- Abualigah, L., Hanandeh, E. S., Zitar, R. A., Thanh, C. Le, Khatir, S., & Gandomi, A. H. (2023). Revolutionizing sustainable supply chain management: A review of metaheuristics. Engineering Applications of Artificial Intelligence, 126. https://doi.org/10.1016/j.engappai.2023.106839.
- Alfina, K. N., & Ratnayake, R. M. C. (2019). Supply Chain Optimization in the Tire Industry: State-of-the-Art. IFIP Advances in Information and Communication Technology, 567. https://doi.org/10.1007/978-3-030-29996-5_7.
- Amin, S. H., & Baki, F. (2017). A facility location model for global closed-loop supply chain network design. Applied Mathematical Modelling, 41. https://doi.org/10.1016/j.apm.2016.08.030.
- Amirian, S., Amiri, M., & Taghavifard, M. T. (2023). Designing a closed loop supply chain network with a sustainability and reliability approach. Green Development Management Studies, 2(1), 77-100. doi: 10.22077/jgmd.2023.6340.1030.
- Bansal, P., & DesJardine, M. (2014). Business sustainability: It is about time. Strategic Organization, 12(1). https://doi.org/10.1177/1476127013520265
- Bartolozzi, I., Mavridou, S., Rizzi, F., & Frey, M. (2015). Life cycle thinking in sustainable supply chains: The case of rubberized asphalt pavement. Environmental Engineering and Management Journal, 14(5). https://doi.org/10.30638/eemj.2015.131.
- Bayanati, M., Peivandizadeh, A., Heidari, M. R., Foroutan Mofrad, S., Sasouli, M. R., & Pourghader Chobar, A. (2022). Prioritize Strategies to Address the Sustainable Supply Chain Innovation Using Multicriteria Decision-Making Methods. Complexity, 2022. https://doi.org/10.1155/2022/1501470.
- Bhattacharya, S., & Kalakbandi, V. K. (2023). Barriers to circular supply chain: the case of unorganized tire retreading in India. International Journal of Logistics Management, 34(3). https://doi.org/10.1108/IJLM-04-2022-0162.
- Biuki, M., Kazemi, A., & Alinezhad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260. https://doi.org/10.1016/j.jclepro.2020.120842.
- Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2). https://doi.org/10.1016/j.ejor.2013.09.032.
- Burgess, K., Singh, P. J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International Journal of Operations & Production Management, 26(7), 703–729. https://doi.org/10.1108/01443570610672202
- Castañeda Rodríguez, I., & Espinoza Pérez, A. T. (2023). Towards the Development of Sustainable Supply Chains for the End-of-Life Tires Management: Insights from a Literature Approach. In Lecture Notes in Logistics: Vol. Part F268. https://doi.org/10.1007/978-3-031-32032-3_15.
- Chaabane, A., Ramudhin, A., & Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme. International Journal of Production Economics, 135(1). https://doi.org/10.1016/j.ijpe.2010.10.025.
- Chopra, S., Meindl, P., & Kalra, D. V. (2007). Supply Chain Management by Pearson. Pearson Education India. https://books.google.com/books/about/Supply_Chain_Management_by_Pearson.html?id=_CO-DwAAQBAJ.
- Coello, C.A., Lamont, G.B., Van Veldhuizen, D.A. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems, Springer, 2nd Ed., New York, USA, 12 (4), 372–385. https://link.springer.com/book/10.1007/978-0-387-36797-2
- Ebrahimi, S. B. (2018). A stochastic multi-objective location-allocation-routing problem for tire supply chain considering sustainability aspects and quantity discounts. Journal of Cleaner Production, 198. https://doi.org/10.1016/j.jclepro.2018.07.059.
- Fathi, M. R., Nasrollahi, M., & Zamanian, A. (2020). Mathematical Modeling of Sustainable Supply Chain Networks under Uncertainty and Solving It Using Metaheuristic Algorithms. Industrial Management Journal, 11(4), 621-652. doi: 10.22059/imj.2019.280393.1007588.
- Ganji, E. N., Shah, S., & Coutroubis, A. (2017). Sustainable supply and demand chain integration within global manufacturing industries. IEEE International Conference on Industrial Engineering and Engineering Management, 2017-December. https://doi.org/10.1109/IEEM.2017.8290203.
- Goyal, P., Rahman, Z., & Kazmi, A. A. (2013). Corporate sustainability performance and firm performance research: Literature review and future research agenda. In Management Decision (Vol. 51, Issue 2). https://doi.org/10.1108/00251741311301867
- Jabbarzadeh, A., Haughton, M., & Khosrojerdi, A. (2018). Closed-loop supply chain network design under disruption risks: A robust approach with real world application. Computers and Industrial Engineering, 116. https://doi.org/10.1016/j.cie.2017.12.025.
- Jandaghi, G. R., Fathi, M. R., Madadi, E., & Razi moheb seraj, S. (2022). Mathematical Modeling of Tire’s Multi-Objective Supply Chain Network at Uncertainty circumstances and solving it using Meta-Heuristic algorithms. Logistics Thought, 21(82), 157-184. doi: 10.22034/lot.2022.1266640.1173.
- Kara, S. S., & Onut, S. (2010). A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling. Expert Systems with Applications, 37(9). https://doi.org/10.1016/j.eswa.2010.02.116
- Kheybari, S., Davoodi Monfared, M., Salamirad, A., & Rezaei, J. (2023). Bioethanol sustainable supply chain design: A multi-attribute bi-objective structure. Computers and Industrial Engineering, 180. https://doi.org/10.1016/j.cie.2023.109258.
- Kiani Mavi, R., Hosseini Shekarabi, S. A., Kiani Mavi, N., Arisian, S., & Moghdani, R. (2023). Multi-objective optimisation of sustainable closed-loop supply chain networks in the tire industry. Engineering Applications of Artificial Intelligence, 126. https://doi.org/10.1016/j.engappai.2023.107116.
- Motevalli-Taher, F., Paydar, M. M., & Emami, S. (2020). Wheat sustainable supply chain network design with forecasted demand by simulation. Computers and Electronics in Agriculture, 178. https://doi.org/10.1016/j.compag.2020.105763.
- Pishvaee, M.S., Kianfar, K., Karimi, B. (2010). Reverse logistics network design using simulated annealing, international journal of Advanced Manufacturing Technology, 47, 269-281. https://link.springer.com/article/10.1007/s00170-009-2194-5.
- Sahebjamnia, N., Fathollahi-Fard, A. M., & Hajiaghaei-Keshteli, M. (2018). Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks. Journal of Cleaner Production, 196. https://doi.org/10.1016/j.jclepro.2018.05.245.
- Seydanlou, P., Sheikhalishahi, M., Tavakkoli-Moghaddam, R., & Fathollahi-Fard, A. M. (2023). A customized multi-neighborhood search algorithm using the tabu list for a sustainable closed-loop supply chain network under uncertainty. Applied Soft Computing, 144. https://doi.org/10.1016/j.asoc.2023.110495.
- Soleimani, H., Govindan, K., Saghafi, H., & Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers and Industrial Engineering, 109. https://doi.org/10.1016/j.cie.2017.04.038
- Taleizadeh, A.A., Haghighi, F., Niaki, S.T., (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products, Journal of cleaner production. 207, 163-181. https://doi.org/10.1016/j.jclepro.2018.09.198.
- Tiwari, A., Chang, P. C., Tiwari, M. K., & Kandhway, R. (2016). A Hybrid Territory Defined evolutionary algorithm approach for closed loop green supply chain network design. Computers and Industrial Engineering, 99. https://doi.org/10.1016/j.cie.2016.05.018
- Zarei-Kordshouli, F., Paydar, M. M., & Nayeri, S. (2023). Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework. Clean Technologies and Environmental Policy, 25(9). https://doi.org/10.1007/s10098-023-02538-8.
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