How to cite this paper
Jifroudi, S., Teimoury, E & Barzinpour, F. (2020). Designing and planning a rice supply chain: a case study for Iran farmlands.Decision Science Letters , 9(2), 163-180.
Refrences
Ahmadi, T., Mahootchi, M., & Ponnambalam, K. (2018). Optimal randomized ordering policies for a capacitated two-echelon distribution inventory system. Computers & Industrial Engineering, 124, 88-99.
Ali, O., Verlinden, B., & Van Oudheusden, D. (2009). Infield logistics planning for crop-harvesting operations. Engineering Optimization, 41(2), 183-197.
Annetts, J. E., & Audsley, E. (2002). Multiple objective linear programming for environmental farm planning. Journal of the Operational Research Society, 53(9), 933-943.
Aryanezhad, M. B., & Jabbarzadeh, A. (2009, July). An integrated model for location-inventory problem with random disruptions. In 2009 International Conference on Computers & Industrial Engineering (pp. 791-796). IEEE.
Blanco, V., Carpente, L., Hinojosa, Y., & Puerto, J. (2010). Planning for agricultural forage harvesters and trucks: model, heuristics, and case study. Networks and Spatial Economics, 10(3), 321-343.
Bohle, C., Maturana, S., & Vera, J. (2010). A robust optimization approach to wine grape harvesting scheduling. European Journal of Operational Research, 200(1), 245-252.
Cai, X., Chen, J., Xiao, Y., & Xu, X. (2010). Optimization and coordination of fresh product supply chains with freshness‐keeping effort. Production and Operations Management, 19(3), 261-278.
Cheraghalipour, A., Paydar, M. M., & Hajiaghaei-Keshteli, M. (2019). Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms. Computers and Electronics in Agriculture, 162, 651-668.
Clarke, H. R. (1989). Combinatorial aspects of cropping pattern selection in agriculture. European Journal of Operational Research, 40(1), 70-77.
Country Programming Framework (CPF) 2012-2016 for Iran’s Agriculture Sector. Available at: http://www.fao.org/3/a-bp603e.pdf [Accessed: 16 October 2019a]
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., & Mo, J. (2016). A tactical supply chain planning model with multiple flexibility options: an empirical evaluation. Annals of Operations Research, 244(2), 429-454.
Ferrer, J. C., Mac Cawley, A., Maturana, S., Toloza, S., & Vera, J. (2008). An optimization approach for scheduling wine grape harvest operations. International Journal of Production Economics, 112(2), 985-999.
Financial tribune. (2015). Iran Top Consumer of Rice, Wheat.[Online] Available at: https://financialtribune.com/articles/people/16952/iran-top-consumer-of-rice-wheat [Accessed: 16 October 2019b]
Higgins, A. J., & Laredo, L. A. (2006). Improving harvesting and transport planning within a sugar value chain. Journal of the Operational Research Society, 57(4), 367-376.
Hossain, M., & Jahan, R. (2018). Supply chain improvement and product diversification through integrated zoning of Bangladesh rice milling industry. International Journal of Value Chain Management, 9(2), 187-207.
Madadi, A., Kurz, M. E., Mason, S. J., & Taaffe, K. M. (2014). Supply chain design under quality disruptions and tainted materials delivery. Transportation Research Part E: Logistics and Transportation Review, 67, 105-123.
Mangan, J., & Christopher, M. (2005). Management development and the supply chain manager of the future. The International Journal of Logistics Management, 16(2), 178-191.
Márquez, A. L., Baños, R., Gil, C., Montoya, M. G., Manzano‐Agugliaro, F., & Montoya, F. G. (2011). Multi‐objective crop planning using pareto‐based evolutionary algorithms. Agricultural Economics, 42(6), 649-656.
Piewthongngam, K., Pathumnakul, S., & Setthanan, K. (2009). Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry. Agricultural Systems, 102(1-3), 58-66.
Tan, B., & Çömden, N. (2012). Agricultural planning of annual plants under demand, maturation, harvest, and yield risk. European Journal of Operational Research, 220(2), 539-549.
Thoucharee, S., Pitakaso, R., & Phannikul, T. (2017). Application of Modified Differential Evolution for the supply chain management of rice in the lower North-Eastern Region of Thailand. Songklanakarin Journal of Science & Technology, 39(5).
Van Wart, J., Kersebaum, K. C., Peng, S., Milner, M., & Cassman, K. G. (2013). Estimating crop yield potential at regional to national scales. Field Crops Research, 143, 34-43.
Zhang, M., & Li, P. (2012). RFID application strategy in agri-food supply chain based on safety and benefit analysis. Physics Procedia, 25, 636-642.
Ali, O., Verlinden, B., & Van Oudheusden, D. (2009). Infield logistics planning for crop-harvesting operations. Engineering Optimization, 41(2), 183-197.
Annetts, J. E., & Audsley, E. (2002). Multiple objective linear programming for environmental farm planning. Journal of the Operational Research Society, 53(9), 933-943.
Aryanezhad, M. B., & Jabbarzadeh, A. (2009, July). An integrated model for location-inventory problem with random disruptions. In 2009 International Conference on Computers & Industrial Engineering (pp. 791-796). IEEE.
Blanco, V., Carpente, L., Hinojosa, Y., & Puerto, J. (2010). Planning for agricultural forage harvesters and trucks: model, heuristics, and case study. Networks and Spatial Economics, 10(3), 321-343.
Bohle, C., Maturana, S., & Vera, J. (2010). A robust optimization approach to wine grape harvesting scheduling. European Journal of Operational Research, 200(1), 245-252.
Cai, X., Chen, J., Xiao, Y., & Xu, X. (2010). Optimization and coordination of fresh product supply chains with freshness‐keeping effort. Production and Operations Management, 19(3), 261-278.
Cheraghalipour, A., Paydar, M. M., & Hajiaghaei-Keshteli, M. (2019). Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms. Computers and Electronics in Agriculture, 162, 651-668.
Clarke, H. R. (1989). Combinatorial aspects of cropping pattern selection in agriculture. European Journal of Operational Research, 40(1), 70-77.
Country Programming Framework (CPF) 2012-2016 for Iran’s Agriculture Sector. Available at: http://www.fao.org/3/a-bp603e.pdf [Accessed: 16 October 2019a]
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., & Mo, J. (2016). A tactical supply chain planning model with multiple flexibility options: an empirical evaluation. Annals of Operations Research, 244(2), 429-454.
Ferrer, J. C., Mac Cawley, A., Maturana, S., Toloza, S., & Vera, J. (2008). An optimization approach for scheduling wine grape harvest operations. International Journal of Production Economics, 112(2), 985-999.
Financial tribune. (2015). Iran Top Consumer of Rice, Wheat.[Online] Available at: https://financialtribune.com/articles/people/16952/iran-top-consumer-of-rice-wheat [Accessed: 16 October 2019b]
Higgins, A. J., & Laredo, L. A. (2006). Improving harvesting and transport planning within a sugar value chain. Journal of the Operational Research Society, 57(4), 367-376.
Hossain, M., & Jahan, R. (2018). Supply chain improvement and product diversification through integrated zoning of Bangladesh rice milling industry. International Journal of Value Chain Management, 9(2), 187-207.
Madadi, A., Kurz, M. E., Mason, S. J., & Taaffe, K. M. (2014). Supply chain design under quality disruptions and tainted materials delivery. Transportation Research Part E: Logistics and Transportation Review, 67, 105-123.
Mangan, J., & Christopher, M. (2005). Management development and the supply chain manager of the future. The International Journal of Logistics Management, 16(2), 178-191.
Márquez, A. L., Baños, R., Gil, C., Montoya, M. G., Manzano‐Agugliaro, F., & Montoya, F. G. (2011). Multi‐objective crop planning using pareto‐based evolutionary algorithms. Agricultural Economics, 42(6), 649-656.
Piewthongngam, K., Pathumnakul, S., & Setthanan, K. (2009). Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry. Agricultural Systems, 102(1-3), 58-66.
Tan, B., & Çömden, N. (2012). Agricultural planning of annual plants under demand, maturation, harvest, and yield risk. European Journal of Operational Research, 220(2), 539-549.
Thoucharee, S., Pitakaso, R., & Phannikul, T. (2017). Application of Modified Differential Evolution for the supply chain management of rice in the lower North-Eastern Region of Thailand. Songklanakarin Journal of Science & Technology, 39(5).
Van Wart, J., Kersebaum, K. C., Peng, S., Milner, M., & Cassman, K. G. (2013). Estimating crop yield potential at regional to national scales. Field Crops Research, 143, 34-43.
Zhang, M., & Li, P. (2012). RFID application strategy in agri-food supply chain based on safety and benefit analysis. Physics Procedia, 25, 636-642.