Ahmadigorji, M., Amjady, N., & Dehghan, S. (2017). A robust model for multiyear distribution network reinforcement planning based on information-gap decision theory. IEEE Transactions on Power Systems, 33(2), 1339-1351.
Aksoy, A., Küçükoğlu, İ., Ene, S., & Öztürk, N. (2014). Integrated emission and fuel consumption calculation model for green supply chain management. Procedia-Social and Behavioral Sciences, 109, 1106-1109.
Alkawaleet, N., Hsieh, Y. F., & Wang, Y. (2014). Inventory routing problem with CO 2 emissions consideration. In Logistics operations, supply chain management and sustainability (pp. 611-619). Springer, Cham.
Altmann, M., & Bogaschewsky, R. (2014). An environmentally conscious robust closed-loop supply chain design. Journal of Business Economics, 84(5), 613-637.
Ballou, R. H. (2004). Business logistics, supply chain management. Upper Saddle River, NJ: 5. internat. Aufl.
Bektaş, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45(8), 1232-1250.
Cascini, A., Mora, C., Pareschi, A., & Ferrari, E. (2014). Multi-objective Optimisation modelling for green supply chain management. Proceedings of XIX Summer School AIDI “Francesco Turco”, Industrial Mechanical Plants. Senigallia (AN), Italy.
Chen, C. L., & Lee, W. C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6-7), 1131-1144.
Chen, Z. L. (2004). Integrated production and distribution operations. In Handbook of quantitative supply chain analysis (pp. 711-745). Springer, Boston, MA.
Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation. In Das summa summarum des management (pp. 265-275). Gabler.
Dakov, I., & Novkov, S. (2008, May). Sustainable Supply chain management–Scope, activities and interrelations with other concepts. In 5th International Conference on Business and Management (pp. 16-17).
Das, I., & Dennis, J. E. (1998). Normal-boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems. SIAM journal on optimization, 8(3), 631-657.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.
Fahimnia, B., & Jabbarzadeh, A. (2016). Marrying supply chain sustainability and resilience: A match made in heaven. Transportation Research Part E: Logistics and Transportation Review, 91, 306-324.
Fakhrzad, M. B., & Goodarzian, F. (2019). A fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: modifications of imperialist competitive algorithm. RAIRO-Operations Research, 53(3), 963-990.
Fattahi, M., & Govindan, K. (2018). A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study. Transportation Research Part E: Logistics and Transportation Review, 118, 534-567.
Fazli-Khalaf, M., Mirzazadeh, A., & Pishvaee, M. S. (2017). A robust fuzzy stochastic programming model for the design of a reliable green closed-loop supply chain network. Human and ecological risk assessment: an international journal, 23(8), 2119-2149.
Fazli-Khalaf, M., Naderi, B., Mohammadi, M., & Pishvaee, M. S. (2020). Design of a sustainable and reliable hydrogen supply chain network under mixed uncertainties: A case study. International Journal of Hydrogen Energy, 45(59), 34503-34531.
Gaur, J., Amini, M., & Rao, A. K. (2017). Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model. Omega, 66, 212-223.
Ghayebloo, S., Tarokh, M. J., Venkatadri, U., & Diallo, C. (2015). Developing a bi-objective model of the closed-loop supply chain network with green supplier selection and disassembly of products: the impact of parts reliability and product greenness on the recovery network. Journal of Manufacturing Systems, 36, 76-86.
Gong, D. C., Chen, P. S., & Lu, T. Y. (2017). Multi-objective optimization of green supply chain network designs for transportation mode selection. Scientia Iranica, 24(6), 3355-3370.
Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141.
Gulati, R., Puranam, P., & Tushman, M. (2012). Meta‐organization design: Rethinking design in interorganizational and community contexts. Strategic management journal, 33(6), 571-586.
Hamidieh, A., Naderi, B., Mohammadi, M., & Fazli-Khalaf, M. (2017). A robust possibilistic programming model for a responsive closed loop supply chain network design. Cogent Mathematics, 4(1), 1329886.
Hoen, K. M. R., Tan, T., Fransoo, J. C., & Houtum, G. (2010). Effect of carbon emission regulations on transport mode selection in supply chains [Z]. Eindhoven: Eindhoven University of Technology.
Hosseini-Motlagh, S. M., Samani, M. R. G., & Shahbazbegian, V. (2020). Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty. Applied Energy, 280, 115921.
Ismail-Yahaya, A., & Messac, A. (2002). Effective generation of the Pareto frontier using the normal constraint method. In 40th AIAA Aerospace Sciences Meeting & Exhibit (p. 178).
Jabali, O., Van Woensel, T., & De Kok, A. G. (2012). Analysis of travel times and CO2 emissions in time‐dependent vehicle routing. Production and Operations Management, 21(6), 1060-1074.
Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research, 56(17), 5945-5968.
Kabadurmus, O., & Erdogan, M. S. (2020). Sustainable, multimodal and reliable supply chain design. Annals of Operations Research, 292(1), 47-70.
Khalifehzadeh, S., Seifbarghy, M., & Naderi, B. (2015). A four-echelon supply chain network design with shortage: Mathematical modeling and solution methods. Journal of Manufacturing Systems, 35, 164-175.
Kim, J., Xu, M., Kahhat, R., Allenby, B., & Williams, E. (2009). Designing and assessing a sustainable networked delivery (SND) system: Hybrid business-to-consumer book delivery case study. Environmental science & technology, 43(1), 181-187.
Kuo, Y. (2010). Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem. Computers & Industrial Engineering, 59(1), 157-165.
Lakin, N., & Scheubel, V. (2017). Corporate community involvement: The definitive guide to maximizing your business' societal engagement. Routledge.
Li, Q., Loy-Benitez, J., Nam, K., Hwangbo, S., Rashidi, J., & Yoo, C. (2019). Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks. Energy, 178, 277-292.
Li, Y., Liu, B., & Huan, T. C. T. (2019). Renewal or not? Consumer response to a renewed corporate social responsibility strategy: Evidence from the coffee shop industry. Tourism Management, 72, 170-179.
Liu, J., Feng, Y., Zhu, Q., & Sarkis, J. (2018). Green supply chain management and the circular economy: Reviewing theory for advancement of both fields. International Journal of Physical Distribution & Logistics Management.
Lotfi, R., Kheiri, K., Sadeghi, A., & Babaee Tirkolaee, E. (2022). An extended robust mathematical model to project the course of COVID-19 epidemic in Iran. Annals of Operations Research, 1-25.
Lotfi, R., Kargar, B., Gharehbaghi, A., & Weber, G. W. (2021a). Viable medical waste chain network design by considering risk and robustness. Environmental Science and Pollution Research, 1-16.
Lotfi, R., Mardani, N., & Weber, G. W. (b. Robust bi-level programming for renewable energy location. International Journal of Energy Research, 45(5), 7521-7534.
Marchi, B., Zanoni, S., Zavanella, L. E., & Jaber, M. Y. (2019). Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions. International Journal of Production Economics, 211, 145-153.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Max Shen, Z. J. (2007). Integrated supply chain design models: a survey and future research directions. Journal of Industrial & Management Optimization, 3(1), 1.
Messac, A., & Mattson, C. A. (2002). Generating well-distributed sets of Pareto points for engineering design using physical programming. Optimization and Engineering, 3(4), 431-450.
Messac, A., & Mattson, C. A. (2004). Normal constraint method with guarantee of even representation of complete Pareto frontier. AIAA journal, 42(10), 2101-2111.
Messac, A., Ismail-Yahaya, A., & Mattson, C. A. (2003). The normalized normal constraint method for generating the Pareto frontier. Structural and multidisciplinary optimization, 25(2), 86-98.
Mirzapour Al-e-hashem, S. M. J., & Rekik, Y. (2014). Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach. International Journal of Production Economics, 157, 80-88.
Moradi, S., & Sangari, M. S. (2021). A robust optimisation approach for designing a multi-echelon, multi-product, multi-period supply chain network with outsourcing. International Journal of Logistics Systems and Management, 38(4), 488-505.
Mousavi Ahranjani, P., Ghaderi, S. F., Azadeh, A., & Babazadeh, R. (2020). Robust design of a sustainable and resilient bioethanol supply chain under operational and disruption risks. Clean Technologies and Environmental Policy, 22(1), 119-151.
Nosrati, M., & Khamseh, A. (2020). Reliability optimization in a four-echelon green closed-loop supply chain network considering stochastic demand and carbon price. Uncertain Supply Chain Management, 8(3), 457-472.
Nurjanni, K. P., Carvalho, M. S., & Costa, L. (2017). Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model. International Journal of Production Economics, 183, 421-432.
Pan, F., & Nagi, R. (2013). Multi-echelon supply chain network design in agile manufacturing. Omega, 41(6), 969-983.
Pasandideh, S. H. R., Niaki, S. T. A., & Asadi, K. (2015). Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA. Information Sciences, 292, 57-74.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy sets and systems, 206, 1-20.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 14-38.
Pourghader Chobar, A., Adibi, M. A., & Kazemi, A. (2021). A novel multi-objective model for hub location problem considering dynamic demand and environmental issues. Journal of Industrial Engineering and Management Studies, 8(1), 1-31.
Rahmani, D., & Mahoodian, V. (2017). Strategic and operational supply chain network design to reduce carbon emission considering reliability and robustness. Journal of Cleaner Production, 149, 607-620.
Rahmani, S., & Amjady, N. (2018). Improved normalised normal constraint method to solve multi-objective optimal power flow problem. IET generation, transmission & distribution, 12(4), 859-872.
Rezaei Kallaj, M., Abolghasemian, M., Moradi Pirbalouti, S., Sabk Ara, M., & Pourghader Chobar, A. (2021). Vehicle Routing Problem in Relief Supply under a Crisis Condition considering Blood Types. Mathematical Problems in Engineering, 2021.
Rizk, N., Martel, A., & D’Amours, S. (2006). Multi-item dynamic production-distribution planning in process industries with divergent finishing stages. Computers & Operations Research, 33(12), 3600-3623.
Sahraeian, R., Bashiri, M., & Taheri-Moghadam, A. (2013). Capacitated multimodal structure of a green supply chain network considering multiple objectives. International Journal of Engineering Transactions B: Applications, 9(26).
Snyder, L. V., & Daskin, M. S. (2005). Reliability models for facility location: the expected failure cost case. Transportation Science, 39(3), 400-416.
Sundarakani, B., De Souza, R., Goh, M., Wagner, S. M., & Manikandan, S. (2010). Modeling carbon footprints across the supply chain. International Journal of Production Economics, 128(1), 43-50.
Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (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.
Tao, J., Shao, L., Guan, Z., Ho, W., & Talluri, S. (2020). Incorporating risk aversion and fairness considerations into procurement and distribution decisions in a supply chain. International Journal of Production Research, 58(7), 1950-1967.
Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
Tsao, Y. C., Thanh, V. V., Lu, J. C., & Yu, V. (2018). Designing sustainable supply chain networks under uncertain environments: Fuzzy multi-objective programming. Journal of Cleaner Production, 174, 1550-1565.
Wang, B., Zhang, H., Yuan, M., Guo, Z., & Liang, Y. (2020). Sustainable refined products supply chain: a reliability assessment for demand‐side management in primary distribution processes. Energy Science & Engineering, 8(4), 1029-1049.
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision support systems, 51(2), 262-269.
Yousefi-Babadi, A., Tavakkoli-Moghaddam, R., Bozorgi-Amiri, A., & Seifi, S. (2017). Designing a reliable multi-objective queuing model of a petrochemical supply chain network under uncertainty: a case study. Computers & Chemical Engineering, 100, 177-197.
Zahiri, B., Zhuang, J., & Mohammadi, M. (2017). Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, 103, 109-142.
Zhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Mohammadi, M. (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E: Logistics and Transportation Review, 89, 182-214.