Allaoui, H., Guo, Y., Choudhary, A., & Bloemhof, J. (2018). Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach. Computers & Operations Research, 89, 369-384.
Banasik, A., Kanellopoulos, A., Bloemhof-Ruwaard, J. M., & Claassen, G. D. H. (2019). Accounting for uncertainty in eco-efficient agri-food supply chains: A case study for mushroom production planning. Journal of cleaner production, 216, 249-256.
Blackburn, J., & Scudder, G. (2009). Supply chain strategies for perishable products: the case of fresh produce. Production and Operations Management, 18(2), 129-137.
Castro, N. R., & Swart, J. (2017). Building a roundtable for a sustainable hazelnut supply chain. Journal of Cleaner Production, 168, 1398-1412.
Catalá, L. P., Durand, G. A., Blanco, A. M., & Bandoni, J. A. (2013). Mathematical model for strategic planning optimization in the pome fruit industry. Agricultural Systems, 115, 63-71.
Donald, B. (2008). Food systems planning and sustainable cities and regions: the role of the firm in sustainable food capitalism. Regional Studies, 42(9), 1251-1262.
Derqui, B., Fayos, T., & Fernandez, V. (2016). Towards a more sustainable food supply chain: opening up invisible waste in food service. Sustainability, 8(7), 693.
Ghezavati, V. R., Hooshyar, S., & Tavakkoli-Moghaddam, R. (2017). A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. Central European Journal of Operations Research, 25(1), 29-54.
Glover, F. (1975). Improved linear integer programming formulations of nonlinear integer problems. Management Science, 22(4), 455-460.
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., ... & Toulmin, C. (2010). Food security: the challenge of feeding 9 billion people. science, 327(5967), 812-818.
Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152, 9-28.
Heilpern, S. (1992). The expected value of a fuzzy number. Fuzzy sets and Systems, 47(1), 81-86.
Jiménez, M., Arenas, M., Bilbao, A., & Rodrı, M. V. (2007). Linear programming with fuzzy parameters: an interactive method resolution. European Journal of Operational Research, 177(3), 1599-1609.
Jiménez, M. (1996). Ranking fuzzy numbers through the comparison of its expected intervals. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4(04), 379-388.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179-194.
Krishnan, R., Agarwal, R., Bajada, C., & Arshinder, K. (2020). Redesigning a food supply chain for environmental sustainability–An analysis of resource use and recovery. Journal of Cleaner Production, 242, 118374.
Le, T., Pék, Z., Takács, S., Neményi, A., & Helyes, L. (2018). The effect of plant growth-promoting rhizobacteria on yield, water use efficiency and Brix Degree of processing tomato. Plant, Soil and Environment, 64(11), 523-529.
Li, M., Fu, Q., Singh, V. P., Liu, D., & Li, T. (2019). Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture. Advances in water resources, 127, 209-224.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Mavrotas, G. (2007). Generation of efficient solutions in Multiobjective Mathematical Programming problems using GAMS. Effective implementation of the ε-constraint method. Lecturer, Laboratory of Industrial and Energy Economics, School of Chemical Engineering. National Technical University of Athens.
Mogale, D. G., Cheikhrouhou, N., & Tiwari, M. K. (2019). Modelling of sustainable food grain supply chain distribution system: a bi-objective approach. International Journal of Production Research, 1-24.
Moghaddam, S. T., Javadi, M., & Molana, S. M. H. (2019). A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization. Journal of Industrial Engineering International, 15(4), 709-721.
Quadra, P. R. B., Rodriguez, J. M., Terol, M. C. R., & Cruz, D. E. (2009, December). A three level multi-period multi-location and multi-crop sustainable supply chain model. In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1414-1418). IEEE.
Ren, C., Li, Z., & Zhang, H. (2019). Integrated multi-objective stochastic fuzzy programming and AHP method for agricultural water and land optimization allocation under multiple uncertainties. Journal of cleaner production, 210, 12-24.
Rocco, C. D., & Morabito, R. (2016). Production and logistics planning in the tomato processing industry: A conceptual scheme and mathematical model. Computers and electronics in agriculture, 127, 763-774.
Rocco, C. D., & Morabito, R. (2016). Robust optimisation approach applied to the analysis of production/logistics and crop planning in the tomato processing industry. International Journal of Production Research, 54(19), 5842-5861.
Sazvar, Z., Mirzapour Al-e-Hashem, S. M. J., Baboli, A., & Jokar, M. A. (2014). A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products. International Journal of Production Economics, 150, 140-154.
Sinha, A. K., & Anand, A. (2020). Optimizing supply chain network for perishable products using improved bacteria foraging algorithm. Applied Soft Computing, 86, 105921.
Soto-Silva, W. E., González-Araya, M. C., Oliva-Fernández, M. A., & Plà-Aragonés, L. M. (2017). Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain. Computers and electronics in agriculture, 136, 42-57.
Van Der Vorst, J. G., Tromp, S. O., & Zee, D. J. V. D. (2009). Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research, 47(23), 6611-6631.
Wang, J., Yao, S., Sheng, J., & Yang, H. (2019b). Minimizing total carbon emissions in an integrated machine scheduling and vehicle routing problem. Journal of Cleaner Production, 229, 1004-1017.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.