation

KW - Ordinal data

KW - Sustainable supply chain management

KW - Volume discount

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ER -

How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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