Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach

DOI10.1016/j.ejor.2020.08.015zbMath1487.90458OpenAlexW3049406896MaRDI QIDQ2029339

Masly M. Rivera-Moraga, Javier E. Gómez-Lagos, Marcela Cecilia González-Araya, Wladimir E. Soto-Silva

Publication date: 3 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.08.015

zbMATH Keywords

mixed integer linear programmingOR in agriculturefresh fruit harvestfruit supply chainGRASP metaheuristic

Mathematics Subject Classification ID

Mixed integer programming (90C11) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Case-oriented studies in operations research (90B90)

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Cites Work

• Operational research models applied to the fresh fruit supply chain
• An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: the outer approximation with equality relaxation and augmented penalty algorithm
• Harvest planning in the Brazilian sugar cane industry via mixed integer programming
• Application of planning models in the agri-food supply chain: A review
• A robust optimization approach to wine grape harvesting scheduling
• Measuring the impact of primal heuristics
• Optimization by GRASP
• Orange harvesting scheduling management: a case study

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