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

Gómez-Lagos, J.; González-Araya, M.; Soto-Silva, Wladimir E.; Rivera-Moraga, M.

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dc.contributor.author	Gómez-Lagos, J.
dc.contributor.author	González-Araya, M.
dc.contributor.author	Soto-Silva, Wladimir E.
dc.contributor.author	Rivera-Moraga, M.
dc.date.accessioned	2021-11-23T12:50:43Z
dc.date.available	2021-11-23T12:50:43Z
dc.date.issued	2021
dc.identifier.uri	http://repositorio.ucm.cl/handle/ucm/3510
dc.description.abstract	In a fruit harvest season, the fruit must be collected during a relatively short period of intense activity. Moreover, large fruit export companies commonly manage multiple orchards where the resources and labor are shared, making the decision process more complex. In this study, we address this harvest problem by proposing a mixed integer linear programming model for supporting tactical decisions during the harvest season in order to reduce total costs. This includes costs related to the fruit not reaching maturity and the number of harvest days. Due to the difficulty of solving this model optimally when real cases are considered, we developed a GRASP metaheuristic method. We compared the GRASP metaheuristic solution to the best integer solution obtained by an exact method using a real case. We observed that the metaheuristic produced a solution in less computational time than the best integer solution. The total costs obtained by the GRASP metaheuristic were two percent greater than the total cost obtained by the best integer solution. Additionally, we analyzed two scenarios to establish if the joint resource planning of the orchards would allow a cost reduction. The GRASP metaheuristic provides orchard managers with a harvest plan in a timely manner and adds greater flexibility to the decision process. The proposed model can be used to plan the harvesting of a variety of fresh fruits.	es_CL
dc.language.iso	en	es_CL
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 Chile	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/cl/	*
dc.source	European Journal of Operational Research, 290(1), 297-312	es_CL
dc.subject	OR in agriculture	es_CL
dc.subject	Fresh fruit harvest	es_CL
dc.subject	Mixed integer linear programming	es_CL
dc.subject	GRASP metaheuristic	es_CL
dc.subject	Fruit supply chain	es_CL
dc.title	Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach	es_CL
dc.type	Article	es_CL
dc.ucm.facultad	Facultad de Ciencias de la Ingeniería	es_CL
dc.ucm.indexacion	Scopus	es_CL
dc.ucm.indexacion	Isi	es_CL
dc.ucm.doi	doi.org/10.1016/j.ejor.2020.08.015	es_CL