A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing
A. Hatami-Marbini, P.J. Agrell, M. Tavana, P. Khoshnevis, Journal of Cleaner Production 142 (2017) 2761–2779.
Download
No fulltext has been uploaded.
Journal Article
| Published
| English
Author
Hatami-Marbini, Adel;
Agrell, Per J.;
Tavana, MadjidLibreCat;
Khoshnevis, Pegah
Publishing Year
Journal Title
Journal of Cleaner Production
Volume
142
Page
2761-2779
ISSN
LibreCat-ID
Cite this
Hatami-Marbini A, Agrell PJ, Tavana M, Khoshnevis P. A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing. Journal of Cleaner Production. 2017;142:2761-2779. doi:10.1016/j.jclepro.2016.10.192
Hatami-Marbini, A., Agrell, P. J., Tavana, M., & Khoshnevis, P. (2017). A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing. Journal of Cleaner Production, 142, 2761–2779. https://doi.org/10.1016/j.jclepro.2016.10.192
@article{Hatami-Marbini_Agrell_Tavana_Khoshnevis_2017, title={A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing}, volume={142}, DOI={10.1016/j.jclepro.2016.10.192}, journal={Journal of Cleaner Production}, publisher={Elsevier BV}, author={Hatami-Marbini, Adel and Agrell, Per J. and Tavana, Madjid and Khoshnevis, Pegah}, year={2017}, pages={2761–2779} }
Hatami-Marbini, Adel, Per J. Agrell, Madjid Tavana, and Pegah Khoshnevis. “A Flexible Cross-Efficiency Fuzzy Data Envelopment Analysis Model for Sustainable Sourcing.” Journal of Cleaner Production 142 (2017): 2761–79. https://doi.org/10.1016/j.jclepro.2016.10.192.
A. Hatami-Marbini, P. J. Agrell, M. Tavana, and P. Khoshnevis, “A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing,” Journal of Cleaner Production, vol. 142, pp. 2761–2779, 2017, doi: 10.1016/j.jclepro.2016.10.192.
Hatami-Marbini, Adel, et al. “A Flexible Cross-Efficiency Fuzzy Data Envelopment Analysis Model for Sustainable Sourcing.” Journal of Cleaner Production, vol. 142, Elsevier BV, 2017, pp. 2761–79, doi:10.1016/j.jclepro.2016.10.192.
Google Scholar