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Authors: Eduardo A. Alarcón Gerbier ; Marcela C. Gonzalez-Araya and Masly M. Rivera Moraga

Affiliation: Universidad de Talca, Chile

ISBN: 978-989-758-218-9

Keyword(s): Scheduling, Logistics, Integer Programming, Tomato Industry, Harvest Planning.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; e-Business ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Logistics ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; Optimization ; Pattern Recognition ; Scheduling ; Software Engineering ; Symbolic Systems

Abstract: Tomato is a raw material that easily deteriorates once harvested and loaded on trucks, losing juice and flesh. Therefore, the reduction of trucks’ waiting times in the receiving area of a processing plant can allow reducing tomato waste. In this article, we develop a model that aims to keep a continuous flow of fresh tomato to a paste processing plant and to decrease trucks’ waiting times in the plant receiving area. The model is used in a real case of a tomato paste company. The obtained solutions present a better allocation of the harvest shifts, allowing more uniform truck arrivals to the plant during the day. Therefore, trucks waiting times are reduced, decreasing raw material deterioration.

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Paper citation in several formats:
A. Alarcón Gerbier, E.; C. Gonzalez-Araya, M. and M. Rivera Moraga, M. (2017). Supporting Harvest Planning Decisions in the Tomato Industry.In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-218-9, pages 353-359. DOI: 10.5220/0006193203530359

@conference{icores17,
author={Eduardo A. Alarcón Gerbier. and Marcela C. Gonzalez{-}Araya. and Masly M. Rivera Moraga.},
title={Supporting Harvest Planning Decisions in the Tomato Industry},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2017},
pages={353-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006193203530359},
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 - Supporting Harvest Planning Decisions in the Tomato Industry
SN - 978-989-758-218-9
AU - A. Alarcón Gerbier, E.
AU - C. Gonzalez-Araya, M.
AU - M. Rivera Moraga, M.
PY - 2017
SP - 353
EP - 359
DO - 10.5220/0006193203530359

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