loading
Documents

Research.Publish.Connect.

Paper

Authors: Marcela C. González-Araya 1 ; Carolina A. Urzúa-Bobadilla 1 and Luis G. Acosta Espejo 2

Affiliations: 1 Universidad de Talca, Chile ; 2 Universidad Técnica Federico Santa María, Chile

ISBN: 978-989-758-218-9

Keyword(s): Pome Fruit Harvest, Bin Location, Optimization Models, Mathematical Programming.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; e-Business ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Logistics ; Management Sciences ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; Optimization ; Supply Chain Management ; Symbolic Systems

Abstract: In Chile, it has been observed that there is downtime during the apple harvest season. This is largely due to the long distances that the workers must cover and the lack of bins in the orchards. Currently, the administrators do not use methods that enable them to estimate the number of bins required or where they should be located. Taking these observations into consideration, this research paper proposes a plan for bin placement in apple orchards by applying a location model with the objective of diminishing distances covered by the harvest personnel. With data from an orchard in the Maule Region of Chile, the number of bins to be used is calculated taking into consideration the particular surface characteristics of the plantation and the apple variety maturity indicators. For the spatial distribution of the bins, the capacitated p-median was used, because better results were obtained with it in terms of reducing travel distance during the harvest and the ease of implementing the sol utions. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.153.73.72

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
C. González-Araya, M.; A. Urzúa-Bobadilla, C. and G. Acosta Espejo, L. (2017). Applying Mathematical Programming to Planning Bin Location in Apple Orchards.In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-218-9, pages 345-352. DOI: 10.5220/0006192203450352

@conference{icores17,
author={Marcela C. González{-}Araya. and Carolina A. Urzúa{-}Bobadilla. and Luis G. Acosta Espejo.},
title={Applying Mathematical Programming to Planning Bin Location in Apple Orchards},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2017},
pages={345-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006192203450352},
isbn={978-989-758-218-9},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Applying Mathematical Programming to Planning Bin Location in Apple Orchards
SN - 978-989-758-218-9
AU - C. González-Araya, M.
AU - A. Urzúa-Bobadilla, C.
AU - G. Acosta Espejo, L.
PY - 2017
SP - 345
EP - 352
DO - 10.5220/0006192203450352

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.