Supporting Harvest Planning Decisions in the Tomato Industry

Eduardo A. Alarcón Gerbier, Marcela C. Gonzalez-Araya, Masly M. Rivera Moraga

2017

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.

References

  1. Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agrifood supply chain: A review. European Journal of Operational Research, 196(1), 1-20.
  2. Díaz-Madroñero, M., Peidro, David & Mula, Josefa (2015). A review of tactical optimization models for integrated production and transport routing planning decisions. Computer & Industrial Engineering, 88(10), 518-535.
  3. Higgins, A. (2006). Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mill. European Journal of Operation Research. 170(3), 987-1000.
  4. Lamsal, K., Jones, P. C. & Thomas, B. W. (2016). Harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage. Computer & Industrial Engineering, 91(1), 129-138.
  5. Lamsal, K., Jones, P. C. & Thomas, B. W. (2015). Continuous time scheduling for sugarcane harvest logistics in Louisiana. Computer & Industrial Engineering, 54(2), 616-627.
  6. López-Milán, E., Plà-Aragonés, L.M. (2015). Optimization of the supply chain management of sugarcane in Cuba. In International Series in Operations Research and Management Science, 224, 107-127.
  7. ODEPA (2016). La industria de la pasta de tomate (2016), de Oficina de Estudios y Políticas Agrarias. Avaible from <www.odepa.gob.cl>.
  8. Pathumnakul, S., Nakrachata-Amon, T. (2015). The applications of operations research in harvest planning: A case study of the sugarcane industry in Thailand, Journal of Japan Industrial Management Association, 65 (4E), 328-333.
  9. Soto-Silva, W. E., Nadal-Roig, E., González-Araya, M. C., Pla-Aragones, L. M. (2016). Operational research models applied to the fresh fruit supply chain. European Journal of Operation Research, 251(2), 245- 355.
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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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