۹- مراجع
[1] علی‌محمدی، م.، 1398، بهینه‌سازی مساله چندهدفه در شبکه زنجیره تأمین دو سطحی با در نظر گرفتن کالای معیوب (مطالعه موردی شرکت صنایع فولاد کرمان)، چهارمین کنفرانس ملی در مدیریت، حسابداری و اقتصاد با تاکید بر بازاریابی منطقه‌ای و جهانی، تهران،https://civilica.com/doc/915366
[2] Ahmadi, A., Mousazadeh, M., Torabi, S. A., & Pishvaee, M. S. (2018). Or applications in pharmaceutical supply chain management. In Operations research applications in health care management (pp. 461-491). Springer.
[3] Gholipour, S., Ashoftehfard, A., & Mina, H. (2020). Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach. International Journal of Logistics Systems and Management, 35(4), 436-452.
[4] Marandi, F., & Fatemi Ghomi, S. M. T. (2019). Integrated multi-factory production and distribution scheduling applying vehicle routing approach. International Journal of Production Research, 57(3), 722-748.
[5] رجبی پورمیبدی، ع.، مفتح‌زاده، ا.، کیانی، م.، و زمزم، ف. 1400. طراحی الگوی عوامل مؤثر بر استقرار مدیریت زنجیره تأمین سبز بر اساس رویکرد فراترکیب و تحلیل و توسعه گزینه‌های استراتژیک (سودا). مدیریت بهره‌وری (فراسوی مدیریت), 15(1 (پیاپی 56)), 265-293.
https://www.sid.ir/fa/journal/ViewPaper.aspx?id=569072
[6] Mousavi, M., Jamali, G., Ghorbanpour, A. (2021). A Green-resilient Supply Chain Network Optimization Model in Cement Industries. Industrial Management Journal, 13(2), 222-245. doi: 10.22059/imj.2021.323226.1007844
[7] Samuel, C. N., Venkatadri, U., Diallo, C., & Khatab, A. (2020). Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations. Journal of Cleaner Production, 247, 119086.
[8] Peng, H., Shen, N., Liao, H., Xue, H., & Wang, Q. (2020). Uncertainty factors, methods, and solutions of closed-loop supply chain—A review for current situation and future prospects. Journal of Cleaner Production, 254, 120032.
[9] Carbonara, N., & Pellegrino, R. (2017). How do supply chain risk management flexibility-driven strategies perform in mitigating supply disruption risks?. International Journal of Integrated Supply Management, 11(4), 354-379.
[10] Beier, J. (2017). Manufacturing Systems and Variable Renewable Electricity Supply. In Simulation Approach Towards Energy Flexible Manufacturing Systems (pp. 11-49). Springer, Cham.
[11] غلامیان، ن.، مهدوی، ا.، توکلی مقدم، ر.، و مهدوی امیری، ن.،1396،برنامه‌ریزی تولید ادغامی چندهدفه زنجیره تأمین سبز تحت عدم قطعیت تقاضا از طریق بهینه سازی فازی،کنفرانس بین‌المللی زنجیره تأمین سبز، لاهیجان،
https://civilica.com/doc/637285
[12] Zhao, G., Liu, S., & Lopez, C. (2017, September). A literature review on risk sources and resilience factors in agri-food supply chains. In Working Conference on Virtual Enterprises (pp. 739-752). Springer, Cham.
[13] Christopher, M., Harrison, A., & Hoek, R. V. (2016). Creating the agile supply chain: issues and challenges. Developments in logistics and supply chain management, 61-68.
[14] Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega, 66, 344-357.
[15] شفیعی، م.، رضایی، ذ.، ابراهیمی، ع.، 1388، "مدیریت راهبردی زنجیره تأمین"، تهران، انتشارات ترمه.
[16] Hofmann, E., & Kotzab, H. (2010). A supply chain‐oriented approach of working capital management. Journal of business Logistics, 31(2), 305-330.
[17] Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J. M., & Van Wassenhove, L. N. (2001). The impact of product recovery on logistics network design. Production and operations management, 10(2), 156-173.
[18] Lee, D. H., & Dong, M. (2008). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E: Logistics and Transportation Review, 44(3), 455-474.
[19] Salema, M. I. G., Barbosa-Povoa, A. P., & Novais, A. Q. (2006). An integrated model for the design and planning of supply chains with product return. In Computer Aided Chemical Engineering (Vol. 21, pp. 2129-2134). Elsevier.
[20] Salema, M. I. G., Barbosa-Póvoa, A. P., Novaisc, A. Q., & Luiziod, M. (2007). Design of recovery supply chains: a Portuguese recovery network for WEEE.
[21] Lu, Z., & Bostel, N. (2007). A facility location model for logistics systems including reverse flows: The case of remanufacturing activities. Computers & operations research, 34(2), 299-323.
[22] Listeş, O. (2007). A generic stochastic model for supply-and-return network design. Computers & Operations Research, 34(2), 417-442.
[23] Ko, H. J., & Evans, G. W. (2007). A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Computers & Operations Research, 34(2), 346-366.
[24] Min, H. (2015). Genetic algorithm for supply chain modelling: basic concepts and applications. International Journal of Services and Operations Management, 22(2), 143-164.
[25] Lee, D., Dong,M. (2008). A heuristic approach to logistics network design for end-of-lease computer products recovery. Transportation Research Part E, 44, 455-474.
[26] Pishvaee, M. S., & Khalaf, M. F. (2016). Novel robust fuzzy mathematical programming methods. Applied Mathematical Modelling, 40(1), 407-418.
[27] El-Sayed, M., Afia, N., & El-Kharbotly, A. (2010). A stochastic model for forward–reverse logistics network design under risk. Computers & Industrial Engineering, 58(3), 423-431.
[28] Galbraith, J. K. (2010). 7 Uncertainty and the modern corporation. The Economics of John Kenneth Galbraith: Introduction, Persuasion, and Rehabilitation, 174.
[29] Hu, Q., Zhang, L., Chen, D., Pedrycz, W., & Yu, D. (2010). Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications. International Journal of Approximate Reasoning, 51(4), 453-471.
[30] Alfonso-Lizarazo, E. H., Montoya-Torres, J. R., & Gutiérrez-Franco, E. (2013). Modeling reverse logistics process in the agro-industrial sector: The case of the palm oil supply chain. Applied Mathematical Modelling, 37(23), 9652-9664.
[31] Amin, S. H., & Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176.
[32] Talaei, M., Moghaddam, B. F., Pishvaee, M. S., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662-673.
[33] Badri, H., Ghomi, S. F., & Hejazi, T. H. (2017). A two-stage stochastic programming approach for value-based closed-loop supply chain network design. Transportation Research Part E: Logistics and Transportation Review, 105, 1-17.
[34] Linfati, R., Gatica, G., & Escobar, J. W. (2021). A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes. Applied Sciences, 11(22), 10557.
[35] Belgin, O., Karaoglan, I., & Altiparmak, F. (2018). Two-echelon vehicle routing problem with simultaneous pickup and delivery: Mathematical model and heuristic approach. Computers & Industrial Engineering, 115, 1-16.
[36] Edalatpour, M. A., & Mirzapour Al-e-Hashem, S. M. J. (2019). Simultaneous pricing and inventory decisions for substitute and
complementary items with nonlinear holding cost. Production Engineering, 13(3), 305-315.
[37] 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.
[38] Asim, Z., Jalil, S. A., & Javaid, S. (2019). An uncertain model for integrated production-transportation closed-loop supply chain network with cost reliability. Sustainable Production and Consumption, 17, 298-310.
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