Dual-objective optimization of a green closed-loop supply chain in steel industry considering quantity discount
Author:
Funder
National Social Science Foundation Project
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05755-y.pdf
Reference41 articles.
1. Abdallah, T., Farhat, A., Diabat, A., & Kennedy, S. (2012). Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment. Applied Mathematical Modelling, 36(9), 4271–4285.
2. Ali, H., & Zhang, J. W. (2023). A fuzzy multi-objective decision-making model for global green supplier selection and order allocation under quantity discounts. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2023.120119
3. Antucheviciene, J., Jafarnejad, A., Mandiraji, H. A., Hajiagha, S. H. R., & Kargar, A. (2020). Robust multi-objective sustainable reverse supply chain planning: An application in the steel industry. Symmetry-Basel. https://doi.org/10.3390/sym12040594
4. Ayvaz, B., Bolat, B., & Aydin, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources Conservation and Recycling, 104(7), 391–404.
5. Chaabane, A., Ramudhin, A., & Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme. International Journal of Production Economics, 135(1), 37–49.
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