The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A novel network data envelopment analysis model for evaluating green supply chain management
Open accessAbstract
Green supply chain management (GSCM) has become a method to improve environmental performance. Under stakeholder pressures, forces and regulations, companies need to improve the GSCM practice, which are effected by practices such as green purchasing, green design, product recovery, and collaboration with patrons and suppliers. As companies promote the GSCM, their economic performance and environmental performance will be enhanced. Hence, GSCM evaluation is very important for any company. One of the techniques that can be used for evaluating GSCM is data envelopment analysis (DEA). Traditional models of data envelopment analysis (DEA) are based upon thinking about production as a “black box”. One of the drawbacks of these models is to omit linking activities. The objective of this paper is to propose a novel network DEA model for evaluating the GSCM in the presence of dual-role factors, undesirable outputs, and fuzzy data. A case study demonstrates the application of the proposed model. A case study demonstrates the applicability of the proposed model.
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de Jesus, A., & Mendonça, S. (2018) · Ecological Economics · doi:10.1016/j.ecolecon.2017.08.001 · Cited by 1,167
Zimmer, K., Fröhling, M., & Schultmann, F. (2016) · International Journal of Production Research · doi:10.1080/00207543.2015.1079340 · Cited by 445
Zhou, H., Yang, Y., Chen, Y., & Zhu, J. (2018) · European Journal of Operational Research · doi:10.1016/j.ejor.2017.06.023 · Cited by 359
de Oliveira, U. R., Espindola, L. S., da Silva, I. R., da Silva, I. N., & Rocha, H. M. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.03.083 · Cited by 341
Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-9880-x · Cited by 312
Metadata
- Authors
- Mirhedayatian, S. M., Azadi, M., & Farzipoor Saen, R.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 147
- Pages
- 544-554
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2028035046
- Cited by
- 278
- References
- 30
- FWCI
- 31.28
- Type
- journal article
- Language
- en
- Open access
- green
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