How to cite this paper
Mohammadi, Z., Barzinpour, F & Teimoury, E. (2020). Designing sustainable supply chain network by considering direct and indirect shipment: Evidence from food industry.Decision Science Letters , 9(3), 323-336.
Refrences
Accorsi, R. (2019). Planning Sustainable Food Supply Chains to Meet Growing Demands.
Amorim, P., Curcio, E., Almada-Lobo, B., Barbosa-Povoa, A. P., & Grossmann, I. E. (2016). Supplier Selection for Supply Chains in the Processed Food Industry. European Journal of Operational Research, 252, 801-814.
Amorim, P., Günther, H. O., & Almada-Lobo, B. (2012). Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics, 138(1), 89-101.
Apaiah, R. K., Hendrix, E. M., Meerdink, G., & Linnemann, A. R. (2005). Qualitative methodology for efficient food chain design. Trends in Food Science & Technology, 16(5), 204-214.
Atthirawong, W., & Choomrit, N., (2006). Food supply chain design case of white shrimp industry in Thailand. Proceedings of the 11th Annual Conference of Asia Pacific Decision Sciences Institute Hong Kong, 823-826.
Barzinpour, F., & Taki, P. (2018). A dual-channel network design model in a green supply chain considering pricing and transportation mode choice. Journal of Intelligent Manufacturing, 29(7), 1465-1483.
Chaabane, A., & Geramianfar, R. (2015, May). Sustainable supply chain planning and optimization trade-offs between cost, GHG emissions and service level. In 2015 4th International Conference on Advanced Logistics and Transport (ICALT) (pp. 327-332). IEEE.
Goodarzi, A. H., & Zegordi, S. H. (2016). A location-routing problem for cross-docking networks: A biogeography-based optimization algorithm. Computers & Industrial Engineering, 102, 132-146.
Grunow, M., & Piramuthu, S. (2013). RFID in highly perishable food supply chains–Remaining shelf life to supplant expiry date?. International Journal of Production Economics, 146(2), 717-727.
Hiassat, A., & Diabat, A. (2011, December). A location inventory routing problem with perishable products. In Proceedings of the 41st international conference on computers and industrial engineering (pp. 130-135). Curran Associates, Inc. Los Angeles.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Jonkman, J., Bloemhof, J. M., Van der Vorst, J. G., & van der Padt, A. (2017). Selecting food process designs from a supply chain perspective. Journal of Food Engineering, 195, 52-60.
Kalantari, M., & Pishvaee, M.S. (2016). A robust possibilistic programming approach to drug supply chain master planning. Journal of Industrial Engineering Research in Production Systems, 4(7), 49-67.
Klincewicz, J. G. (1990). Solving a freight transport problem using facility location techniques. Operations Research, 38(1), 99-109.
Kouki, C., Sahin, E., Jemai, Z., & Dallery, Y. (2009). Consideration of the Undershoot in an (r, Q) Inventory Model for Perishables. IFAC Proceedings Volumes, 42(4), 1573-1578.
Mavrotas, G., & Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, 219(18), 9652-9669.
Min, H., & Ko, H. J. (2008). The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers. International Journal of Production Economics, 113(1), 176-192.
Min, H., Ko, H. J., & Ko, C. S. (2006). A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega, 34(1), 56-69.
Min, H., Ko, C. S., & Ko, H. J. (2006). The spatial and temporal consolidation of returned products in a closed-loop supply chain network. Computers & Industrial Engineering, 51(2), 309-320.
Mogale, D. G., Kumar, S. K., & Tiwari, M. K. (2016). Two stage Indian food grain supply chain network transportation-allocation model. IFAC-PapersOnLine, 49(12), 1767-1772.
Mohammed, A., & Wang, Q. (2017). The fuzzy multi-objective distribution planner for a green meat supply chain. International Journal of Production Economics, 184, 47-58.
Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2020). Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics, 219, 312-327.
Nakhai Kamalabadi, A., Ghasimi, S.A., & Ghodsi, R. (2009). Development and improving supply chain inventory control model for perishable items using just-in-time logistic. Journal of Industrial Management Faculty Humanities, 4(9).
Onggo, B. S., Panadero, J., Corlu, C. G., & Juan, A. A. (2019). Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products. Simulation Modelling Practice and Theory, 97, 101970.
Pishvaee, M. S., & Rabbani, M. (2011). A graph theoretic-based heuristic algorithm for responsive supply chain network design with direct and indirect shipment. Advances in Engineering Software, 42(3), 57-63.
Rahimi, M., & Ghezavati, V. (2018). Sustainable multi-period reverse logistics network design and planning under uncertainty utilizing conditional value at risk (CVaR) for recycling construction and demolition waste. Journal of Cleaner Production, 172, 1567-1581.
Rianthong, N., & Dumrongsiri, A. (2013). Time-partitioning heuristic algorithm for optimal production, inventory, and transportation planning with direct shipment. Songklanakarin Journal of Science & Technology, 35(3).
Rohmer, S. U. K., Gerdessen, J. C., & Claassen, G. D. H. (2019). Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis. European Journal of Operational Research, 273(3), 1149-1164.
Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics, 131(1), 421-429.
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.
Varsei, M., & Polyakovskiy, S. (2017). Sustainable supply chain network design: A case of the wine industry in Australia. Omega, 66, 236-247.
Yakovleva, N., Sarkis, J., & Sloan, T. W. (2010). Sustainability indicators for the food supply chain. In Environmental Assessment and Management in the Food Industry (pp. 297-329). Woodhead Publishing.
Yu, M., & Nagurney, A. (2013). Competitive food supply chain networks with application to fresh produce. European Journal of Operational Research, 224(2), 273-282.
Zhang, Q., Luo, J., & Duan, Y. (2016). Buyer–vendor coordination for fixed lifetime product with quantity discount under finite production rate. International Journal of Systems Science, 47(4), 821-834.
Amorim, P., Curcio, E., Almada-Lobo, B., Barbosa-Povoa, A. P., & Grossmann, I. E. (2016). Supplier Selection for Supply Chains in the Processed Food Industry. European Journal of Operational Research, 252, 801-814.
Amorim, P., Günther, H. O., & Almada-Lobo, B. (2012). Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics, 138(1), 89-101.
Apaiah, R. K., Hendrix, E. M., Meerdink, G., & Linnemann, A. R. (2005). Qualitative methodology for efficient food chain design. Trends in Food Science & Technology, 16(5), 204-214.
Atthirawong, W., & Choomrit, N., (2006). Food supply chain design case of white shrimp industry in Thailand. Proceedings of the 11th Annual Conference of Asia Pacific Decision Sciences Institute Hong Kong, 823-826.
Barzinpour, F., & Taki, P. (2018). A dual-channel network design model in a green supply chain considering pricing and transportation mode choice. Journal of Intelligent Manufacturing, 29(7), 1465-1483.
Chaabane, A., & Geramianfar, R. (2015, May). Sustainable supply chain planning and optimization trade-offs between cost, GHG emissions and service level. In 2015 4th International Conference on Advanced Logistics and Transport (ICALT) (pp. 327-332). IEEE.
Goodarzi, A. H., & Zegordi, S. H. (2016). A location-routing problem for cross-docking networks: A biogeography-based optimization algorithm. Computers & Industrial Engineering, 102, 132-146.
Grunow, M., & Piramuthu, S. (2013). RFID in highly perishable food supply chains–Remaining shelf life to supplant expiry date?. International Journal of Production Economics, 146(2), 717-727.
Hiassat, A., & Diabat, A. (2011, December). A location inventory routing problem with perishable products. In Proceedings of the 41st international conference on computers and industrial engineering (pp. 130-135). Curran Associates, Inc. Los Angeles.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93-103.
Jonkman, J., Bloemhof, J. M., Van der Vorst, J. G., & van der Padt, A. (2017). Selecting food process designs from a supply chain perspective. Journal of Food Engineering, 195, 52-60.
Kalantari, M., & Pishvaee, M.S. (2016). A robust possibilistic programming approach to drug supply chain master planning. Journal of Industrial Engineering Research in Production Systems, 4(7), 49-67.
Klincewicz, J. G. (1990). Solving a freight transport problem using facility location techniques. Operations Research, 38(1), 99-109.
Kouki, C., Sahin, E., Jemai, Z., & Dallery, Y. (2009). Consideration of the Undershoot in an (r, Q) Inventory Model for Perishables. IFAC Proceedings Volumes, 42(4), 1573-1578.
Mavrotas, G., & Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, 219(18), 9652-9669.
Min, H., & Ko, H. J. (2008). The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers. International Journal of Production Economics, 113(1), 176-192.
Min, H., Ko, H. J., & Ko, C. S. (2006). A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega, 34(1), 56-69.
Min, H., Ko, C. S., & Ko, H. J. (2006). The spatial and temporal consolidation of returned products in a closed-loop supply chain network. Computers & Industrial Engineering, 51(2), 309-320.
Mogale, D. G., Kumar, S. K., & Tiwari, M. K. (2016). Two stage Indian food grain supply chain network transportation-allocation model. IFAC-PapersOnLine, 49(12), 1767-1772.
Mohammed, A., & Wang, Q. (2017). The fuzzy multi-objective distribution planner for a green meat supply chain. International Journal of Production Economics, 184, 47-58.
Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2020). Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics, 219, 312-327.
Nakhai Kamalabadi, A., Ghasimi, S.A., & Ghodsi, R. (2009). Development and improving supply chain inventory control model for perishable items using just-in-time logistic. Journal of Industrial Management Faculty Humanities, 4(9).
Onggo, B. S., Panadero, J., Corlu, C. G., & Juan, A. A. (2019). Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products. Simulation Modelling Practice and Theory, 97, 101970.
Pishvaee, M. S., & Rabbani, M. (2011). A graph theoretic-based heuristic algorithm for responsive supply chain network design with direct and indirect shipment. Advances in Engineering Software, 42(3), 57-63.
Rahimi, M., & Ghezavati, V. (2018). Sustainable multi-period reverse logistics network design and planning under uncertainty utilizing conditional value at risk (CVaR) for recycling construction and demolition waste. Journal of Cleaner Production, 172, 1567-1581.
Rianthong, N., & Dumrongsiri, A. (2013). Time-partitioning heuristic algorithm for optimal production, inventory, and transportation planning with direct shipment. Songklanakarin Journal of Science & Technology, 35(3).
Rohmer, S. U. K., Gerdessen, J. C., & Claassen, G. D. H. (2019). Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis. European Journal of Operational Research, 273(3), 1149-1164.
Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics, 131(1), 421-429.
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.
Varsei, M., & Polyakovskiy, S. (2017). Sustainable supply chain network design: A case of the wine industry in Australia. Omega, 66, 236-247.
Yakovleva, N., Sarkis, J., & Sloan, T. W. (2010). Sustainability indicators for the food supply chain. In Environmental Assessment and Management in the Food Industry (pp. 297-329). Woodhead Publishing.
Yu, M., & Nagurney, A. (2013). Competitive food supply chain networks with application to fresh produce. European Journal of Operational Research, 224(2), 273-282.
Zhang, Q., Luo, J., & Duan, Y. (2016). Buyer–vendor coordination for fixed lifetime product with quantity discount under finite production rate. International Journal of Systems Science, 47(4), 821-834.