A Mixed-Integer Linear Programming Model for Postharvest Supply Chain Network Management of Date Palm
Abstract
At present, the post-harvest operations of date palm are still traditional and need improvement to increase efficiency. Many farmers still operate without advanced techniques for post-harvest planning, controlling storage of date palm and making strategic decisions regarding transportation throughout the supply chain despite the fact that these activities are essential for effective post-harvest management. The present study therefore developed a mixed-integer linear programming model for date palm supply chain network to maximize the total profit of farmers. The computational results demonstrate that the total maximum profit increased by 23.54% compared to the profit before applying the model.
References
Khenaithip, J., 2015, Research and Development of Date Palm Varieties, Department of Agriculture, Bangkok.
Beamon, B.M., 1998, “Supply Chain Design and Analysis: Models and Methods,” International Journal of Production Economics, 55 (3), pp. 281-294.
Selcuk Erenguc, S., Simpson, N.C. and Vakharia, A.J., 1999, “Integrated Production/ Distribution Planning in Supply Chains: An Invited Review,” European Journal of Operational Research, 115 (2), pp. 219-236.
Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A. and Lakovou, E.T., 2014, “Agi-food Supply Chain Management: A Comprehensive Hierarchical Decision-making Framework and Critical taxonomy,” Biosystems Engineering, 120 (1), pp. 46-64.
Ahumad, O. and Villalobos, J.R., 2009, “Application of Planning Models in the Agri-food Supply Chain: A Review,” European Journal of Operational Research, 195 (1), pp. 1-20.
Mula, J., Peodro, D., Diaz-Madronero, M. and Vicens, E., 2010, “Mathematical Programming Models for Supply Chain Production and Transport Planning,” European Journal of Operational Research, 204 (3), pp. 377-390.
Huang, G.Q., Lau, J.S.K. and Mak, K.L., 2003, “The Impacts of Sharing Production Information on Supply Chain Dynamics: A Review of the Literature,” International Journal of Production Research, 41 (7), pp. 1483-1517.
Kazancoglu, Y., Yesim, D.O. and Ozbiltekin, M., 2018, “Minimizing Losses in Milk Supply Chain with Sustainability: An Example from Emerging Economy,” Resources, Conservation and Recycling, 139 (3), pp. 270-279.
Soto-Silva, W.E., Gonzalez-Araya, M., Oliva-Fernandez, M.A. and Pla-Aragones, L.M., 2017, “Optimizing Fresh Food Logistics for Processing: Application for Large Chilean Apple Supply Chain,” Computers and Electronics in Agriculture, 136 (1), pp. 42–57.
Sanjay, D.J. and Marcus, P., 2013, “Harvest Planning in the Brazilian Sugar Cane Industry via Mixed Integer Programming,” European Journal of Operational Research, 230 (2), pp. 374-384.
Hu, Y., Liu, Y., Wang, Z., Wen, J., Li, J. and Lu, J., 2020, “A Two-stage Dynamics Capacity Planning Approach for Agricultural Machinery Maintenance Service with Demand Uncertainty,” Biosystems Engineering, 190 (4), pp. 201-217.
Yousefi, B.A., Tavakkoli, M.A., Bozorgi, A.A. and Seifi, S., 2017, “Designing a Reliable multi-objective Queuing Model of a Petrochemical Supply Chain Network Underuncertainty: A Case Study,” Computers and Chemical Engineering, 100, pp.177-197.
Bilgen, B. and Ozkarahan, I., 2007, “A Mixed-integer Linear Programming Model for Bulk Grain Blending and Shipping,” International Journal of Production Economics, 107 (2), pp. 555-571.
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