Artikel
Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data
Nowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpful for the evaluation and selection of the sustainable supplier and has the ability to use a variety of data types is data envelopment analysis (DEA). In the present article, first, the supplier efficiency is measured with respect to all economic, social and environmental dimensions using DEA and applying imprecise data. Then, to have a general evaluation of the suppliers, the DEA model is developed using imprecise data based on goal programming (GP). Integrating the set of criteria changes the new model into a coherent framework for sustainable supplier selection. Moreover, employing this model in a multilateral sustainable supplier selection can be an incentive for the suppliers to move towards environmental, social and economic activities. Improving environmental, economic and social performance will mean improving the supply chain performance. Finally, the application of the proposed approach is presented with a real dataset.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 14 ; Year: 2018 ; Issue: 3 ; Pages: 613-625 ; Heidelberg: Springer
- Classification
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Management
- Subject
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Sustainable supplier selection
Environmental
Economic and social performance
Imprecise data envelopment analysis
Goal programming
- Event
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Geistige Schöpfung
- (who)
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Ghoushchi, Saeid Jafarzadeh
Milan, Mehran Dodkanloi
Rezaee, Mustafa Jahangoshai
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2018
- DOI
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doi:10.1007/s40092-017-0246-2
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Ghoushchi, Saeid Jafarzadeh
- Milan, Mehran Dodkanloi
- Rezaee, Mustafa Jahangoshai
- Springer
Time of origin
- 2018
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