- Chopra, S., & Meindl, P., (2019). “Supply chain management and operation”. XI Pearson (Vol. XI). https://books.google.com/books/about/Supply_Chain_Management.html?id=g2WvvAEACAAJ
- Alkaraan, F., Elmarzouky, M., Lopes de Sousa Jabbour, A. B., Chiappetta Jabbour, C. J., & Gulko, N., (2025). “Maximising sustainable performance: Integrating servitisation innovation into green sustainable supply chain management under the influence of governance and Industry 4.0”. Journal of business research, 186. https://doi.org/10.1016/j.jbusres.2024.115029
- Barbosa-Póvoa, A. P., da Silva, C., & Carvalho, A., (2018). “Opportunities and challenges in sustainable supply chain: An operations research perspective”. European journal of operational research, 268(2): 399–431. https://doi.org/10.1016/j.ejor.2017.10.036
- Robertson, M., (2022). “The History of Transportation”. Leland-West Insurance. https://www.lelandwest.com/planes-trains-automobiles-the-history-of-transportation.cfm
- Hu, H., Li, J., & Li, X., (2018). “A credibilistic goal programming model for inventory routing problem with hazardous materials”. Soft computing, 22(17): 5803–5816. https://doi.org/10.1007/s00500-017-2663-y
- Alinaghian, M., & Zamani, M., (2019). “A bi-objective fleet size and mix green inventory routing problem, model and solution method”. Soft computing, 23(4): 1375–1391. https://doi.org/10.1007/s00500-017-2866-2
- Timajchi, A., Mirzapour Al-e-Hashem, S. M. J., & Rekik, Y., (2019). “Inventory routing problem for hazardous and deteriorating items in the presence of accident risk with transshipment option”. International journal of production economics, 209: 302–315. https://doi.org/10.1016/j.ijpe.2018.01.018
- Sun, Y., Li, X., Liang, X., & Zhang, C., (2019). “A bi-objective fuzzy credibilistic chance-constrained programming approach for the hazardous materials road-rail multimodal routing problem under uncertainty and sustainability”. Sustainability (switzerland), 11(9). https://doi.org/10.3390/su11092577
- Violi, A., Laganá, D., & Paradiso, R., (2020). “The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain”. Soft computing, 24(18): 13725–13740. https://doi.org/10.1007/s00500-019-04497-z
- Hu, H., Li, J., Li, X., & Shang, C., (2020). “Modeling and Solving a Multi-Period Inventory Fulfilling and Routing Problem for Hazardous Materials”. Journal of systems science and complexity, 33(3): 760–782. https://doi.org/10.1007/s11424-019-8176-2
- Tavana, M., Tohidi, H., Alimohammadi, M., & Lesansalmasi, R., (2021). “A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty”. Environmental science and pollution research, 28(36): 50636–50648. https://doi.org/10.1007/s11356-021-13815-8
- Rahbari, M., Arshadi Khamseh, A., Sadati-Keneti, Y., & Jafari, M. J., (2022). “A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization”. Environment, development and sustainability, 24(2): 2804–2840. https://doi.org/10.1007/s10668-021-01555-1
- Fattahi, P., & Tanhatalab, M., (2022). “Stochastic inventory-routing problem with lateral transshipment for perishable product”. Journal of modelling in management, 17(2): 539–568. https://doi.org/10.1108/jm2-09-2019-0230
- Foroozesh, N., Karimi, B., & Mousavi, S. M., (2022). “Green-resilient supply chain network design for perishable products considering route risk and horizontal collaboration under robust interval-valued type-2 fuzzy uncertainty: A case study in food industry”. Journal of environmental management, https://doi.org/10.1016/j.jenvman.2022.114470
- Sadati-Keneti, Y., Sebt, M. V., Tavakkoli-Moghaddam, R., Rahbari, M., & Jafari, M. J., (2023). “Risk assessment in the supply chain of hazardous materials with carbon cap and trade mechanism: multi-objective red deer algorithm”. Annals of operations research. https://doi.org/10.1007/s10479-023-05531-y
- Pasandideh, S. H. R., Rahbari, M., & Sadati-Keneti, Y., (2023). “A Lagrangian relaxation algorithm and hybrid genetic algorithm-black widow optimization for perishable products supply chain with sustainable development goals consideration”. Annals of operations research. https://doi.org/10.1007/s10479-023-05532-x
- Pérez-Lechuga, G., Martínez-Sánchez, J. F., Venegas-Martínez, F., & Madrid-Fernández, K. N., (2024). “A Routing Model for the Distribution of Perishable Food in a Green Cold Chain”. Mathematics, 12(2). https://doi.org/10.3390/math12020332
- Delshad, M. M., Chobar, A. P., Ghasemi, P., & Jafari, D., (2024). “Efficient Humanitarian Logistics: Multi-Commodity Location– Inventory Model Incorporating Demand Probability and Consumption Coefficients”. Logistics, 8(1). https://doi.org/10.3390/logistics8010009
- Abbasi, S., Ardeshir Nasabi, M., Vlachos, I., Eshghi, F., Hazrati, M., & Piryaei, S., (2024). “Designing a Sustainable Nonlinear Model Considering a Piecewise Function for Solving the Risk of Hazardous Material Routing-Locating Problem”. Sustainability (switzerland), 16(10). https://doi.org/10.3390/su16104112
- Alves da Silva Mundim, A., Oliveira dos Santos, M., & Morabito, R., (2024). “Sustainable solutions analysis of a bi-objective green inventory routing problem with heterogeneous fleet and different types of fuels”. RAIRO - operations research. https://doi.org/10.1051/ro/2024162
- نخعی نژاد، مهدی، محزون، محمد و سالکی، میلاد، (1403). «ارائه مدل زنجیره‌تأمین سبز با درنظر گرفتن هزینه انتشار کربن دربخش‌های حمل‌ونقل و نگهداری در وسایل نقلیه ناهمگن». نشریه پژوهشهای مهندسی صنایع در سیستم‌های تولید، (۲۴)۱۲، 77-91. https://doi.org/ 10.22084/ier.2024.29726.2179
- دارستانی، حسین، جوادی، بابک، موسی‌زاده، محمد و ابدالی، محمدرضا، (1403). «طراحی مدل دوهدفه شبکه زنجیره‌تأمین گوشت با درنظر گرفتن قابلیت ارتجاعی تحت شرایط عدم‌قطعیت». نشریه پژوهشهای مهندسی صنایع در سیستم‌های تولید، (۲۴)۱۲، 147-165. ۱۴۷-۱۶۵. https://doi.org/ 10.22084/ier.2024.29296.2166
- Floudas, C. A., (1995). “Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications”. Oxford University Press. https://academic.oup.com/book/407
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